Shruti Pathak

I am an analytical and curious M.Tech student specializing in Artificial Intelligence and Decision Science. With a strong mathematical foundation and hands-on experience in modeling, forecasting, and dynamic systems, I am passionate about solving abstract problems in real-time environments using data-driven decision-making.

During my internship as a Data Analyst at Edunet Foundation, I analyzed supermarket time-series data to model customer churn probabilities. I applied clustering, regression, and anomaly detection techniques to derive exploratory business insights and delivered concise statistical recommendations while collaborating with a remote team.

My projects include regime detection in financial markets using machine learning and stock price prediction using LSTM. I have developed hybrid forecasting models and integrated real-time stock market data to optimize model accuracy. I am eager to leverage my skills in a challenging role that allows me to contribute to innovative data-driven solutions.