Sakina Rizvi

I’m a Computer Science undergraduate with hands-on experience in Data Analytics, Machine Learning, MLOps, and Generative AI, built through end-to-end projects and an industry internship. I focus on turning data into scalable, data-driven solutions that solve real-world business problems.

In my projects, I built an AI Job Hunt Assistant using CrewAI, LangChain, Streamlit, MongoDB, and Gemini AI, including a 3-agent architecture to analyze job descriptions and generate personalized cover letters. I also developed an Amazon-style e-commerce database in PostgreSQL with advanced SQL analytics and created Power BI dashboard pages for sales, profitability, customer insights, and regional performance. For production-ready ML, I engineered and deployed a Customer Churn Prediction platform with Python, Scikit-learn, MLflow, DVC, Docker, and AWS to automate the ML lifecycle and make deployments reproducible.

As a Business and Data Analyst Intern at Analytics Career Connect, I built Power BI dashboards tracking student engagement metrics across 5,000+ users and analyzed course completion data to identify drop-off patterns and support retention initiatives. I bring strong analytical and problem-solving skills, collaborate well, and learn quickly to deliver impactful results in fast-paced environments.