Your data is accurate, but the reporting takes too long, and nobody's turned it into a model you can actually act on. I combine Mathematics, Industrial Engineering, and Data Science to build financial models and dashboards that eliminate manual reporting lag and reduce decision risk. What I Deliver: - Financial models that predict demand and quantify risk - Power BI & Tableau dashboards that replace manual reporting overnight - Statistical models (regression, time-series, forecasting) built in Python, R, and SQL - Time-series forecasting and demand prediction models - Clean, decision-ready deliverables, not raw data dumps Recent Results: - Automotive Power BI dashboard: eliminated a 48-hour manual reporting lag overnight - Bank credit risk model in R: panel regression, R² of 0.91 - Retail sales dashboards (SQL, Tableau, Power BI): +15% sales growth, -20% stockouts - 99-stock portfolio analysis: logistic regression, risk-adjusted, benchmarked vs Nasdaq - Macro analysis across 6 economies in R: inflation, GDP, and unemployment mapped as heatmaps and time-series dashboards Toolkit: - Python & R for modeling and automation - SQL for data extraction and structuring - Power BI & Tableau for dashboards - Advanced Excel for financial modeling - Statistical & quantitative analysis, forecasting How I Work: - Diagnose the actual bottleneck before building anything - Deliver one clean, decision-ready output — not a dump of charts - Communicate clearly and hit deadlines, every time Best Fit For: - Operations teams drowning in manual reports - Business owners with data but no clear read on it - Fintech and finance teams needing risk or forecasting models - Teams tired of reports that don't answer the real question I don't just find what's broken. I find why, then build the system that fixes it permanently. Send me a note about where your data or process is breaking down. I'll take it from there.

More then 10 years of academic and industry experience as research data scientist and data analyst with proven machine learning skills I can deliver high-quality work with precision and expertise. Experienced in following ✅ Data Analysis (process data, prepare data, analyse data , present insights ) Python | Excel | R | Tableau | Power Bi | Google sheets ✅ SQL Proficient in crafting complex queries for data extraction, transformation, and analysis. BigQuery ✅ Python & R programming Employing these languages for data cleansing, modeling, and machine learning. ✅ Data visualisation (Tableau, Python matplotlib, seaborn, plotly, Dash, R ggplot, Gephi, Cytoscape) ✅ Presentation and Reports (R and Python Notebooks, Report writing, slides presentations) ✅ Machine Learning (classification, clustering, regression analysis and reinforcement learning) ✅ Social Network Analysis (Node classifications, Community detections, Centrality Measures, Information diffusion ) With extensive experience in regression, classification, clustering, deep learning, and graph embedding techniques, I have the skills to turn your data into valuable insights. As a freelance data analyst, I have successfully completed various projects related to machine learning and social media analytics. As a highly motivated and results-driven individual, I thrive in fast-paced environments and can work independently or as part of a team. I am committed to delivering high-quality work on time and within budget. If you're looking for a skilled and experienced Machine Learning Engineer and Data Analyst, don't hesitate to contact me. I would be delighted to discuss your project and help you achieve your goals.

✅ 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’m a PhD in Biology focused on long-term ecological datasets (20+ years). I specialize in statistical analysis using R, including generalized linear models, data visualization, and working with large, complex, and unbalanced datasets. I'm also proficient in Excel, using dynamic tables, formulas, and creating insightful charts to summarize and communicate patterns and trends clearly. As a video editor, I have years of experience working with programs such as Adobe Premiere Pro, Sony Vegas, AVS Video Editor, and CapCut. I specialize in editing interviews, short nature documentaries, and creative visual content. I’m comfortable with storytelling, voice-over syncing, and designing short-form videos for platforms like YouTube and Instagram. I also have experience in adapting English content into Spanish, including voice-over and subtitle work for commercial movies. I'm also a writer and university teacher, with experience in science communication, scriptwriting, and academic teaching.

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.

I am a Data analyst, Statistician, Research Associate with expertise in Power Bi,SQL,Python,SPSS, R Software, STATA and Excel tools.I have more than 5 years experience in the following: -Data analysis -Data mining -Data visualisation -Data extraction -Semantic analysis -Sql related work -Report writing -Research work -Copywriting/Content writing Additional Skills. -Keyword Research. -Google ads specialist. -Google tag. -Google analytics.

I am a data scientist and analytics leader who translates complex data into actionable insights using machine learning, visualization, and variety of other mathematical modeling methods. I have 10+ years of experience leading projects, advising clients (including government sponsors), and delivering high-impact results. I am skilled in everything from problem definition and client advising to advanced modeling and visualization. I am highly proficient in R (Shiny, tidyverse), Python (Pandas), SQL, and Tableau. My Expertise: - Machine Learning & AI - Data Visualization & Dashboards - Statistical Analysis - Health Data (EHR, Claims, RWE) - Client Advising & Project Strategy I hold a Master of Science in Analytics from Georgia Tech and a BSE from Princeton University. I am ready to help you tackle your toughest data problems. For more information, see my consulting business website (datafitz.com), linked under my portfolio.

