Sayqin Rustamli

Data Scientist & AI Specialist

Strasbourg, France

sayqinr@gmail.com LinkedIn GitHub

About Me

Data Science master's student at University of Strasbourg with a unique blend of finance background and technical AI/ML expertise. Experienced in building end-to-end ML pipelines, deploying LLMs in production, and translating complex data into actionable business insights. Passionate about applying AI to solve real-world problems.

Education

University of Strasbourg

France | 2024-2026

M.Sc. Data Science for Economics
Specialization: Programming, Machine & Deep Learning, Advanced Statistics, Cloud/MLOps.

University of Warsaw

Poland | 2014-2019

B.Sc. Finance and Accounting
Mathematics, Financial Analysis, Probability & Statistics, Micro & Macroeconomics.

Professional Experience

Co-Founder (Data & E-commerce)

E-Lead | Strasbourg, France | Jan 2022 - Oct 2024
  • Translated complex data into concrete business strategies to drive revenue growth.
  • Analyzed transactional data to optimize pricing strategies, product sourcing, and overall profitability.
  • Conducted algorithmic optimization of the supply chain and ensured reliable management of supplier flows.

Junior Product Controller

Natwest Markets | Warsaw, Poland | Jan 2019 - Aug 2019
  • Performed strict reconciliation and quality control of complex financial data (P&L) to guarantee reliable reporting pipelines.
  • Rigorously validated market transactions, ensuring absolute integrity of trading databases.
  • Resolved pricing anomalies in direct collaboration with quantitative modeling teams.

AML Analyst

RBS | Warsaw | Apr 2018 - Dec 2018

Investigated massive transactional patterns using data analysis techniques for anomaly detection. Strengthened KYC/AML regulatory compliance.

Web Content Analyst

Accenture | Warsaw | Mar 2016 - Dec 2018

Executed large-scale textual processing and classification to secure and improve search engine algorithms.

Data Projects & AI Integration

RAG

Agent-IA-academique

Built production-ready RAG system using local LLaMA 3.2 via Ollama with ChromaDB vector store. FastAPI backend + Streamlit UI.

GitHub
DATA SCIENCE

Churn Prediction

End-to-end ML pipeline for customer churn prediction using Random Forest. EDA, feature engineering on large-scale customer data.

GitHub
GEN AI

Article Bot

Chrome extension with Flask backend. OpenAI GPT-4 API for article summarization and sentiment analysis from Le Monde/Le Figaro.

GitHub
DEEP LEARNING

Climate Prediction (LSTM)

LSTM neural networks for time series forecasting of city temperature anomalies. PyTorch with CUDA acceleration.

GitHub
RESEARCH

Cournot-RL

RL applied to microeconomic environments. Regret-minimizing policy gradient bridging RL and Game Theory.

GitHub
DATABASE

Budget Tracker

SQLite database with 5 normalized tables. CRUD operations using pure Python standard library.

GitHub
DEPLOYMENT

Tech & AI Channel

Automated content curation via Telegram Bot API with NLP pipeline for intelligent filtering and classification.

Telegram
FULL-STACK

AI Presentation Maker

Full-stack AI-powered presentation generator with generative AI integration. Deployed on Netlify.

Live Site

Technical Skills

Supervised Learning

Linear Regression, Logistic Regression, Decision Trees, Random Forest, XGBoost, Gradient Boosting, SVM, KNN

Unsupervised Learning

K-Means, PCA, Clustering

Deep Learning

Neural Networks, LSTM, CNN, TensorFlow, PyTorch

Reinforcement Learning

Q-Learning, DQN, Policy Gradient, Game Theory, Multi-Agent Systems

NLP

Text Processing, Sentiment Analysis, RAG, LLM Integration, Sentence-Transformers

AI Engineering

Ollama, ChromaDB, OpenAI API, FastAPI, Streamlit

Tools & Data

Pandas, NumPy, Scikit-learn, Docker, Git, SQL, JavaScript

Languages

  • English: Fluent
  • French: Advanced