I design and validate quantitative systems for trading and high-stakes decision-making. I combine machine learning, optimization, and applied mathematics to build models that remain robust under uncertainty — not just in-sample. Core work: • Systematic trading strategies (design, backtesting, robustness) • Forecasting and optimization systems with real business impact • Simulation-based risk models (Monte Carlo, copulas) With a strong consulting background, I deliver decision-ready systems — not just analysis. ━━━━━━━━━━━━━━━━━━━━━━━ 🔹 What I can help you with 💹 Trading & Quant Systems • Strategy design and validation (Python, R, TradeStation / MultiCharts) • Walk-forward testing, regime analysis, robustness checks • Portfolio construction and risk-adjusted performance • Signal development and execution logic 📈 Forecasting & Optimization • Demand forecasting (statistical + ML approaches) • Pricing and revenue optimization • Scenario modeling for business planning • Experimentation design (e.g., geo-based lift tests) ⚠️ Risk Modeling & Simulation • Monte Carlo simulation frameworks • Copula-based dependency modeling • Stress testing under different regimes • Decision-making under uncertainty ━━━━━━━━━━━━━━━━━━━━━━━ 🔹 How I work Most models fail because they don’t generalize. My approach: • Focus on out-of-sample performance and robustness • Build scalable, testable systems — not one-off analyses • Translate outputs into clear decisions and business impact ━━━━━━━━━━━━━━━━━━━━━━━ 🔹 Tools & Stack • Python, R (advanced modeling, simulation, ML) • TradeStation, MultiCharts (trading systems) • R Shiny (interactive decision tools) • AWS (deployment and scaling) ━━━━━━━━━━━━━━━━━━━━━━━ 🔹 Background • MSc Machine Learning — Imperial College London • MSc Applied Mathematics — University of Edinburgh • MSc Mathematical Economics — Paris 1 Panthéon-Sorbonne University • 5+ years experience across finance, energy, and data-driven consulting ━━━━━━━━━━━━━━━━━━━━━━━ If you’re working on a trading, forecasting, or risk-critical problem, feel free to reach out. I’m happy to quickly assess your case and suggest a concrete approach.

I help researchers, institutions, and organizations plan, design, and complete Quantitative Research projects with reliable survey systems, clean datasets, and defensible statistical results. Are you working on a Quantitative Research study, thesis, dissertation, market research project, behavioural study, or paper? I can help you move from research questions to structured survey design, data collection, SPSS analysis, and clear interpretation. As a Quantitative Research Consultant, I provide end-to-end support from study design and survey systems development to data cleaning, statistical analysis, and reporting. My approach ensures your Quantitative Research project is methodologically sound, statistically valid, and aligned with your research objectives. I specialize in Quantitative Research workflows involving Qualtrics, SurveyMonkey, Jotform, Typeform, SPSS, SmartPLS, R, Python, Excel, and Google Sheets. Whether your Quantitative Research project requires survey programming, hypothesis testing, regression, ANOVA, factor analysis, mediation, moderation, or psychometric validation, I help you produce accurate and publication-ready results. ✅ Core Expertise Quantitative Research Design and Consultation Quantitative Research Survey Systems and Data Collection Survey Design and Survey Programming Qualtrics, SurveyMonkey, Jotform, and Typeform Setup SPSS Analysis and Statistical Modeling Data Cleaning, Structuring, and Interpretation Psychometrics, Scale Development, and Validation Hypothesis Testing, RCT Analysis, Regression, ANOVA, and Factor Analysis ✅ What I Deliver Quantitative Research survey instruments aligned with study goals Clean and structured datasets ready for Quantitative Research analysis Accurate statistical analysis with clear interpretation Publication-ready Quantitative Research results, tables, and reports Methodologically sound research consulting support ✅ Tools & Platforms Survey Platforms: Qualtrics, SurveyMonkey, Jotform, Typeform Statistical Tools: IBM SPSS, AMOS, SmartPLS, R Data Tools: Excel, Google Sheets Technical Support: Python for data processing and workflows ✅ Why Clients Trust Me Strong experience across Quantitative Research, survey systems, and SPSS analysis Consultant-level approach to Quantitative Research design and data strategy Strong foundation in psychology, behavioral research, and statistics Clear communication, structured workflow, and reliable delivery Focus on accurate, defensible, and meaningful insights ✅ Let’s Collaborate If you need support with Quantitative Research, survey analysis, SPSS, data analysis, or data interpretation, I can help you transform complex data into clear, accurate, and publication-ready insights. From research design to statistical analysis and reporting, I will ensure your results are professionally analysed, clearly presented, and aligned with your research objectives. Let’s turn your data into meaningful insights and impactful results.

