Data Science graduate with experience in data science, research, and machine learning. Has worked on exploratory data analysis, Bayesian predictive models, geospatial data visualization, and algorithmic research, with pr…
Data Science graduate with experience in data science, research, and machine learning. Has worked on exploratory data analysis, Bayesian predictive models, geospatial data visualization, and algorithmic research, with programming experience in Python, Java, C++/C, R, MATLAB, and tools such as PyTorch, Keras, TensorFlow, ArcGIS, PowerBI, Django, Flask, MySQL, and GreenPlum.
• Performed exploratory data analysis in MySQL and GreenPlum to develop understanding of data and gauge its accuracy
• Built Bayesian predictive models to optimize agent and customer interactions
• Set up monitoring dashboards to check and analyze model performance
Performed exploratory data analysis in MySQL and GreenPlum to develop understanding of data and gauge its accuracy
Built Bayesian predictive models to optimize agent and customer interactions
Set up monitoring dashboards to check and analyze model performance
Conducted research and algorithmic analysis for the project ‘Unknown Unknowns’
Wrote code, processed massive datasets, produced analysis and visualizations
Wrote a research paper on the project ‘Unknown Unknowns’ and submitted it for publication at AAAI-21
Used ArcGIS to collect, integrate and visualize geo-spatial data
Used Python to write scripts to replace excel and tableau workflows for market and submarket level data preparation
Created and ran contemporary supervised and unsupervised Machine Learning models for classifying and clustering market and submarket level data in order to define CBD boundaries
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