I am experienced researcher with 40+ international publication, excelling in biomedical statistics, helping healthcare professionals and researchers unlock insights from data. I have extensive expertience using Stata, SPSS, SAS and R for data analysis and excel in descriptive and analytical statistics, regression modeling, meta-analysis, and trend analysis. I do secondary data analysis, transforming complex datasets into clearly presentable findings for clinical trials, epidemiological studies, and patient outcomes research. Let’s collaborate to design studies, analyze data, and generate impactful reports. Together, we can uncover the potential hidden in your data.

🏆TOP RATED DATA ANALYST I help researchers, businesses, and organizations transform raw data into actionable insights through statistical analysis, automation, predictive modeling, and research reporting. I provide end-to-end support throughout the analytics lifecycle — from data collection and cleaning to advanced analysis, visualization, and final reporting. With extensive experience in data analysis, I specialize in working with market research, financial, economic, medical, and various other types of datasets using advanced data analytics softwares such as Python, R, SPSS, Stata, Power BI, Excel, and EViews etc. Moreover, I can also build AI agents as well as develop softwares/applications to help you boost your profits and meet your business needs. Whether it's optimizing processes, automating data workflows, managing ETL pipeline, making data-driven decisions, designing interactive dashboards, generating market forecasts, performing risk analysis, or enhancing customer segmentation etc., I am here to provide solutions that drive success.

Currently working as data analyst in Seatchatlas and Statbid. With a strong academic foundation and extensive professional experience in business intelligence, data visualization, and statistical modeling, I am confident in my ability to contribute effectively to any organization. After earning my degree in Finance, where I gained a solid grounding in Finance, Statistics, Macroeconomics, and Marketing, I pursued a Master's in Business Informatics. Most recently, I completed an MSc in Complex Systems and Networks, where I extensively used R to graphically represent statistical models and complex networks. These academic pursuits have honed my analytical and technical skills, while fostering a deep appreciation for the interplay between Computer Science and Economic Sciences. Currently, I am advancing my expertise through a PhD program, focusing on the application of machine learning and network science techniques in financial and economic systems. My research involves the development of predictive models and causal inference frameworks, using large-scale data analysis to address complex, real-world challenges in financial markets and organizational behavior. This experience has deepened my proficiency in quantitative methodologies, reinforced my ability to handle interdisciplinary projects, and enhanced my problem-solving approach when working with intricate datasets. In my professional experience as a Business Intelligence Analyst, I specialize in transforming complex datasets into actionable insights. My work involves leveraging tools such as R/Shiny, Tableau, Qlik Sense, and Microsoft Power BI to deliver data-driven solutions that align with business objectives. Additionally, I have collaborated with various firms on freelance projects, further refining my expertise in data visualization and statistical modeling. As an author for R-exercises, I have published tutorials and exercises on R packages like shiny, ggplot2, ggvis, and Rmarkdown, as well as machine learning methodologies. Through these contributions, I have demonstrated my ability to break down complex concepts into accessible and practical solutions, benefiting both professionals and learners in the field. My diverse academic and professional background has equipped me with a unique perspective, blending precision, creativity, and technical expertise. I am passionate about solving complex problems, uncovering actionable insights, and driving data-informed decision-making. I am excited about the possibility of contributing to impactful projects and would be delighted to discuss how my background aligns with organizational needs. Attached you can find URLs of some of my Shiny projects. There are only parts of them that I had clients' permission to deploy and use as a portfolio.