I am an Applied AI & Machine Learning Consultant with a strong background in data analytics, predictive modeling, statistical analysis, and decision support systems. My experience spans finance, lending, capital markets, marine analytics, retail, and business intelligence, where I have developed data-driven solutions that improve forecasting accuracy, automate analytical workflows, and support strategic decision-making. My core expertise lies in transforming raw data into actionable insights through data preparation, feature engineering, statistical modeling, machine learning, and interactive analytics. I enjoy working on challenging analytical problems, particularly those involving predictive modeling, time-series forecasting, risk assessment, and large-scale structured datasets. My focus is always on building practical, production-ready solutions rather than purely theoretical models. I have hands-on experience developing regression, classification, ensemble learning, and forecasting models using Python and R. My work includes model selection, hyperparameter optimization, feature engineering, model validation, explainability, performance monitoring, and deployment-ready analytics pipelines. I am comfortable working with algorithms such as XGBoost, LightGBM, CatBoost, Random Forest, Gradient Boosting, Logistic Regression, Elastic Net, Support Vector Machines, Neural Networks, and time-series techniques including ARIMA and GARCH, while selecting the most appropriate approach based on business objectives and data characteristics. My experience also includes financial and quantitative analytics, where I have built predictive models and analytical dashboards for mortgage-backed securities, probability of default, options analytics, stock market analysis, foreign exchange research, and market intelligence. These projects strengthened my understanding of financial datasets, feature engineering for market data, risk modeling, and the importance of robust validation techniques for real-world decision making. Beyond predictive modeling, I develop interactive analytical applications and dashboards using Streamlit and R Shiny, enabling stakeholders to visualize complex datasets, monitor model outputs, and interact with analytics through intuitive web-based interfaces. My technical toolkit includes Python (Pandas, NumPy, Scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, PyTorch, SciPy, Statsmodels, Plotly, Streamlit, FastAPI), R (tidyverse, caret, glmnet, forecast, Shiny), SQL, Power BI, Tableau, Git, Jupyter Notebook, Google Colab, and cloud-based analytics environments. I also recently expanded my expertise into modern AI applications, prompt engineering, AI workflow automation, agentic AI, AI productivity systems, and practical enterprise adoption of Generative AI technologies. This complements my existing machine learning experience by helping organizations combine traditional predictive analytics with modern AI-powered workflows. I believe AI should be applied thoughtfully. I use classical statistical and machine learning methods when they provide the best predictive performance, and leverage Generative AI where it genuinely improves productivity, automation, knowledge extraction, or decision support. My approach emphasizes explainability, reproducibility, robust validation, and solutions that deliver measurable business value. Whether the objective is predictive analytics, statistical modeling, machine learning, AI-assisted automation, financial analytics, business intelligence, or interactive dashboards, I enjoy collaborating with clients to build scalable, reliable, and data-driven solutions that solve real business problems.

I am a skilled Python developer, Data scientist, and Mathematician, with extensive experience in machine learning, writing, academic services, such as tutoring, proofreading, formatting (e.g., APA/MLA) and web technologies like HTML, React, Django, Angular and SQL. In addition to software development, I am also an experienced mathematics, statistics and economics tutor. I specialise in data science, mathematical modelling and regression analysis, and I am proficient with tools such as R, STATA, SPSS, NVivo, MATLAB, and Google Cloud Platform services. If you need help with your projects, whether it's complex data analysis, academic and professional guidance, Agentic systems or software solutions, I’m here to deliver high-quality work efficiently. Let’s collaborate and get things done.

