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avgrosheva/README.md

Anastasia Grosheva

I build data-driven digital products at the intersection of product, analytics, and technology.

My background is in marketing and market analytics, with a focus on product development, product analytics, and AI-enabled products. I work across the product lifecycle — from problem discovery and product logic to data analysis and implementation.

Skills

Product
Product discovery · Product strategy · User research · Metrics & KPI design · Agile / Scrum

Analytics
SQL · Python · Pandas · NumPy · Statistics · Data analysis · Data visualization · A/B testing

Machine Learning & AI
Scikit-learn · CatBoost · Recommender systems · LLM applications · RAG

Development
FastAPI · PostgreSQL · SQLAlchemy · REST APIs · Git · Docker

Visualization
Power BI · Tableau

Selected Work

AI agent product intelligence
Platform for analyzing AI agent releases.

Kora
AI copilot for early-stage due diligence that turns pitch decks and financial documents into structured, evidence-backed analysis.

Service Center Platform
Full-stack operational platform for small field-service and repair businesses.

Hasky Rider Academy
Telegram-native training product combining structured learning, real-world practice, skill progression, and gamification.

Contact

Telegram: @nastya_grosheva
Email: grosheva915@gmail.com

Pinned Loading

  1. ai-agent-product-intelligence ai-agent-product-intelligence Public

    Release intelligence for AI agents that turns behavior, product metrics, statistical investigation, economics, and human feedback into evidence-backed SHIP/HOLD/ROLLBACK decisions.

    Python

  2. kora-platform kora-platform Public

    AI due-diligence copilot for extracting, validating, and analyzing startup financials and pitch decks with source-grounded evidence.

    Python

  3. service-center-platform service-center-platform Public

    Full-stack operational platform for small field-service and repair businesses.

    Python

  4. hasky-motorcycle-bot hasky-motorcycle-bot Public

    Telegram Mini App for structured enduro training with real-world practice, skill tracking, and gamified progress.

    Python

  5. rec-sys rec-sys Public

    Movie recommendation system comparing collaborative, content-based, and hybrid approaches on the MovieLens 1M dataset.

    Jupyter Notebook

  6. subscription-churn-model subscription-churn-model Public

    Customer churn prediction for a telecom service using EDA, Logistic Regression, CatBoost, and classification threshold optimization.

    Jupyter Notebook