About Me
Hello!
I’m a data scientist specializing in machine learning, data engineering, and AI-driven automation. As BrightBid’s (NASDAQ: BRIGHT) first data scientist, I built and deployed machine learning models powering key AdTech products— optimizing bids, detecting anomalies, and automating keyword management. Before transitioning to tech, I worked as a bank trader where I developed and backtested quantitative trading strategies while managing a proprietary trading fund.
My expertise spans model development, large language models (LLMs), and statistical analysis. Passionate about building intelligent systems, I thrive in fast-paced environments where technology meets business impact.
Skills
Software Proficiency
- Languages: Python, SQL
- Frameworks & Libraries: Scikit-learn, Pytorch, OpenAI API, Pandas, NumPy, NinjaAPI, Django, Flask
- Data Engineering: Docker, GitHub Actions
- Databases: PostgreSQL, Chroma
- Other Technologies: Databricks, Metabase, Streamlit, Jupyter, AWS, Azure
Machine Learning
- Regression & Classification
- Time Series Analysis
- Clustering
- Model Deployment
- LLMs & RAG
- LLM Agents
Data Analysis
- Business Intelligence
- Forecasting
- Data Wrangling
- Visualization (Matplotlib, Seaborn)
Data Engineering
- Parallel Processing
- ETL Pipelines
Statistical Methods
- Hypothesis Testing
- Experimental Design
- A/B Testing
AdTech Expertise
- Google Ads Optimization
- Campaign Analysis