Hire the Best Time Series Analysis Freelancers
in Egypt

"Excellent statistician with a smart brain and skills to explain things easily - highly recommended." Client feedback for the job "Wilcoxon test in R". "Mohsen is a professional freelancer with great communication skills, working with him was an absolute pleasure.. Highly recommended" Client feedback for the job "Customer attrition prediction model". "Mohsen was great to work with, very patient and explained everything very clearly, even if I was a complete beginner and didn't know what to ask. Highly recommend working with him if you need help with R or any statistical analysis!" Client feedback for the job "Co-occurrences of phrases". Learning or understanding the complex statistical concepts can be as simple as shown in the client feedback above. I have tutored many students in using R/Python/Minitab/Excel for doing many statistical tasks. I have designed several personalized lectures using R/Python/Minitab/Excel for Data Analysis, Data Visualization, Machine Learning, Statistical tests, Six Sigma projects, SPC charts, Spatial data analysis, and even microbiome data analysis. Then, through screen sharing, I have explained these lectures line by line. In addition, I gave many examples during these lectures to help my learners grasp these concepts easily and fully. I am the author of several books on Amazon focused on using R for healthcare, marketing, data analytics, microbiome, and statistics. I have also published 2 articles in a high-impact journal. Furthermore, I earned several certificates from top universities (Harvard, Johns Hopkins, Denmark,...) in Statistics, Data Analytics, Machine Learning, Data Visualization, Six Sigma, Microbiome Analysis using R, and R Shiny apps. Furthermore, I am a Pharmacist with a Master’s Degree in Microbiology and a Diploma in Industrial Pharmacy. Some examples of previous work: ​+ Estimating geographical pay differences between different cities using the LASSO regression model and presenting results in a Shiny app. + Estimating gender difference in annual pay using a linear regression model and presenting results in a Shiny app. + Predicting defense style questionnaire (DSQ) columns using linear, PCA, LASSO regression, decision trees, and Random forests. + Predicting Kinase inhibitor resistance for cancer treatment using different models, such as random forest, XGBoost, SVM, and stacked models. + Using Item Response Theory (IRT), Bayesian statistics, and Bayesian Knowledge Tracing to track student mastery of skills over time. + Graphically representing species distribution and richness from species distribution models. + Develop mixed models for long-term weight loss after bariatric surgery. + Preparing R and Python tutorials according to client needs. + Develop network meta-analysis using 2 R packages, netmeta and gemtc. + Prediction of active labor using Poisson and Logistic regression. + Predicting housing defaults using generalized linear models (GLMs). + Microbiome data analysis of 16S rRNA sequences for 64 samples from a diet experiment with mice. + Data analysis and presentation for sports performance. + Different Spatial data analysis, including geographically weighted regression (GWR) with support for mapping. + Different SPC charts. + Text and Sentiment Analysis.

⭐CertifiedMachineLearningEngineer⭐KaggleExpert⭐DataCleaning⭐DataAnalysis⭐DataScrapping⭐DataManipulation⭐DataVisualization⭐DataModeling⭐NLP⭐ChatGPT⭐LangChain⭐Deep Learning⭐ I possess a deep understanding of data pre-processing, visualization, and extraction, having worked with tools such as Python, R, pandas, data frames, Microsoft PowerBI, RESTfull API, SQL, Azure Data Factory, Azure Synapse, Postgres, MySQL, and MongoDB. I am also proficient in managing AWS/ES2/S3 infrastructure. I have extensive experience in various areas of data science, such as Natural Language Processing, Regression and Prediction Models, Database Management, Time Series Analysis, Fraud and Anomaly Detection, Recommendation Systems, and Computer Vision. My projects have consistently demonstrated my ability to turn complex data into insights that drive business value. 🌟My skills:-🌟 🎓 Programming (Python, Java). 🎓 Machine learning. 🎓 Data Analysis (Excel, Numpy, Pandas, DAX). 🎓 Data Visualization (Matplotlib, Seaborn, Plotly). 🎓 Deep Learning (CNN, NLP). 🎓MLOps, Docker. 🎓 BigData (PySpark, Hadoop). 🎓 Tools (Sklearn, Keras, Tensorflow, PyTorch). 🎓 Cloud (Azure, GCP, AWS). 🎓 Web Scrapping. 🎓 Linear algebra, Probability, Statistics. 🎓 Problem Solving and Algorithms. 🎓 Software Engineering (SDLC, STLC). 🎓 Agile Software Development. 🎓 Linux Admin. 🎓 MYSQL, PostgreSQL, MongoDB. 🎓 Workflow (Trello, Slack). 🎓 Web (HTML, CSS, Bootstrap, Flask). 🎓 Version control (Git, Github). 🎓 Dashboards (Tableau, Power Bi, Dash). 🌟 WHY CHOOSE ME OVER OTHER FREELANCERS? 🌟 ✅ Over-Delivering: This is core to my work as a Freelancer. My focus is on GIVING more than what I expect to RECEIVE. I take pride in leaving all of my clients saying "WOW" ✅ Responsiveness: Being extremely responsive and keeping all lines of communication readily open with my clients. ✅ Resilience: Reach out to any of my current or former clients and ask them about my Resilience. Any issue that my clients face, I attack them and find a SOLUTION. ✅ Kindness: One of the biggest aspects of my life that I implement in every facet. Treating everyone with respect, understanding all situations, and genuinely wanting to IMPROVE my client's situations.