✅ 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)

Having studied Engineering and Economics/Statistics, I have a good grasp of theoretical concepts in Statistics, Economics, Econometrics, Finance, Math, & Programming. I had worked with EY for the last 5 years and gathered significant working knowledge in those areas. I have been working in R, Python, R Shiny for the last 7+ years. I have developed dozens of web applications using R shiny. I am quite well versed in SQL, PowerBI, and Tableau. I have expertise in Credit risk modeling: Regulatory modeling such as IFRS9, Basel, stresstest, IRB models, PD, LGD, EAD, CCF models. I have extensive experience in business risk modeling such as scorecards, behavioural modelings for accepts/rejects/strategy decision making. I have experience in climate risk modeling, Operational risk modeling and stress testing as well. My keen interest in solving business problems from data using advanced analytics and machine learning techniques has been my core competency. I have worked on both supervised and unsupervised machine learning using R, Python, and SQL. Having taken part in various hackathons, I have improved my technical knowledge of modelling, feature engineering, building production pipeline etc. I have also worked on deep learning specifically with image data. Being from a consulting industry, I value my client a lot and try to communicate as frequently as possible to deliver top quality work.

Looking to elevate your data analysis, predictive modeling, or data visualization? Need clean, accurate, and comprehensive reports to drive better decisions? You’re in the right place! With 4+ years of experience, you'll get clear insights by employing R, Python, SQL, Excel, Power BI, Tableau, and more to draw conclusions, predictions, and decisions. I deliver data-driven solutions to meet your specific needs! 📊 Examples of My Best Work: 🔹 Predictive Modeling – Built Machine Learning & Deep Learning models (Python, R) for forecasting, classification, and risk assessment. 🔹 Statistical Analysis & Actuarial Modeling – Delivered regression, ANOVA, time series, and survival analysis (R, STATA, SPSS, SAS). 🔹 Data Visualization – Designed stunning dashboards (Power BI, Tableau, ggplot2) for compelling data storytelling. 🔹 Data Wrangling – Cleaned and transformed big datasets (SQL, tidyverse) to drive informed strategies 🔹 Financial Analytics – Crafted actuarial valuation reports and portfolio analytics (Excel, R, LaTeX) for optimized decisions. 🔹 Business Intelligence – Data mining and analytics expertise with SQL, Power BI, and Tableau, applied to healthcare, travel, and real estate industries. 🔹 Report Writing – Generated reports with Quarto, R Markdown, and LaTeX. 📂 Check out my portfolio to see how I’ve helped clients and businesses make data-backed decisions that drive growth and efficiency! ⭐ What I Bring to Your Project ✅ Proven Data Analytics & AI Expertise – Predictive analytics and model optimization (Python, R) to boost outcomes. ✅ End-to-End Solutions – From data cleaning and transformation to statistical modeling and visualization, I’ve got you covered. ✅ Business-Driven Insights – I don’t just analyze data; I provide implementable recommendations that impact your bottom line. ✅ Custom Visuals & Reports – Clear, tailored dashboards (Power BI, Tableau, R) and automated reports (LaTeX, Rmd) for fast decisions. ✅ Detail-Oriented & Results-Driven – I ensure that every project is handled with precision, accuracy, and efficiency. ✅ Seamless Project Updates: You’ll stay informed with consistent, timely communication. ✅ Someone who cares about helping you succeed and bringing value to your business. 🔥 Why You Should Choose Me Over Other Freelancers ✔️ Lightning-Fast Communication: Always responsive, keeping you in the loop 24/7. ✔️ Exceeding Expectations: I strive to deliver value beyond what is expected, prioritizing your satisfaction. ✔️ Technical & Analytical Excellence: My expertise spans actuarial science, data analytics, statistics, and business intelligence, giving you a well-rounded expert on your team. ✔️ Client-First Focus: I dig deep to understand your goals and deliver value you can trust. ✔️ Problem-Solving Grit: I tackle challenges head-on with creative, data-backed solutions. ✔️ Genuine Care: I’m here to elevate your business with empathy and dedication. 🏆 Reviews and feedback from high-profile clients ⭐⭐⭐⭐⭐ "Great job! Will definitely use again. 10/10" 🌟 Additional Expertise to Explore Beyond the highlights, I also shine in: ➡️ Market & Crypto Analytics – Econometric modeling, quantitative analysis and forecasting for trends and risk (quantmod, PortfolioAnalytics, RStudio, yfinance, SAS). ➡️ Public Policy Impact – Health, safety, and economic data analysis for smarter strategies. ➡️ Data Storytelling – Exploratory data analysis and survey insights (SPSS, STATA, tidyverse, pandas, matplotlib, seaborn). ➡️ Report Magic – Dynamic PDFs, document conversion, and formatting (Overleaf, Markdown) for polished delivery. ➡️ Tool Mastery – SQL, Spreadsheets(Microsoft Excel & Google Sheets), Tableau, SAS, and RStudio to handle any data challenge. 📩 Call to Action Ready to unlock your data’s full potential? Let’s collaborate on analytics, predictive models, or BI dashboards that drive real results. Message me now, and let’s bring your vision to life!

