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🏆 EXPERT-VETTED TOP 1% ON UPWORK |⭐ 5-Star Ratings | Data Analytics and Predictive Modeling|💎MASTER/PHD THESIS Help |✅Statistics, Panel Data, Time series Econometrics |✅ R, PYTHON, SAS, Tableau, Power BI | ✅Data Science, Machine Learning Models | ✅STATA Master, Large Survey Data and Regression Analysis, Economic Policy Evaluation, Predictive Financial Modeling | 🏆PhD and 20 years of experience. ABOUT ME: 🏆 EXPERT-VETTED and TOP RATED PLUS status (TOP 1% on UPWORK) 🥇20 years of working experience with large corporations and institutions (Amazon, the World Bank, International Financial Corporation, University of Pennsylvania) 🎓PhD/Professor in Econometrics/Statistics/Data Science 💎Provide effective help for MASTER/PHD THESIS With proven tracked records of success in Upwork (Expert Vetted Top 1% and Top Rated Plus), overwhelmingly positive feedback with 5* ratings, my PhD and 20 years of experience, I can definitely help you bring out the highest quality, great results for your project and achieve your business goals. I have over 20 years of experience in empirical research, statistical analysis, econometric modeling, data science, machine learning models, data analysis (panel data analysis and time series analysis, complex survey design and analysis), data visualization, storytelling, and project management. I enjoy creating dashboards of data analytics to provide data insights, data trend, meaningful graphs, statistical analysis, story-telling summary that serves as key benchmark to influence business decision. Moreover, I also provide robust statistical evidence, regression/correlation analysis, machine learning predictive models to provide supportive and significant results for business projects. I also help clients understand different statistical techniques, regression techniques, learn excellent statistical language including STATA, SAS, R, and Python to make your life easier. My previous projects on machine learning and econometric modeling include the followings but not limited to: - Data Analysis, Large Survey Data Analytics and Data Visualization. - Linear regression with panel data and time series data. - Forecasting model for time series analysis - Financial modeling such as stock returns, cryptocurrency price prediction, financial indices and financial performance prediction. - Machine Learning models: Random forest, decision trees, KNN, neural network,... - Logistic models, multinomial logit models, ordered logit models. - Economics research, market research, house price, mortgage default prediction, - Program evaluation using different methods such as difference in difference, propensity score matching, instrument variables, fixed effects, regression discontinuity design. I am happy to share my knowledge on machine learning modeling as well as quantitative and analytical skills to help you succeed in your project. In addition, with my experience in participating and presenting in thousands of academic and industry conferences, supervising and guiding hundreds of college and graduate students in their thesis/dissertation, I am very confident that I can help you make a difference in your project and bring out the highest quality and great results for your Master or PhD's thesis/dissertation project. I can also provide statistical advice and statistical analysis including: - Descriptive Statistics. - Bi-variate analyses such as t-tests, correlations, chi-square tests and non-parametric tests for normal and non-normal data. - Multivariate analyses such as ANOVA, MANOVA, LDA, PCA and factoring analysis, regression analysis (see econometric models above). - Review and interpret statistical output, set up the appropriate hypothesis testing and write up conclusion and policy recommendation. - Tutoring Statistics, Math and Econometric courses: including both introduction and advanced courses. I have experience with different types of data including: - Survey data (household, market research, firm/business/country data, house price, loan performance, accounting, finance, health, labor and income, etc.) - Panel data - Time series data I help clients put together and analyze different types of survey data, panel and time series data, getting the data insights, build data trend and data stories with meaningful graphs and great visualization. With proven tracked records of success in Upwork (Expert Vetted Top 1% and Top rated), overwhelmingly positive feedback with 5* ratings, my PhD and 20 years of experience, I can definitely help you bring out the highest quality, great results for your project and achieve your business goals. Looking forward to working with you soon, Dr. Victoria

Associate Director-level data professional with 10+ years of experience turning complex data into actionable insight across analytics, product operations, and AI-driven solutions. I specialise in end-to-end data workflows — from database architecture and SQL optimisation to interactive dashboards and automated reporting pipelines. My toolkit includes SQL, Power BI, R, R Shiny, and Python, and I hold an MSc in Data Analytics backed by a First Class BSc in Computer Software Engineering. Recent highlights include: ∙ Building R Shiny dashboards to replace legacy manual processes, dramatically reducing turnaround time and human error ∙ Designing and optimising SQL procedures for performance at scale ∙ Delivering analytics solutions aligned to business KPIs in regulated, enterprise environments I bring the rigour of a senior corporate role to every freelance engagement — clear communication, structured delivery, and a genuine focus on outcomes rather than outputs. Whether you need a one-off dashboard, a data pipeline overhaul, or ongoing BI support, I’ll deliver work that’s clean, documented, and built to last.

