Herleen Sanhotra
Data Analyst at WithMe Health with 2+ years of experience analyzing and processing extensive healthcare datasets to extract actionable insights that drive research and data-informed decisions.
Boosted data accuracy by 15% and process optimization by 25% through custom BI platform developments and SQL optimizations. Led the successful migration of 100+ reports to Domo, enhancing user engagement by 80%. Distinguished by academic projects that utilized predictive analysis on traffic accidents and sales forecasting. Holds a Master's in Computer Science from the University of North Carolina at Charlotte. Skilled in Python, SQL, Domo, Microstrategy, and cloud computing technology AWS(S3, Athena, Notebooks).
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Data Science Portfolio
Text Summarization of Amazon Food Reviews
[Natural Language Processing]
Built a text summarizer which generates shorter summaries of Amazon food reviews using a Multilayer LSTM Seq2Seq model with attention layer.
Face Mask Detection
[Machine Learning]
Developed a face mask detection system using Convolutional Neural Network and tested it in real time using OpenCV.
Prediction of Severity of Accidents in the US
[Knowledge Based Systems]
Built a real-time prediction system to predict Traffic Accidents in the US using a Machine Learning Classification model on GCP’s AutoML Tables.
Data Analysis of Student Alcohol Consumption
[Software System Design and Implementation]
Analyzed causes of alcohol consumption in secondary school students with the help of data visualizations using Python libraries Matplotlib and Seaborn.
Walmart Sales Forecasting
[Knowledge Discovery in Databases]
Built regression models to forecast weekly sales for Walmart store sales and established CRISP-DM methodology for the project cycle.
Related Work