Hire the Best Time Series Analysis Freelancers
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✨ Upwork Expert-Vetted & 𝐓𝐨𝐩 𝐫𝐚𝐭𝐞𝐝 𝐩𝐥𝐮𝐬 (Top 1%) ✨ 100 % Job Success in large Projects Senior Data Scientist with a combined 6+ years of experience [𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞, 𝐒𝐨𝐜𝐢𝐚𝐥 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲, 𝐓𝐨𝐮𝐫𝐢𝐬𝐦, 𝐅𝐢𝐧𝐭𝐞𝐜𝐡 Industries] I help businesses maximize their growth potential through data-driven solutions and assist Tech teams to build robust ML solutions from real-world Sensors and Time Series data. I specialize in Feature Engineering, Event Detection, and Predictive Modeling, with a strong focus on model reliability and uncertainty estimation. I also deliver clear Technical Reports, Presentations and decision focused documentation that bridge research and product. EXPERTISE - Research | Custom Technical Reports (Text + Figures + Interpretation) | Code/Scientific Documentation. - Data Analytics: Data Cleaning, Exploratory Analysis, and actionable Insight generation. - Designing, Training and Evaluating AI/Machine Learning models. - Collecting, Cleaning and Managing data and databases. - Developing the data and result into a format easily representable to other employees, investors, and other researchers. SKILLSET ✅ Time Series Analysis (Sensors/ Signals, Accelerometer ...) ✅ Biological Signals: Heart and Breathing, Temperature, Muscle activity, Brain activity, Blood Pressure, Oxygen levels and Body Composition. - Trend/ Behavioral Analysis and Profiling. - IoT/Sensor Data Diagnostics - Anomaly Detection - Exploratory Data Analysis - Scoping sessions and Data‑Quality assessments ✅ Python (Pandas–Scikit-learn–Numpy–Scipy, Seaborn–Keras–Pytorch–TensorFlow). ✅ R (ggplot2–dplyr–tidyr –caret–Shiny–Tidyquant). ✅ Machine Learning Algorithms (PCA, K-means, Random Forest, XGboost, Logistic Regression, SVM, etc..). ✅ Deep Learning (Neural Networks, CNN, RNN, ...) also the tools: - SQL/No-SQL: MongoDB, MySQL. - Tableau | Power BI. - MATLAB | R-studio. - Git - C/C++ I'm adaptable, quick, and reliable, with a sharp eye for details and excellent communication skills (6 languages). I'm eager to help you solve any data science challenges you might have. ------------------------------------------------------------------------------------------------------------------------- Testimonials from some of my clients: ✨ "Working with Faten was effortless. She is dependable, while also incredibly collaborative. Her dedication to work and ability to deliver consistently on-time and beyond expectations render her invaluable for any project. I highly recommend Faten to anyone seeking a skilled, reliable and communicative Machine Learning Engineer and or Data Scientist for their next initiative." ✨"Faten is very professional - prompt feedback, clear communication, and easy to work with. Would recommend working with Faten on ANY project!" ✨"It was an absolute pleasure to work with Faten. She is super clear on communication and has a creative curiosity about all projects. She is a brilliant soundboard and fits into the projects, regardless of where she is asked to assist. She always adds value. I will recommend her without reservation"

Hello! I’m Meysam Goodarzi, a Data Scientist with a PhD in Computer Science and an MSc in Economics from Panthéon-Sorbonne. Over the past 8+ years, I’ve worked at the intersection of data science, machine learning, and applied research, helping organizations turn complex data into clear, actionable insights. 🔧 𝗪𝗵𝗮𝘁 𝗜 𝗗𝗼 - 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗔𝗜: Design, train, and deploy predictive models (Python, Scikit-learn, Keras) - 𝗕𝗮𝘆𝗲𝘀𝗶𝗮𝗻 & 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴: Probabilistic inference, forecasting, A/B testing, and decision support - 𝗧𝗶𝗺𝗲-𝗦𝗲𝗿𝗶𝗲𝘀 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: ARIMA, XGBoost, and LSTM for financial and operational predictions - 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Build pipelines (SQL, DBT), validate data, and create dashboards (Streamlit, Flask) - 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 & 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗪𝗿𝗶𝘁𝗶𝗻𝗴: Grant proposals, research deliverables, and scientific publications (IEEE) - 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 & 𝗠𝗲𝗻𝘁𝗼𝗿𝗶𝗻𝗴: Experienced lecturer in algorithms, ML, and data science (Hertie School, Spiced Academy, Masterschool, ReDI School) 💼 𝗪𝗵𝘆 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲 - 𝗖𝗿𝗼𝘀𝘀-𝗗𝗶𝘀𝗰𝗶𝗽𝗹𝗶𝗻𝗮𝗿𝘆 𝗕𝗮𝗰𝗸𝗴𝗿𝗼𝘂𝗻𝗱: I combine deep technical expertise in Computer Science with strong foundations in Economics and Finance. - 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲: From cutting-edge industrial research in Horizon 2020 projects to data consulting at d-fine, I’ve delivered solutions in both academia and industry. - 𝗖𝗹𝗲𝗮𝗿 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻: I excel at bridging the gap between technical depth and stakeholder-friendly insights. If you’re looking for someone who can research, build, and explain data-driven solutions, I’d be happy to collaborate. Let’s talk about how I can bring value to your project. I could provide my services in English, German, and French.