I am a dedicated and skilled Systematic Review, Meta-analysis, Network Meta-Analysis, Machine Learning including a predictive Model (LSTM, Regression, Logistics GB Algorithm), Time series Modelling, Panel Data Analysis, Econometrics expert with five years of enriching experience in the field of research and data analysis. My journey in the realm of systematic reviews, meta-analyses and machine learning has been marked by a fervent passion for unraveling complex scientific queries and synthesizing extensive volumes of data into meaningful insights. In my dynamic career spanning half a decade, I have delved deep into the intricate world of systematic reviews, meta-analyses and Machine learning. My expertise lies in meticulously designing and conducting comprehensive data analysis and report writing, employing rigorous methodologies to collect, assess, and interpret a plethora of research studies. My goal is to unearth patterns, trends, and discrepancies in existing research, contributing significantly to the advancement of various scientific domains. Over the years, I have spearheaded numerous research projects, where I have demonstrated my prowess in synthesizing diverse data sets. My systematic reviews have not only provided a panoramic view of existing research but have also paved the way for groundbreaking meta-analyses, amalgamating quantitative data from multiple studies to draw statistically robust conclusions. One of my significant accomplishments includes the successful completion of a meta-analysis that elucidated the efficacy of a groundbreaking medical intervention. This analysis, widely cited in academic circles, has played a pivotal role in shaping clinical guidelines and has been instrumental in guiding healthcare professionals worldwide. Methodological Proficiency: My expertise encompasses a wide array of systematic review methodologies, ranging from Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to Cochrane Collaboration standards. I am adept at employing statistical tools and software, ensuring the precision and accuracy of my meta-analytical findings. Additionally, I possess a keen eye for detail, enabling me to critically appraise studies, identify biases, and offer nuanced interpretations. Contributions to the Academic Community: Beyond my individual research endeavors, I am passionate about knowledge dissemination. I have actively contributed to the academic community by publishing my findings in reputable journals, thereby facilitating the exchange of ideas and encouraging further exploration within the scientific community. I have also served as a mentor, guiding aspiring researchers in the nuances of systematic reviews and meta-analyses. Future Endeavors: As I look forward, my aim is to continue my scholarly pursuits, delving into cutting-edge research questions and collaborating with experts from diverse fields. I aspire to further refine and expand my methodological toolkit, exploring innovative approaches that push the boundaries of systematic review and meta-analysis methodologies. In essence, my journey as a Systematic Review and Meta-analysis expert is defined by a relentless pursuit of excellence, a commitment to scientific rigor, and a genuine passion for unraveling the mysteries of the research landscape. I am excited about the limitless possibilities that the future holds and am dedicated to making enduring contributions to the world of academia and scientific inquiry. Some of the research i have done include systematic review and about analysis in medical field, business, management, accounting and agriculture. I have full access to WOS, Scopus, Medline, PubMed and Clinical trial website where i obtained the articles for research purpose.