Biostatistician (MSc), equipped with the relevant statistical skills and knowledge. Scope of work. • Study design: sample size estimation and power analysis, proposal writing, statistical analysis plans. • Biostatistics consulting • Health/ medical data analysis: survival analysis, causal inference, longitudinal data analysis, meta-analysis, and network meta-analysis. Pharmacokinetic analysis ( Compartmental, Non-compartmental analysis, bioequivalence) • R and R studio (Posit), STATA, and SAS.

I am a highly skilled Data Scientist, specializing in statistical analysis, geospatial analysis, and sophisticated data management techniques. My proficiency in R and Python, coupled with a strong foundation in ecological and environmental analysis (QGIS), enables me to deliver precise, data-driven insights and solutions. Overview: 1️⃣Statistical Analysis & Modeling: Proficient in statistical methodologies, hypothesis testing, regression analysis, and predictive modeling to derive actionable insights from data. 2️⃣R Programming: Expert in data manipulation, statistical analysis, and visualization using R, including packages such as ggplot2, dplyr, and tidyr. 3️⃣Python Programming: Advanced skills in Python for data analysis, machine learning, and automation with libraries like pandas, NumPy, scikit-learn, and matplotlib. 4️⃣Geospatial Analysis: Skilled in GIS software and spatial data analysis, proficient in handling geospatial data, creating maps, and performing spatial statistical analysis. 5️⃣Ecological & Environmental Analysis: Proficient in analyzing ecological and environmental data, conducting impact assessments, and providing actionable insights for conservation and sustainability projects. 6️⃣Data Query & Management: Experienced in SQL for data querying and database management. Strong ability to handle large datasets and ensure data integrity and performance optimization. Key Highlights: ⭐️ Available 7 days a week ⭐️ Fluent in English ⭐️ Fast response time ⭐️ Give updates daily ⭐️ Long-term project support Skills: ✅ Statistical analysis and modeling (R, Python) ✅ Geospatial analysis (QGIS, R) ✅ Data query (SQL) ✅ Data Cleaning ✅ Data Mining ✅ Data Scraping ✅ NLP (R, Python) ✅ Data Extraction (from websites, PDFs, etc.) ✅ Database Connection (SQL, Google Sheets,) ✅ Data Collection & Web Research

⭐⭐⭐⭐⭐I am a geneticist and bioinformatics researcher with over 12 years at the National Institute of Oceanography and Fisheries (NIOF), Egypt, currently completing a PhD in genetics and genetic engineering. My work spans wet-lab genetics and end-to-end computational analysis, with a strong focus on reproducible pipelines, scientific rigor, and clear reporting. 🧬On the bioinformatics side, I design and run complete RNA-seq workflows (quality control → alignment → differential expression with DESeq2/edgeR/NOISeq), shotgun metagenomics pipelines (Kraken2, Bracken, HUMAnN, MetaPhlAn), 16S rRNA amplicon analysis (QIIME2, DADA2), and meta-analysis across public datasets. I work fluently in R and Bash/Linux, and I am experienced with HPC environments (SLURM). 🧬Beyond analysis, I write, edit, and proofread scientific manuscripts targeting Q1 journals, conduct structured literature reviews, and support AI training data curation projects. I bring both the scientific depth and the communication skills to take a project from raw data to a publication-ready result. 📌📌Core skills RNA-seq / DESeq2 Shotgun metagenomics QIIME2 / DADA2 Kraken2 / Bracken R (DESeq2, edgeR) HPC / SLURM Scientific writing Literature review Manuscript editing AI data curation Meta-analysis Genetics / PCR 📌📌What I offer: -Full bioinformatics pipelines -RNA-seq, 16S amplicon, shotgun metagenomics — raw FASTQ to publication-ready figures and tables -R statistical analysis -Differential expression, enrichment (GO/KEGG), meta-analysis, heatmaps, volcano plots, Venn diagrams -Scientific writing & editing -Manuscript drafting, revision, proofreading, and journal resubmission support for Q1 target journals -AI data curation -Scientific dataset annotation, labeling, and quality review for AI/ML training pipelines