I help clients transform data to insight using statistics, machine learning and data visualization. I assist individuals, academics, start-ups, and SMEs across a variety of industries and disciplines. Additionally, I develop web applications using Django framework. I also create websites using WordPress CMS. I help clients with any stage of the process of transforming raw data to insight: ✅ Pre-analysis data preparation and cleaning ✅ Data exploration with visualization and descriptive statistics ✅ Inferential statistics, such as hypothesis testing (t-test, ANOVA, ...) ✅ Statistical modelling (linear, logistic, ridge, lasso regression...) ✅ Machine learning modelling (k-nearest neighbors, decision trees, gradient-boosted trees...) ➡️ Including variable engineering and selection, model building, model validation, model monitoring, and model explainability (for example SHAP values) ✅ Visualization of analysis results and insights with graphs and dashboards ✅ Report writing – summarizing analysis results and insights, editing existing reports or manuscripts, or explaining how the analysis was carried out Tools: 🧰 R and Python for data preparation, statistics, and machine learning. Also Excel if you prefer. 📊 R/ggplot2/Shiny, Python/Matplotlib/Dash for data visualization, or Excel if preferred. 📃 Word, LaTeX or R/Jupyter notebooks for report writing depending on your preference. Professional Expertise: 💻 Over 4 years of professional data science experience across academia, and as a freelancer Want to know how I can help you? Please get in touch. I look forward to hearing from you.

I am Statistician & Biostatistician with 8 years of experience in Statistical Data Analysis. I have helped clinical researchers, PhD and MSc researchers, DNP project, and business owners. My expertise includes working with datasets from surveys, clinical studies, and public databases like NHANES, CDC, DHS, and IPUMS. My Services: - Linear, Logistic, and Multinomial Regression Analysis - Repeated Measures ANOVA and Mixed Effects Models - Survival Analysis (Cox PH, Kaplan-Meier) - Survey Data Analysis (SurveyMonkey) - Structural Equation Modeling (SEM) and Confirmatory Factor Analysis (CFA) - Longitudinal Data Analysis and Multilevel Modeling - Latent Class Analysis using R or STATA - Power Analysis and Sample Size Calculation - Missing Data Imputation (MICE) Software Proficiency: - R (RStudio, tidyverse, ggplot2) - IBM SPSS, Stata, SAS - Python (Jupyter, scikit-learn) - Excel With a Master's degree in Statistics, specializing in Biostatistics, and over 8 years of experience, I have completed more than 200 projects on Upwork, achieving a 96% job success score and an average rating of 4.8. My analyses have contributed to successful journal publications, DNP projects, and strategic business decisions. Ready to start? Send me your dataset or a brief description of your project. Thank you, Daniel

I help research labs, biotech startups, and healthcare teams turn complex biological data into meaningful insights using bioinformatics and machine learning. My work spans RNA-seq, multi-omics integration, and AI-driven biological modeling, from raw data processing to predictive modeling and publication-ready results. Most clients come to me when they: • Have large-scale biological data but need structured analysis • Want to apply machine learning or deep learning to biological problems • Need scalable, reproducible pipelines • Require biologically meaningful interpretation of results Core Bioinformatics Expertise Transcriptomics & NGS Analysis • Bulk RNA-seq (DESeq2 / edgeR / limma) • scRNA-seq (Seurat / Scanpy / Monocle) • Differential expression & biomarker discovery • Functional enrichment & pathway analysis NGS & Data Processing Pipelines • FASTQ → QC → Alignment → Quantification workflows • Variant calling & genomic analysis • Automated, scalable pipeline development • High-throughput data processing Machine Learning & Deep Learning AI for Biology • Deep learning models for biological data • CNNs, RNNs, and Transformer-based architectures • Predictive modeling for genomics & drug discovery • Feature extraction from high-dimensional datasets Advanced Modeling • Graph Neural Networks (GNNs) for biological networks • Gene regulatory network modeling • Multi-omics data integration (genomics, transcriptomics, proteomics) • Explainable AI for biological interpretation Reproducible Research & Engineering • End-to-end R/Python workflows • Clean, well-documented, GitHub-ready code • Publication-quality figures & visualizations • Methods writing and result interpretation support Tools & Stack R • Python • Bioconductor • Seurat • Scanpy PyTorch • TensorFlow • scikit-learn FASTQC • STAR • Salmon • GATK • BLAST Linux • AWS / GCP What You Can Expect • Clear communication and realistic timelines • Scientifically rigorous and reliable analysis • Scalable and reproducible solutions • Insights that connect data to biology