I am a trained Data Scientist and Statistician with over 10 years of experience applying rigorous modeling and quantitative analysis across research, finance, policy, and business environments. My work is grounded in deep methodology, careful inference, and a commitment to practical, reproducible implementation. I specialize in high-complexity environments where standard "out of the box" analytics aren't enough. I focus on the structural integrity of the inference—ensuring that assumptions, variance structures, and data limitations are respected rather than ignored. {################} Core Areas of Expertise {################} 🔹 Statistical Inference & Modeling: Linear and non-linear regression, multilevel/hierarchical models, and variance component estimation. 🔹 Predictive Analytics & ML: Supervised and unsupervised learning, time series forecasting, and causal inference. 🔹 Specialized Methodologies: Small area estimation (SAE), survey design, spatial modeling, and experimental design (A/B testing). 🔹 Financial Econometrics & Trading Analytics: Developing robust backtesting and forward-testing (walk-forward) frameworks, signal-to-noise analysis, and risk-adjusted performance evaluation for algorithmic strategies. 🔹 Quantitative Research: Handling large-scale observational data, bias correction, and complex data cleaning. {##############} My Approach to Collaboration {##############} I believe that high-level statistics should be both rigorous and accessible. Clients value my work because I prioritize: 🔹 Methodological Rigor: Choosing the right model for the data, not just the easiest one. 🔹 Transparency: Clear documentation of assumptions, validation steps (including out-of-sample testing), and confidence intervals. 🔹 Reproducibility: Clean, modular code that serves as a long-term asset for your team. 🔹 Communication: Translating complex mathematical results into actionable insights for decision-makers. If your project requires a thoughtful, PhD-level approach to data—whether in financial markets, spatial research, or predictive modeling—let’s discuss how we can collaborate.

I am an experienced Machine Learning expert and quantitative researcher with a focus on economics and statistical data analysis. With over 3 years of experience, I have honed my skills in data analysis, data visualization, and statistical modeling. I specialize in creating powerful business intelligence solutions using tools such as R, R Studio, Stata, and Python. My understanding of econometric methods, predictive analytics, and data mining techniques allows me to analyze complex datasets and develop innovative insights for various businesses. I am passionate about using data to drive organizational growth and success, and I always strive to deliver results that exceed my clients' expectations. My expertise in statistical modeling and data analysis has enabled me to help businesses make informed decisions that positively impact their bottom line. Whether you need assistance with data analysis, modeling, or visualization, I am confident that I can help you achieve your goals. I am committed to staying current with the latest trends and techniques in the industry, and I am always open to learning new skills that will enable me to deliver better results for my clients. Thank you for considering me for your project. I look forward to the opportunity to work with you!

Welcome to my Upwork profile! My name is Ali Hamza, and I am a Statistician and Data Scientist with a strong academic background and hands-on experience. I hold a Bachelor’s degree in Statistics (CGPA: 3.6/4) and am currently pursuing a Master’s degree in Statistics and Data Science at LMU Munich, one of Europe’s top universities. With 2+ years of professional experience, I specialize in data analysis, statistical modeling, and data visualization, helping businesses, startups, and researchers turn raw data into actionable insights. Services I Provide (but not limited to): • Statistical Analysis – hypothesis testing, regression, ANOVA, time series analysis • Machine Learning – predictive modeling, classification, clustering, feature engineering • Data Cleaning & Preprocessing – handling missing values, outlier detection, and data preparation • Business Intelligence & Reporting – creating interactive dashboards and reports in Power BI and Excel • Experimental Design & A/B Testing – optimizing strategies and improving outcomes • Survey Data Analysis – questionnaire design, sampling, and advanced analysis • Academic Research Support – statistical consulting, thesis data analysis, and visualization Technical Tools & Expertise: • Programming & Analytics: R Studio, Python, SPSS, SQL • Visualization: Power BI, Excel, ggplot2, Plotly, Matplotlib, Seaborn Whether you need to find patterns in your data, make accurate predictions, or create easy-to-understand reports and dashboards, I use my skills and experience to deliver clear, reliable, and high-quality results that help you make better decisions. Let’s work together to transform your data into valuable insights and drive success for your project!

I am a data analyst and quantitative researcher with experience turning complex datasets into clear, actionable insights. I specialize in econometric analysis, survey data, and research support using R, Stata, SQL, and Excel. In addition, I provide academic proofreading and editing as well as general project management support for data-driven, technical, and international projects. My background includes managing and coordinating multi-country development and digital projects, supporting randomized controlled trials from a data perspective, and delivering analytical and written outputs for international organizations and multidisciplinary teams. I can help you with: - Econometric analysis (regressions, causal inference, panel data, RCT data work) - Data cleaning, data management, and SQL-based automation - Survey design and programming (SurveyCTO / ODK) - Literature reviews, evidence synthesis, and research assistance - Proofreading and editing of scientific or academic articles (clarity, structure, formal tone, APA style) - Data visualization, dashboards, and results reporting - Replicating or translating Stata workflows into R - Preparing pre-analysis plans and research documentation - General project management support (planning, timelines, coordination, task tracking, reporting) I have worked with institutions such as GIZ (German Development Cooperation), university research teams, and digital development projects across Africa, Asia, and Latin America. I am highly organized, detail-oriented, and comfortable managing workflows, deadlines, and cross-functional communication in remote and international settings. If you need robust quantitative analysis, clear and polished academic writing, or reliable project management support, I’d be happy to help. Let’s work together to turn complex workstreams into clear, high-quality results!