Soham Milind Mudalgikar

Bio

My research interests are Data Science-Deep Learning, Mathematical Modelling and Computational Finance. Specifically, I focus on addressing challenges associated with memory involved patterns, clustering, and sequential data in the field of engineering and computational finance. I have worked on projects which have dealt with Machine Learning models, Neural Networks, Monte Carlo Simulation, time series models and text mining. I also have experience in problems related to Mechatronics, Production Systems, Logistics Engineering, Inventory Optimization and Demand Forecasting.

Approaches/analysis

• Machine Learning (Regression Analysis, Decision Trees)
• Deep Learning (Feed Forward Networks, Recurrent Networks)
• Time Series Analysis
• Unsupervised Learning (k-means, DBSCAN)
• Principal component Analysis
• Statistical Inference

I’m interested in working on…

I have developed an interest in projects that involve natural language processing (NLP) and data mining. I have less experience, but would like work on interpreting machine learning results and why they work.

Area(s) of Expertise

Python, R, MATLAB, Gurobi