Master of Science - Information

2019 - 2021

University of Michigan, Ann Arbor, MI, USA

GPA: 3.98/4

Majoring in Data Science and Analytics.

Research Assistant

2019 - 2020

University of Michigan, Ann Arbor, MI, USA

• Identified problem areas in instructional material through learning analytics using python that improved students’ performance in exams by 85%.

Bachelor of Engineering - Computer Science and Engineering

2013 - 2017

B V B College of Technology, Hubballi, Karnataka, IND

GPA: 8.89/10

Research Experience for Undergraduates

2016 - 2017

B V B College of Technology, Hubballi, Karnataka, IND

• Research Publication: Presented a research paper on Mobile Agent based frequent pattern mining of distributed databases in ICICC, 2017 proceedings published by Springer.

Machine Learning Intern

2020 - 2021

Enterprise Minds Inc., San Ramon, CA

• Built a flask application in Docker Container on Google Cloud Platform for extracting the text from invoice images and verify the authenticity of the text.

Data Scientist

2020 - 2020

University of Stellenbosch and Wharton School of Business, Ann Arbor, MI

• Built a Bag-of-words model to predict rise and fall in human conflict levels for a given geographic area in defined time window with 85% improvement over baseline.
• Led the Quantitative team, designed and implemented the database system for storing 200 data sets using MySQL. Through automation of ETL process improved the efficiency by 15%.

Software Engineer

2017 - 2019

Accenture, Bengaluru, KA, IND

• Developed an E2E downloadable monthly customized invoices functionality using agile practices for a fortune 500 telecommunication client which helped decrease operational time and cost by 50%. I was awarded ”Star of the Month”.
• Automated the Change management activity for creating the change requests for project.Conducted impact analysis, assessed change readiness which helped in creating strategies for project progress.

Data Engineer

2016 - 2017

GDV Pvt Ltd, Australia

• Technical associate leading the designing and developing of a web portal for performing statistical analysis of health care data (EHR) of old aged people in order to draw important insights and information using vital health parameters.
• Designed and implemented an intelligent advisory algorithm which advises the individuals on their health and informs the concerned during the emergency situations. The project was awarded the "Best Project" in it's category.

Drug Recommendation using Review Mining

• Built a neural network model that uses the drug descriptions,conditions, past reviews of customers and then recommend the medicines for each Health Condition of a Patient with 89% accuracy.
• Link to the Project

Predicting value of Jeopardy Questions

• Predicted value of Jeopardy Questions based on each questions’ text and answer with the accuracy of 78% using Machine Learning and feature extraction.
• Link to the Project

Crypto-currency Trading Analysis

• Predicting future price movements from historical data to identify price movement patterns through exploratory data analysis(EDA), Statistical analysis and K-means clustering.
• Link to the project

Credit Card Fraud Detection

• Built a high performance deep learning model to detect credit card frauds with accuracy of 98% using PCA transformation.

Obesity Analysis

• Time series analysis of obesity rates in adults, and the potential associations between obesity and other factors such as socio-economic factors and smoking habits using exploratory data analysis(EDA) and visualized using d3.
• Live Link | Link to the Project

PDF search Engine for UN Agencies and NGOs

• A simple information retrieval based PDF Search Engine with the NDCG score of 0.8 using BM25L model.
• Link to the project

Sentiment Analysis for Self-Driving cars

• Leveraged 20,000 tweets to develop sentiment analysis model to classify them using supervised Machine Learning models, Phrase modeling and Topic Modeling and compared the results through performance matrices.
• Link to the project

Airbnb Review Summarizer

• Built a tool that creates visualization of Airbnb reviews per city using Bag of words,Topic Modelling, and Sentiment Analysis.