📈 Transforming Data into Strategic Business Outcomes As a PhD Candidate in Operational Research and Data Science, I specialize in turning complex data into actionable insights. With deep expertise in machine learning, data analytics, and business optimization, I design solutions that enhance revenue, reduce costs, and improve operational workflows . ⭐ Services Offered: • Predictive Modeling & Analytics: Design custom machine learning models to forecast customer behavior, market trends, and operational risks. • Data-Driven Strategy Development: Leverage advanced analytics to identify opportunities for revenue growth and cost reduction. • Optimization Solutions: Implement strategies for inventory management, logistics, and resource allocation. • Custom Data Visualization: Create interactive visualizations to convey complex insights clearly and effectively. 🛠️ Core Skills & Tools: • Programming Languages: Python, R, C++, JavaScript, SQL, MATLAB, LaTex • Machine Learning: Supervised Learning, Unsupervised Learning, Deep Learning, Neural Networks, Support Vector Machines (SVM), Decision Trees, Random Forests, Gradient Boosting Machines (GBM), K-Nearest Neighbors (KNN), Principal Component Analysis (PCA). • Data Science: Exploratory Data Analysis (EDA), Data Wrangling, Data Preprocessing, Dimensionality Reduction, Feature Selection, Data Cleaning, Hypothesis Testing, A/B Testing, Ensemble Methods, Clustering, Association Rules, Natural Language Processing (NLP), Big Data. • Time Series Analysis: ARIMA Modeling, Seasonal Decomposition, Exponential Smoothing, State Space Models, Cointegration, Vector Autoregression (VAR), Autoregressive Moving Average (ARMA), Unit Root Testing, Granger Causality, Kalman Filter, Forecasting Accuracy, High-Frequency Data Analysis, Long Memory Processes, Frequency Domain Analysis • Platforms: PostgreSQL, Jupyter Notebooks, DataBricks, CPLEX, Hexaly, Power BI, Microsoft Office, Advanced Computing Servers 💼 Notable Projects: • Developed machine learning models for warehouse demand analysis, predicting trends with high accuracy. • Delivered interactive data visualizations using D3.js to showcase data insights for business platforms. • Optimized warehouse operations by implementing robust algorithms, reducing order preparation times, and enhancing throughput. 🎯 Why Choose Me? • Impact-Oriented: Proven track record of creating value through data science solutions. • Clear Communication: Complex ideas translated into actionable business strategies. • Adaptability: Tailored solutions that align with your unique business goals. Let’s collaborate to harness the power of your data!

✅ TOP RATED RESEARCHER IN ECONOMICS✅. ✅Experienced Data Analyst, STATA, EVIEWS, R, Python, PowerBI, Tableau ✅ Expert Advisor and Researcher: Thesis, Dissertation, and Project Writing ✅Peer reviewer for Springer Nature, Francis & Taylor, and The Global Economics Science I am a researcher and lecturer with over 6 years of experience in economic data analysis, proofreading, & editing. I have a BA in economics and a Masters in Economics (Development Economics) and have high proficiency in research, data analysis, data visualization, interpretation of obtained results, academic writing, and business writing. With a background in economics and econometrics, I have published not one but morethan ten articles in top-tier journals, both in Q1 and Q2, in less than six months. My aim as an academic researcher and writer is to tailor my assistance to your specific needs throughout the entire writing process. This includes: ✅ Developing research proposals ✅ Conducting data analysis ✅ Interpreting and reporting results ✅ Proofread and edit your research paper. ✅Recommend journals for publication ✅ Thesis or Dissertation Writer and editor ✅ Dissertation writer and editor ✅ literature review(SLR) PRISMA, Bibliometric Analysis using R or Vosviewer ✅Thesis formatting and proofreader ✅Dissertation formatting ✅ Editing and Proofreading ✅ Editing and content rewriting ✅ Editing and Proofreading thesis ✅ Editing and Proofreading dissertations ✅ Editing and Proofreading Research Articles and Research Papers ✅ Editing and Proofreading Journal research articles ✅ Editing and Proofreading Conference research articles I am well-versed in various citation styles, such as APA, MLA, Harvard, Chicago, and Oxford, and will ensure that your work adheres to your desired guidelines. Additionally, I provide coaching on the research process, fieldwork, and the development of research instruments/survey tools like Questionnaires. Furthermore, in the realm of Business, I offer support with Market research, company analysis, data analysis, and forecasting, leveraging my expertise in data science. Whether you require assistance in academic or business research, I am equipped to elevate your projects to the next level. My extensive experience in various writing domains allows me to adapt to different styles and requirements, ensuring that your project stands out in its niche. I take great pride in my attention to detail and my ability to meet tight deadlines without compromising on quality. Clients have consistently praised my dedication, professionalism, and ability to exceed expectations. Additionally, my expertise includes working with: ✅Econometrics Modelling ✅Power-BI ✅ EVIEWS ✅ STATA ✅ PYTHON ✅ Tableau ✅ R & R-Studio I also have edited and published the following articles in top Q1 and Q2 journals: Research Experience/Publications 1. Examining the dynamics between banking sector performance, environmental sustainability, and environmental technology innovation: evidence from G20 countries (Taylor & Francis; Cogent Business & Management, 11(1); Q2). Indexed in DOAJ, ESCI, Scopus, and Web of Science; IF:3 2. Impact of digital transformation on financial stability in emerging markets: evidence from Ethiopia (Springer, Discover Sustainability, 15, 302: Q2). Indexed in DOAJ, ESCI, and Scopus; IF:2.6). 3. Natural resource rent's effect on Ethiopian inequality and manufacturing's moderating role: Evidence from dynamic simulated ARDL model (Emerald; International Journal of Development Issues. Q2; ABDC; EBSCO) 4. Disentangling the effects of globalization on growth: Evidence from Ethiopia using an ARDL approach (Elsevier; Research in Globalization; Q1; DOAJ; Scopus; citescore:8.0). 5. The impact of improved beehive technology adoption on rural household income, consumption expenditure, and asset wealth in Wonchi districts, Ethiopia (with Tegegn Defar Mosisa; Sringer; Discover Global Society; DOAJ). 6. The impact of board gender diversity on capital structure: Evidence from the Ethiopian banking sector (Taylor & Francis; Cogent Business & Management, 10(3); Q2). Indexed in DOAJ, ESCI, Scopus, and Web of Science; IF:3. 7. Revisiting the relationship between board structure and bank performance in Ethiopian commercial banks (Taylor & Francis; Cogent Business & Management, 10(2); Q2). Indexed in DOAJ, ESCI, Scopus, and Web of Science; IF:3 8. The moderating effect of income inequality on the relationship between economic growth and political economy, human capital, innovation, and saving channels in Ethiopia (Springer; Discover Global Society, 1(1); DOAJ) 9. Impacts of external factors on Ethiopia’s economic growth: Insights on foreign direct investment, remittances, exchange rates, and imports (Elsevier: Heliyon; Scopus, DOAJ Q1 and IF:3.4) ...... (see from Google scholar others using search as "Dereje Fedasa Hordofa") I'm here to help! I guarantee you will be satisfied with my work! Have a look at my work in my portfolio below: Let's talk!

