Alexander Anisimov

High school student at CPM School and a final-stage DANO prize winner. Analyzed T-Bank business data and public road-safety data using Python, statistical methods, and data visualization. Seeking a data or product analytics internship.

Education

CPM School, Computer Science track · Moscow

2025 — 2027 (expected)

GPA: 5.0/5.0 across all subjects; coursework in olympiad mathematics and competitive programming
Independent study: Harvard STAT 110 (Probability), ISLP (Statistical Learning with Python), and econometrics

Data Analysis & Competitions

2nd Place, DANO Hackathon at ITMO University, T-Bank Gorod case

April 2026

Analyzed 102,351 grocery orders from T-Bank Gorod to study how markup was associated with order composition and volume
Segmented results by product category and cashback level, prepared GMV comparisons and visualizations, and formulated a behavioral explanation for lower price sensitivity in ready meals and bakery products
In the final analysis, a 1 pp markup increase was associated with a 1.13% GMV decline for fruit, vegetable, and sweets categories, while ready meals, bakery, and drinks were nearly unchanged (+0.08%); the difference was significant (p < 0.001)
Prepared materials for the final presentation; the 6-person team placed 2nd among more than 40 teams

Prize Winner, DANO Data Analysis Olympiad — Final Stage, road safety research

November — December 2025

Cleaned anomalies and outliers in a public road-accident dataset and conducted EDA across violation types and injury rates
Developed and visualized the research logic linking intoxication-related violations to a higher share of injury-causing accidents
Translated the findings into policy recommendations on alcohol interlocks, novice-driver limits, and transport alternatives, and prepared final presentation materials

Selected Projects

AD-Platform, solo project · PROD 2025 individual final

February 2025

Built four Go microservices for campaigns, ad delivery, statistics, and users, connected through gRPC and RabbitMQ
Implemented campaign ranking using expected profit, externally supplied ML relevance scores, delivery progress, and freshness
Added PostgreSQL, MongoDB, Redis caching, OpenTelemetry tracing, Prometheus/Grafana monitoring, and Testcontainers-based tests

NFT Marketplace, solo paid freelance MVP

November 2024 — February 2025

Developed a Telegram Mini App and bots for issuing, browsing, purchasing, holding, and staking Stellar-based NFTs
Built a TypeScript monorepo with Next.js, tRPC, PostgreSQL/Drizzle, Redis, MinIO/S3, authentication, and the Stellar SDK
Reduced repeated blockchain and storage requests through Redis and image caching, substantially improving catalog response time

Olcbox, open-source maintainer

2026 — Present

Developing a cross-platform networking client with Kotlin Multiplatform and Compose for Android, iOS, macOS, Windows, and Linux
Project adoption: 420+ GitHub stars, 40+ forks, and external contributions

PROD Olympiad Team Final, frontend lead · 5-person team

February — March 2025

Designed the complete UI in Figma, created the frontend architecture, implemented the React/Next.js application, and coordinated frontend work for a coworking-management MVP. Finalist among approximately 60 teams.

Technical Skills

Data & ML: Python, Pandas, NumPy, SciPy, scikit-learn, Statsmodels, Matplotlib, Seaborn, Plotly; EDA, hypothesis testing, regression, tree-based models, PCA, feature engineering, cross-validation, and model evaluation

Mathematics: Probability, mathematical statistics, linear algebra, Calculus I, and introductory econometrics

Engineering: Go, TypeScript, C++, Git, Docker, Linux, gRPC, RabbitMQ, PostgreSQL, MongoDB, Redis

SQL: SELECT, JOIN, GROUP BY, and aggregate functions

Languages & Additional Honors

Russian: Native · English: C1 proficiency · German: B2, Goethe-Zertifikat (2025)

Prize winner, regional stage of the All-Russian School Olympiad in German; qualified for the national final. Winner, DANO Data Analysis Hackathon (2025).