Sergey S.
AI LLM Engineer | Data Scientist
9 years of experience in work with data: Data Analysis and Processing (SQL, R, Python), Interactive Visualization (Power BI, R Shiny, Tableau) and Machine Learning (linear regression, xgboost). ★★★★★ "Sergey is a very smart python programmer. I would have liked to work with him more but he got too busy." - Takeshi Yoshida ★★★★★ "Excellent work. Quick turnaround - ahead of schedule. Very good communication (in English). First time I used this freelancer/ upwork and I am very pleased with the outcome. Thank you very much!" - Chris Projects: - Comprehensive Information System: Developed from scratch, migrating from Excel to Azure Database, crafting a low-code app for data entry, and building a Power BI dashboard and a separate Dash app hosted on Azure for interactive result visualization — all within just 3 weeks! - Sports Predictions: Performed intensive data transformations and machine learning predictions for tennis, football, and AFL. Saved 3-4 months of work finding a way to merge the data processing pipelines of these different sports! - Golf Pose Tracker: Developed a neural network application using the pifpaf library that analyzes user-uploaded videos of golf shots and provides recommendations akin to a professional golf tutor. - Real Estate Price Predictions: Analyzed and predicted real estate prices. - Code-Writing ChatGPT Agent: Created an agent capable of writing code and self-correcting errors based on a console output. - Kaggle Competitions: Quora, Mercedes, and Melbourne real estate price prediction. Skills: SQL, R, Python, Excel, Dash, Shiny, ChatGPT, Docker, PowerApps, tidyverse, pandas, sklearn (scikit-learn), fastui, Azure ecosystem, git and GitHub, GitHub actions for CI. Professional Traits: - Fast Response & Reliability: I won't "disappear." I typically respond within two hours, especially when using any messenger with notifications. - Punctual: I respect deadlines and adhere to schedules. - Involved & Focused: I'm fully engaged with my work. - Client-Oriented Thinking: I prioritize understanding your needs and assist in clarifying your tasks. It happens that the task may change dramatically after clarification. - Clear Communication: I'm transparent about timelines, keeping you informed of significant changes and unexpected developments while respecting your time. Education: Completed courses in DeepLearning ChatGPT (2023), fastai (2020), Stanford's CS231n (2018), and Yandex+MIPT Data Science Specialization (2016). I've also designed a dozen educational courses focusing on machine learning and data visualization in R and Python. As an active GitHub contributor, I've worked on many data science packages, including tidyverse packages, catboost, featuretools, deeppavlov, and more. Please explore my portfolio section to learn more about my projects.
Earnings and projects
Last 6 months ÷ 6
Read daily since Oct 15, under 30 days
Billed in all: $16,007$16k
Across 27 contracts
Earnings, last 30 days
Tracked from Oct 15, 2026.