📍 United States
📧 [email protected] | 📞 +1 914 259 0687
Experienced Data Engineer specializing in ML, Data Science, and Analytics. I'm deeply versed in the Python Data/ML/DS ecosystem, with expertise in Pandas, PySpark, Polars, and NumPy. I regularly work with both relational databases (SQL, dbt, Jinja templating) and NoSQL databases (MongoDB, DynamoDB). My experience spans classification projects (using Decision Tree/Random Forest algorithms and statistical models) and unsupervised learning (implementing hierarchical clustering with HDBSCAN and OPTICS, plus dimensionality reduction via PCA, t-SNE, UMAP). I leverage ML experiment tracking tools like MLFlow and Weights & Biases, and I'm proficient with Python's data modeling tools (Pydantic, dataclasses, TypedDicts). I excel at optimizing Python performance through multithreading and multiprocessing. My full-stack capabilities include building backend APIs with FastAPI and Flask, along with frontend development using TypeScript and HTML.
A versatile Data Engineer & Scientist who solves complex technical problems across multiple industries, including Cybersecurity, Fintech, and Data-as-a-Service. Coming from a non-STEM background, I've built deep expertise in Data Engineering, Machine Learning, Entity Resolution, and Big Data Processing, with 8**+ years of Python** and 8**+ years of SQL** experience.
I am passionate about continuous learning and technical growth, focused on designing scalable systems, optimizing performance, and delivering high-impact solutions. Through project leadership, peer mentoring, and business value creation, I ensure data-driven solutions align with strategic objectives.
My expertise in fraud detection, risk analytics, data enrichment, and cybersecurity asset management showcases my ability to adapt quickly, enhance system designs, and drive engineering initiatives.
Senior Data/ML Engineer | September 2022 – Present
📍 Remote - U.S.