I have experience in econometrics, biostatistics, statistical analysis, and forecasting. I've worked with PhD researchers scrambling before their defense, policy teams who needed econometric data analysis that could survive a room full of critics, and healthcare professionals whose clinical data analysis had to meet journal standards before submission. In every case, the goal was the same: to get the data analysis right, explain it clearly, and make sure it holds up. ⤷ 5+ years of experience ⤷ Top-rated Data Analyst on Upwork ⤷ 50+ completed data analysis projects ⤷ 100% Job Success Score ⤷ Certified: Data Visualization with R (IBM) | R for Data Science (IBM) | Google Analytics Here's what I've learned after five years of data analysis work: Most projects don't fail because of bad data. They fail because the wrong question was asked, the wrong model was chosen, or the assumptions were never checked. That's the gap I close. Before I run a single test, I make sure I understand your research question, your dataset, and what your results actually need to prove. What I do for you I handle the full data analysis process, from messy raw data to clean, documented, and publication-ready results. For researchers and students working on dissertations, I support the entire process, starting from research design and data preparation, moving through model selection and statistical analysis, and finishing with results interpretation written in language your committee will actually accept. Whether your study calls for regression analysis, hypothesis testing, or a more advanced econometric approach, I make sure every methodological decision is justified and clearly explained. For economists, policy researchers, and development teams, I bring rigorous econometrics to problems that demand more than basic statistical analysis. Program evaluation, causal inference, and policy impact work require models that hold up under scrutiny. I build those models using OLS, instrumental variables, difference-in-differences, panel data methods with fixed and random effects, and time series approaches including ARIMA, VAR, and cointegration testing. The econometrics I apply is always matched to your specific research question, not applied as a default. For healthcare professionals and clinical researchers, I translate complex health data into statistical analysis that meets publication standards. Survival analysis, Cox regression, Kaplan-Meier estimation, longitudinal data analysis, and multilevel modeling are tools I use regularly on clinical and public health datasets. I understand the standards peer reviewers apply, and I build the statistical analysis with those expectations in mind from day one. For businesses and financial teams, I provide data analysis that connects numbers to decisions. Predictive modeling, financial forecasting, and regression analysis help you understand what is driving your outcomes and where things are likely to go. I go beyond surface-level reporting and deliver statistical analysis that your leadership can actually act on. Every engagement is delivered with fully reproducible and well-documented code in R, Stata, Python, or SPSS. That means your results can be verified, your methodology can be defended, and your analysis can be built upon as your project evolves. Have a dataset, a deadline, or a research question you are not sure how to approach? Message me now. I respond within a few hours; I will tell you honestly whether I can help, and if I can, I will tell you exactly how. No vague proposals, no wasted time, just a clear plan for getting your data analysis done right.

Versatile data professional with extensive experience in data analysis, team leadership, and statistical research. Skilled in data extraction, web scraping, and advanced analytics across multiple domains, with a strong background in mathematics and project management. Mathematician. Likes puzzles.

Bioinformatics expert and professional bioinformatician for RNA-seq, scRNA-seq, DEG, GEO, TCGA, and pathway analysis. Send me your raw data, count matrix, or GEO/TCGA accession ID and I deliver clean results, publication-ready figures, reproducible R and Python code, and a clear biological interpretation report. 📩 Message me your dataset and I'll tell you exactly what I can deliver, fast. ⭐ Top Rated · 100% Job Success · 5.0 (24 reviews) · 205+ hours on Upwork. WHAT I DELIVER: bioinformatics done right, fast, and reproducible • RNA-seq analysis: QC, alignment, normalization, differential expression (DEG) with DESeq2, edgeR, limma, volcano plots, heatmaps, publication-ready figures • scRNA-seq analysis: Seurat clustering, cell-type annotation, marker genes, UMAP • GEO reanalysis / GEO microarray reanalysis: from any GSE accession to DEG + enrichment • TCGA analysis: tumor vs normal differential expression, survival analysis (Kaplan–Meier, Cox) • Pathway analysis & functional enrichment: GO, KEGG, Reactome, GSEA, pathway maps • Biomarker discovery & validation: candidate ranking, ROC/AUC, multi-dataset validation • Bioinformatics dashboards & apps: interactive Streamlit / R Shiny dashboards for gene expression and genomic data visualization, Docker-deployed • Manuscript support: publication-ready figures + methods section for your paper or thesis WHY CLIENTS HIRE ME (and re-hire me) I'm a Top Rated bioinformatician with 5+ years turning messy sequencing data into clear, correct, reproducible bioinformatics results. Every project ships with commented R/Python code, high-resolution figures, result tables, and a written biological interpretation you can drop straight into a paper, thesis, or grant. Fast replies, clear communication, no confusion. TOOLS: R, Python, Bash, DESeq2, edgeR, limma, Seurat, clusterProfiler, GEOquery, TCGAbiolinks, Nextflow, Snakemake, Docker, Streamlit, R Shiny, ggplot2, Cytoscape. I WORK WITH: PhD students, postdocs, academic labs, biotech and pharma teams, and startups who need RNA-seq, scRNA-seq, GEO, TCGA, DEG, pathway analysis, biomarker analysis, or a bioinformatics dashboard, without hiring a full-time bioinformatician. 📩 Message me now with your dataset, count matrix, or GEO/TCGA accession ID, or click Invite/Hire, and I'll reply fast with a clear plan, timeline, and price. Let's turn your RNA-seq / GEO / TCGA data into results you can publish.

