Data / BI / Backend Developer with 5+ years of hands-on experience in Python, SQL, and Power BI. Skilled at building clean data pipelines, developing interactive dashboards, and applying machine learning models for real-world problems. Adept in analytical thinking, debugging complex code, and optimizing database performance. Open to full-time, part-time, and B2B roles in data and backend engineering.
Feb 2023 – Mar 2025 | Rasht, Iran
Jul 2014 – Jul 2020 | Rasht, Iran
Which Naruto characters have the strongest evidence of selling in Germany? Ranks 13 characters on 7 public sources (shops, YouTube, Google, news, fan votes) and shows how sure the answer is, in German and English.
A repeatable audit of Sartorius’ public cell-image dataset: checks 5,239 images, flags reused photos and sparse labels, and presents evidence in an interactive review dashboard.
Simulation-based inference for gravitational-wave signals (binary black holes). Trained normalizing flows with a GRU-based summary network to recover 6-D parameters (m1, m2, χ1, χ2, distance, inclination).
Interactive dashboard to explore HICP (Harmonised Index of Consumer Prices) across EU countries and COICOP categories. Computes Monthly and Annual inflation rates, and renders responsive, scrollable visualizations. Star-schema model (Facts: index/weights; Dims: Date/Geo/COICOP), DAX measures, parameterized filters.
Relational schema + CRUD with user roles, data integrity, and query performance.
Search-based AI for Hex; heuristics and efficient board evaluation.
Real-time input, collision detection, and simple physics with clean OOP design.
Data cleaning and statistical comparisons of age ratings and Rotten Tomatoes scores.
TU Dortmund University — Dortmund, Germany
Focus: statistical learning, machine learning, data pipelines, and practical analytics (Python/SQL/Power BI).
University of Guilan — Rasht, Iran