Bioengineer and former Founding R&D Engineer at BioCompute Inc., with ~4 years of experience across startups and international research labs in computational biology, bioinformatics, and genomic data analysis. Named inventor on a US patent filing. I build computational pipelines and analytical systems for biological data: NGS, WGS, long-read sequencing, and high-dimensional experimental outputs. My work combines bioinformatics, statistical modeling, signal processing, and machine learning to extract interpretable patterns from complex biological systems, often within larger pipelines that integrate APIs, containerized environments, and multiple software components. My experience spans genome assembly, variant analysis, methylation detection, structural bioinformatics, raw signal analysis from Oxford Nanopore platforms, and physiological signal analysis. Because I work across both experimental genomics and computational analysis, I can quickly diagnose issues at the interface between sequencing workflows and downstream data interpretation. I also take on biostatistics consulting work including experimental design, hypothesis testing, and grant-level analytical support. At BioCompute, I built a sequencing-based proof-of-concept system integrating native DNA workflows with a custom bioinformatics decoding pipeline developed from scratch, validated on real sequencing runs and contributing to a US patent filing where I am a named inventor. I also delivered genome assembly, methylation analysis, and structured analytical reporting to external customers. What I work with: - Next-generation sequencing (short- and long-read, WGS) - Oxford Nanopore (MinION Mk1B/Mk1D, PromethION; wet lab + analysis) - Genome assembly and annotation (bacterial and small genomes) - Variant analysis and mutation interpretation - Structural bioinformatics (AlphaFold, DSSP, molecular docking) - Modified-base and methylation analysis (pysam, modkit, SAMtools) - Time series and signal processing (FFT, ML-based approaches) - Physiological and biosignal data analysis - Biological image analysis (cell segmentation, microscopy, CV quantification) - Statistical modeling and biostatistics (regression, hypothesis testing, experimental data interpretation) - Lab automation (Opentrons-style JSON protocol systems) - Python bioinformatics pipelines (Linux, Bash) - Containerized and reproducible workflows (Docker, Snakemake) - API-driven data pipelines and backend integrations Tools and technologies: - Python scientific stack (NumPy, SciPy, Pandas, scikit-learn) - Deep learning (PyTorch, TensorFlow) - Image/video analysis (OpenCV, scikit-image) - Docker, Snakemake - Linux, Bash, REST APIs, JSON-based services Wet lab and experimental consulting: Experimental design for sequencing-based studies. Troubleshooting PCR, cloning, library prep, and sequencing workflows. Guidance on protein expression and molecular cloning workflows. Connecting wet lab outputs with downstream computational analysis. Genomics research and analytical consulting: Technical and market research on genomics and sequencing technologies. Variant impact assessment and interpretation workflows. Literature analysis and publication mapping. Translating computational outputs into structured reports and slide decks for both technical and non-technical stakeholders. What you get: - Reproducible, well-documented bioinformatics workflows - Systems-level thinking across wet lab and computational layers - Clear outputs with strong attention to data integrity - Fast turnaround If you're working with sequencing data, complex biological signals, clinical or experimental datasets, or need grant-level analytical support, let's talk.