✅ Top 1% part of Upwork's Expert-Vetted program | NO AGENCY SOLO DEVELOPER 🎖️ 8 years+ of experience in Data Science 🏅 180+ Upwork Projects 💯 Less than 1 Hour Response time My specialty is to take your business problem and find a suitable end to end solution using AI and programming tools from Python, R, JavaScript programming languages. My extensive experience and wide skillset from data acquisition, model training to production grade application or REST API development will save you time and costs (material or psychological i.e. trying to find developers to make MVP, organize and support communication within team). AI Agentic systems are overtaking markets with potential impact on various businesses and creating opportunities to utilize. My skills in AI Agentic system development using Langchain, LangGraph, CrewAI, Autogen, RAG, MCP, Retell.ai, Elevenlabs will give you opportunities to cut costs and optimize your business operations. My skills include machine learning, deep learning, computer vision, web scraping, data engineering, web development, and data visualizations. I can create interactive web applications and dashboards using Python's Dash framework and R's shiny package so you will be able to observe, analyze and present various aspects of your business and other activities in practical ways. My expertise also includes the development of graphical user interface GUIs with Python's Kivy framework. In Computer Vision, my skills include image classification, object detection, and image segmentation with Python tools such as Tensorflow, Keras, CNNs (LeNet, AlexNet, VGG1619, InceptionV3, ResNet50), SSD, YOLO, TFOD, and Mask R-CNN. Importantly, I have skills in math and statistics essential for understanding processes behind code and interpreting outcomes from it. I have done my MBA with a focus on data science. I have been working as an accountant for around five years, including a member of the Big Four and as Data Scientist in a local IT company focused on DS. Thus, I understand finance from theoretical and practical sides and can apply code to analyze vast amounts of financial or other data efficiently. Considering my previous experience, my domain knowledge in finance, marketing (CTR, CLV), process optimization, and other business areas, I will focus on understanding your business goals and implementing solutions to make them come true. My skills include: ✅ Data Science ✅ Machine Learning ✅ Deep Learning ✅ Algorithmic Trading ✅ Generative AI ( Langchain, IIamaIndex, LangGraph, LangSmith, HuggingFace, StableDiffusion, Midjourney, OPEN AI, CHAT GPT4, CHAT GPT3.5, Mistral7B, Gemini, Cursor, Ollama, CrewAI, AutoGen, MCP, Google MCP Toolbox for Databases) ✅ Prompt Engineering (ICO, TESSA, ReAct, Chain of Thought, Map Reduce, Refine) ✅ AI Agents, Inbound & Outbound & Batch Calls, Chatbots, RAG, Conversational Agents, VAPI, Retell.ai, make.com, gohighlevel, n8n, telnyx, twilio ✅ Full Stack Development (React, React Native, Next.js) for AI integration ✅ Interactive Visualizations/Dashboards ✅ Data Engineering (MySQL, MongoDB, PostgreSQL, BigQuery, Oracle, SQLServer, Pinecone, ETL) ✅ Python, R, SQL ✅ Object Oriented Programming (OOP) ✅ PEP-8 (pylint, isort, flake8, autopep, black, docstrings, pydocstyle, mkdocs) ✅ Web development (interactive dashboards Dash) ✅ Bot Development (Telegram) ✅ Graphical User Interfaces (GUI) Kivy ✅ Big Data (Spark) ✅ Recommender Systems ✅ DevOps (ML Deep Learning model deployment on cloud, TDD, AWS, GCP, Azure, Docker, REST API) ✅ OCR ✅ Computer Vision ✅ Audio Processing ✅ Natural Language Processing NLP (Bert, fastText, Langchain) ✅ CNN (LeNet, AlexNet, VGG1619, InceptionV3, ResNet50) ✅ Object Detection (R-CNN, SSD, YOLO, TFOD API) ✅ Image Segmentation (Mask R-CNN) ✅ Transfer Learning ✅ Time Series Analysis (ARIMA, SARIMA, LSTM, PROPHET) ✅ OpenCV ✅ Educational Tutorials ✅ Web Scraping ✅ Web Crawling ✅ API Clients ✅ Keras, Tensorflow, PyTorch ✅ Dash, Shiny, Plotly, Streamlit, React, Next.js ✅ Pandas, Numpy, Scipy, Scrapy, Selenium, requests, ggplot2 ✅ IOT (Raspberry Pi) ✅ REST API (Google Ads, Google Analytics, FB/META API, Stripe, CCXT, OPEAI etc.) ✅ REST API development (Flask, FastAPI)

