Kavya Sharma

I’m an AI & Data Analyst skilled in Python, SQL, Power BI, Machine Learning, and NLP. I completed a 7-month remote internship building AI-powered analytics dashboards, predictive models, and business intelligence solutions.

In my internship, I analyzed customer behavior, engagement trends, and market data to identify business growth opportunities. I also conducted competitor research and prepared data-driven reports to support strategic decision-making.

I led a remote intern team and coordinated project deliverables across business initiatives. I collaborated through documentation, reporting, and async communication workflows in a remote environment.

My projects include an AI-driven financial market prediction and risk analysis system using Streamlit with LSTM, Random Forest, and VADER NLP, plus a GenAI Business Insights Dashboard using LangChain and Groq LLaMA 3 for natural-language dataset querying. I’ve also built an end-to-end customer churn prediction pipeline comparing Logistic Regression, Random Forest, and XGBoost (≈82% accuracy) to generate retention insights.