Ram Krishna Email & Phone Number

Geismar, Louisiana, United States

Austin, Texas, United States

• Conducted molecular dynamics simulations with GROMACS software to predict conductivities of polymerized ionic liquids.
• Conducted regression analysis and wrote Python algorithms to interpret molecular trajectories.
• Used Scipy and Matplotlib to visualize and analyze ionic mobility data.

Austin, Texas, United States

• Extracted and pre-processed air quality data on New Delhi from regulatory bodies.
• Identified key drivers of air quality variations and impact of regulations by deploying random forest models using scikit-learn.
• Deployed ARIMA and statistical forecasting models to predict air pollutant concentrations.

Coppell, Texas, United States

• Projects Involved: Optimizing Internal Models (Morgan Stanley), Algorithm for Automated Model Selection, Retail Store Expansion Decision Optimization, Sales Analytics by Product and Industry, Optical Character.
• Helped transform clients’ data into tangible business value using data ingestion & transformation, exploratory data analysis, feature engineering, and model deployment and evaluation.
• Worked with open-source data analysis and machine learning tools, IBM AutoAI, IBM Decision Optimization, Cloud Pak for Data, Watson Discovery, IBM Db2.
• Deployed Gradient Boosting, Random Forest, XGBoost, and Logistic Regression models on inflation time series data to determine the most predictive and explainable model.
• Researched several regression model evaluation metrics and determined the most appropriate one for clients to use.
• Constructed statistical tests to pre-process financial data; detected outliers using Cook’s Distance, eliminated features with high multicollinearity, and applied PCA to reduce dataset dimensionality.