Hi, I’m Omar — a Master’s student in Econometrics with a Bachelor's degree in Economics. I specialize in building robust, theory-driven econometric models and providing insightful economic interpretations backed by academic standards. With hands-on experience using EViews, Excel, and advanced econometric techniques, I help clients design and refine models such as: OLS Regression VAR and SVAR Models ARMA/ARIMA Time Series Models ARCH/GARCH Volatility Models DSGE Models My services go beyond data and modeling. I provide: ✅ Literature reviews rooted in academic sources ✅ Economic interpretation that aligns with real-world theory and policy ✅ Research paper evaluation tailored to publication standards for Q1–Q4 journals ✅ Assistance with methodology and structure in academic research papers ✅ Clear, well-written analysis in fluent academic English I’ve completed advanced training in both econometric techniques and academic research writing, and I use premium tools such as: ChatGPT Premium Grammarly Premium Quillbot Premium Access to Clarivate, Scopus, and ResearchRabbit databases If you're a researcher, student, or economist looking to elevate your paper, thesis, or model — I’d love to help. Let’s collaborate and produce high-quality, publication-ready work.

Are you looking for a freelance data analyst with over two years of experience in data analysis and interpretation? I specialize in transforming raw data into actionable insights and recommendations, consistently exceeding client expectations. My expertise in Python, R, and Excel ensures top-notch results. Let's unlock your data's potential together! 💡My Key Skills: 🔹Charts, Dashboards Development & Deep Visual Analysis 🔹Statistical Analysis and reports 🔹Data Preparation: Cleaning & Transformations 📊 Kit-tool: 🔹Microsoft Power BI 🔹Excel 🔹Jupyter Notebook 🔹Google Sheets 🖥️ My Languages of Domain: 🔹Python for Data Scrapping, Data Extraction/Treatment/Analysis/Visualization (Pandas, Numpy, ScikitLearn, Beautiful Soup, Matplotlib, etc...) 🔹R programming I am looking forward to hearing from you. Best regards, Youssef Lafy.

🌍 Climate Data Scientist | Meteorologist | Climatologist "Turning Climate Data into Actionable Insights" As a Data Scientist with a Master's in Meteorology and Climatology, I specialize in obtaining and transforming complex climate data into meaningful insights for businesses, researchers, and environmental stakeholders. My expertise includes: 📊 Advance Modeling & Machine Learning: Building predictive models tailored to climate and environmental data. 🌐 GIS and Geospatial Analysis: Skilled in tools like QGIS and handling NetCDF, CSV, geojson and other data formats. 🌧️ Climate Risk & Environmental Assessments: Expertise in flood prediction, wildfire risk modeling, and climate risk analysis. With a track record of delivering high-impact projects, I offer data-driven solutions to help clients make informed decisions based on climate and environmental data. Whether you need predictive modeling, geospatial analysis, or a climate risk assessment, I’m here to help. Let’s collaborate to transform your climate data into actionable insights.

I’m a data scientist and machine learning engineer with a strong foundation in statistics, computer science, and applied mathematics. I specialize in crafting simple, effective, and explainable solutions to real-world problems. I always choose the simplest statistical tool that works before reaching for more complex machine learning models for efficiency and robustness. My Expertise Includes: • Statistical Modeling: Linear & Logistic Regression, Bootstrapping, PCA, GLMs, Mixture Models, Markov & Hidden Markov Models, Generalized Additive Models, Causal Inference. • Machine Learning: SVMs, Decision Trees, Random Forests, Gradient Boosted Trees (XGBoost, CatBoost), Clustering (KMeans, HCA), Explainable ML with LIME. • Deep Learning: Model development in PyTorch (for NLP, time series, and image tasks). • Natural Language Processing (NLP): Transformers, RAG pipelines, Sentiment Analysis, LLM integration using LlamaIndex & LLMWare. • Time Series Forecasting: ARIMA, Exponential Smoothing, Prophet, GAMs. • Web Scraping: Automated scraping using Selenium, BeautifulSoup, Scrapy. • Production-ready Deployment: REST API development with Flask or Django; Dockerizing ML models. • Programming Languages: Python, R, Java, C++, Kotlin, SQL. • Tech Stack: Git, Docker, Azure, Streamlit, LaTeX, Jupyter, Quarto. Why Clients Choose Me: • Rigorous Thinking: Strong foundation in statistical theory and algorithm design. • Pragmatic Approach: I don’t over-engineer solutions—your time and budget matter. • Transparent Communication: You’ll always know what I’m doing and why. • Code You Can Trust: Clean, modular, well-documented, and ready for production. Let’s discuss how I can help bring clarity and efficiency to your data-driven problems, whether it's building a forecast, deploying an ML model, or turning messy data into clear insights.