I am Hadeel Sherif, a highly experienced and skilled Biostatistician and Clinical Research Consultant with a proven track record of success in conducting comprehensive biostatistical analyses for various research studies. I have done the whole statistical analysis of more than 120 projects including 6 MSc theses at reputable European universities and also I have contributed to PhD theses at British universities and a systematic review and meta-analysis published at the Q1 Cornea Journal. The projects included all aspects of biostatistical analysis, from sample size calculations and statistical analysis plan development to data analysis, interpretation, and reporting. Including dozens of statistical analysis methods of parametric and non-parametric hypothesis testing (t-test, ANOVA, MANOVA, MANCOVA, Repeated measures ANOVA, Mann Whitney, Kruskal Wallis, Wilcoxon Signed Rank, ...), Chi square test family (Exact tests: Fisher's and Monte Carlo's, McNemar, ...), Regression analysis (Linear multiple regression, Logistic regression including Binary, Ordinal and Multinomial Logistic regression), Dimension reduction techniques (Factor Analysis and Principle Component Analysis), Survival Analysis, and Propensity Scores Matching, also advanced statistical modeling techniques, including mixed models, GEE models, SEM models and others relevant to complex research questions. Please read the attached published meta-analysis and the testimonials from my previous clients. My Services include: Sample Size Calculations: Accurately determine appropriate sample sizes for your studies, ensuring research has the power to detect meaningful results.(G-power, Epi-Info, Med-Calc, and NCSS-PASS) Statistical Analysis Plan (SAP) Development: Precisely craft comprehensive SAPs outlining statistical methods and procedures, ensuring research integrity and validity. Data Analysis: Expertly analyze data using various statistical software packages (R, IBM-SPSS, Stata, and JMP). Data Interpretation and Reporting: Effectively interpret study results, draw meaningful conclusions, and present them clearly and concisely in tables, graphs, and narratives. R Scripting: Provide well-documented R scripts detailing statistical analyses performed on data, ensuring transparency and reproducibility. Statistical Modeling: Utilize advanced techniques like mixed models and GEE models to tackle complex research questions and assess the impact of various factors. My Qualifications: Diploma in Biomedical Informatics and Medical Statistics, Medical Research Institute, Alexandria University, Egypt (GPA 3.66) MSc in Informatics, School of Information Technology and Computer Science - Nile University - Egypt - 2024 – and ongoing Certified Biostatistician Diploma Candidate, MARS-Medical Agency for Research and Statistics-UK Data Management in R Course Completion with Top Achiever Badge, MARS-Medical Agency for Research and Statistics-UK Meta-analysis methodology (Fast Publication Track), MARS-Medical Agency for Research and Statistics-UK Extensive experience in biostatistical analysis for diverse research projects (systematic reviews, meta-analyses, clinical trials) Published Meta-Analysis: See my publication in Cornea Journal: "Systematic Review and Meta-Analysis of the Medium-Term Efficacy of Corneal Collagen Crosslinking for Keratoconus" (Impact Factor: 2.215). R Markdown Expertise: Access my R markdown file for the Data Management in R course project, showcasing my proficient R programming skills. Satisfied Clients: Read testimonials from previous clients who commend my expertise, communication skills, and ability to deliver high-quality results. Teaching experience in Biostatistics, Clinical Pharmacokinetics, Critical Appraisal of Medical Literature, Drug Information Resources, Pharmacoeconomics, and Epidemiology. Additional Skills: Statistical reviewing of manuscripts My Commitment: I am committed to providing high-quality biostatistical services that meet the highest standards of rigor and accuracy. I am passionate about research and dedicated to helping researchers achieve their goals through sound biostatistical analysis.