Machine Learning | Data Science | Statistics
- I build machine learning models that solve practical problems.
- I train algorithms to group data, predict trends, and analyze text.
- I write clean Python code to take projects from raw data to working tools.
Languages: Python, R, SQL, Bash Machine Learning & AI: Scikit-Learn, PyTorch, TensorFlow, XGBoost, MLflow, Hugging Face Data Science & Stats: Pandas, NumPy, SciPy, Matplotlib, Seaborn Databases: PostgreSQL, MySQL, MongoDB Tools & Platforms: Git, GitHub, FastAPI, Streamlit
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Defect Suggestion AI Developed a suggestion tool using Sentence Transformers and cosine similarity to identify defects. 🔗 Repo Tags: Machine Learning, NLP, IBM Maximo |
Air Jordan Resale Dashboard Analyzed sneaker resale data using machine learning and statistical tests to find key price drivers. 🔗 Repo Tags: Python, Streamlit, Scikit-Learn, Statistics |
A/B Test Audit Tool Built a tool to run validity checks, including sample ratio mismatch and statistical power, on A/B tests. 🔗 Repo Tags: Statistics, A/B Testing, Data Analysis |