SRIDHAR JAGADEESAN

Analytical and detail-oriented Data Science and Machine Learning professional with 6+ years of experience in planning and inventory management. Seeking to apply AI-driven insights and predictive analytics to optimize business processes and improve operational efficiency.

Native, Professional Proficiency

Automobile Prices Economics, 01/01/19 - 12/31/23, Analyzed automobile market data using regression models to study pricing trends and economic factors. Credit Card Fraud Detection using Logistic Regression, Developed a predictive model to identify fraudulent transactions with high accuracy. Google Stock Prediction using LSTM, Implemented Long Short-Term Memory (LSTM) neural networks for time-series forecasting of stock prices. K-Means Clustering of Iris Dataset, Applied unsupervised learning for data segmentation and feature-based grouping. Market Segmentation (Unsupervised Learning), Performed customer segmentation using K-Means and hierarchical clustering to identify behavioral patterns. Weather Prediction using RNN, Built Recurrent Neural Network (RNN) models to forecast weather conditions based on past trends. Text Classification using CNN, Implemented Convolutional Neural Networks (CNN) for text sentiment classification and NLP tasks.