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sakhi20/README.md

Sakhi Patel

ML Engineer · Computer Vision · Data Science NC State University — M.S. Computer Science (Expected 2026)

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🔬 Featured Research

Two-phase deep learning pipeline (building localization + damage classification) on the xBD benchmark. JointDamageNet achieves F1=0.8136 with a single model, surpassing the xView2 Challenge 42-model ensemble winner (F1=0.8112) and achieving the highest localization F1 (0.8752) of all compared methods. NC State University · Advanced Topics in ML · Spring 2026


🛠️ Projects

Project Description Stack
Suspicious Activity Detection Real-time weapon detection system, 87% precision, 0.85 mAP@0.5 YOLOv8, OpenCV
LLM Data Dashboard Natural language → sales data queries, Dockerized Streamlit, OpenAI, Docker
Student Stress Prediction Mental health prediction API with RF + K-Means scikit-learn, Flask
GenoCompress-AI 18.9× genomic compression via Conv1D autoencoder TensorFlow, BioPython

💻 Technical Skills

Languages: Python · R · Java · C · C++ · SQL

ML / CV: PyTorch · TensorFlow · Keras · scikit-learn · OpenCV · YOLOv8

Data: Pandas · NumPy · Matplotlib · Plotly · Power BI

Infra / Cloud: Docker · Flask · Streamlit · AWS · Azure · MySQL


📊 Analytics Portfolio

Pre-MCS data analytics work: SQL Analytics · Instagram Analytics · Operational Metrics · IMDB Analysis


Open to ML Engineer, Applied Scientist, and Computer Vision roles. Available for OPT. Based in Raleigh, NC.

Popular repositories Loading

  1. cs50 cs50 Public

  2. Data-Analytics-Process Data-Analytics-Process Public

    End-to-end data analytics case study applying the 6-phase process (Plan → Prepare → Process → Analyze → Share → Act) to meal planning and cooking scenario data.

  3. Instagram-User-Analytics Instagram-User-Analytics Public

    MySQL-based Instagram user analytics — marketing insights (loyalty programs, hashtag performance, campaign timing) and investor metrics (engagement rates, bot detection) using SQL queries.

  4. Operation-Metric-Analytics Operation-Metric-Analytics Public

    SQL-driven operational metrics investigation — user engagement analysis, retention curves, and job data insights using MySQL.

  5. Hiring-Process-Analytics Hiring-Process-Analytics Public

    Excel-based hiring process analysis — gender distribution, salary benchmarking, departmental composition, and outlier detection across recruitment data.

  6. IMDB-Movie-Analysis IMDB-Movie-Analysis Public

    Statistical analysis of IMDB movie data exploring factors influencing success — genre, duration, language, director impact, and budget correlation using Python.