Top Rates Plus - awarded to the top 3% of Upwork freelancers! Experienced Senior Statistical Programmer with over 8 years of expertise in clinical trials and pharmaceutical research across therapeutic areas including oncology, cardiology, dermatology, gastroenterology, neurology, hematology, Real World Evidence (RWE), peptides and vaccines studies. Strong leadership capabilities in coordinating programming activities and timelines across multiple studies in phases I-IV. Dedicated to maintaining data integrity and supporting efficient clinical trial operations. Proficient in the development of statistical computing environments and serving as a clinical trials subject matter expert (SME) for software development companies supporting clinical research solutions. For a detailed overview of my hands-on responsibilities and real-world contributions, please refer to the Employment section, which outlines how this expertise has been applied across clinical trial development and pharmaceutical research projects. I hold Bachelor of Data Science degree from the American University of Armenia. My educational background, combined with hands-on experience, has equipped me with a robust skill set and a deep understanding of statistical methodologies and programming languages relevant to the clinical trials domain. My technical skills include proficiency in: SAS Programming (Advanced Level Certified, see in the 'Certifications' section): • Advanced SAS/BASE, SAS, SQL, SAS/MACRO, SAS/GRAPH, SAS/STAT, SAS/PROC, ODS output • SAS Viya (cloud version), Integration with R and Python, SAS Visual Analytics • Arrays, Hash Objects, Advanced Indexing, Memory Management • Handling large and complex datasets with efficient I/O and parallel processing techniques • Advanced macro writing, debugging and dynamic code generation, nested and recursive macros • Git/version control tools R Programming: • Clinical packages - pharmaverse, admiral, sdtmoak, tfrmt, gtsummary, PKNCA • Data manipulation and transformation - tidyverse, dplyr, tidyr, purrr, stringr, lubridate, tibble (implicit), readr (implicit) • Data visualization - ggplot2, plotly, gtsummary (dual-purpose), gt, flextable, patchwork, cowplot • High-quality analytical reports - rmarkdown, knitr, quarto • Interactive dashboards and applications using R Shiny Python Programming: • Python core (data types, control flow, functions, modules), NumPy, pandas, SciPy. • Clinical data processing with pandas (joins, reshaping, group summaries, derivations comparable to SDTM/ADaM workflows). • Integration with SAS and R (reading/writing SAS datasets via pyreadstat, interoperability for QC and validation). • Data visualization and reporting (matplotlib, seaborn, Excel/CSV outputs, automated report generation). • Advanced data handling (vectorization, memory optimization, chunked processing, handling large datasets). • Statistical analysis in Python (descriptive statistics, hypothesis testing, regression, survival analysis using lifelines). • Validation and quality control frameworks (independent QC of SAS outputs, data consistency checks, audit-friendly logs). • Unit testing and code quality (pytest, structured logging, reproducible environments). • Metadata and XML processing (Define-XML handling, CDISC metadata validation using xml/lxml). Power BI & Business Intelligence: • Design and development of interactive Power BI dashboards for exploratory and operational analytics • Data modeling using Power BI semantic models, relationships, and star-schema concepts • Data transformation and preparation using Power Query (M language) • KPI development, filters, drill-downs, and slicers for executive-ready reporting • Integration with multiple data sources (CSV, Excel, SQL databases, APIs) • Performance optimization for large datasets (model size, relationships, DAX efficiency) • Secure sharing and collaboration using Power BI Service Project Management: Working with Jira, Scrum, GitHub Microsoft Office tools: Microsoft Word, Excel, PowerPoint, Access, Outlook Driven by a passion for continuous learning and a collaborative spirit, I am known for my easy-going demeanor and my ability to thrive in team environments within the clinical trials field. I approach each project with dedication and attention to detail, consistently delivering results that exceed expectations and contribute to the advancement of clinical research.

Graduate from a top-rated school in Paris in Data Science with a research background in physics. More than 3 years of experience as a data analyst and R shiny developer in different areas (Healthcare, Energy Start-up, Decathlon E-commerce, …). Today, my missions as a freelancer are to automate data analysis, data science & machine learning models through dashboarding with R Shiny. I also help my clients by avoiding the repetitive tasks that take up their time every day (Automatic report generation with R Markdown, …). In parallel, I work on part-time contract as a data analyst & R shiny Developer for Decathlon Belgium. As a data visualization expert, I have a good mastery of highcharts, one of the best charting libraries on JS. I have also mastery of some BI tools, mainly Tableau and Google Data Studio. I am available to discuss your needs. ''' You want to see more about my latest built shiny apps? Please copy/paste in your navbar my portfolio link: ahmedjou.datarmy.com ''''