I'm an MS in Data Analytics Graduate Student and a Machine Learning Research Assistant at the San Jose State University. Prior to this I was a pre-Doctoral candidate and a Data Science Researcher at the Indian School of Business (ISB), working on multiple interdisciplinary research projects at the intersection of Business and Information Systems. I am deeply passionate about working on research topics that involve creating novel datasets and applying principles of deep learning, natural language processing and social network analysis.
Education 🏫
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Pre-Doctoral Research Program
CGPA: 3.54/4.00
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B.E. in Computer Science & Engineering
CGPA: 3.7/4.00
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12th Grade
Percentage : 93.00 %
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10th Grade
Percentage : 92.96 %
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Work Experience 👨💻
Graduate Research Assistant- AI/ML
Responsibilities:
- Research & Development of cycle GAN Deep Learning model for Text style transfers (NLP, TensorFlow, PyTorch)
Data Science Researcher (advised by Prof. Deepa Mani)
Responsibilities:
- Responsible for the end-to-end development of four research projects which includes tasks such as literature review, data collection, cleaning, feature engineering, ML modeling, regression analysis, and paper writing.
- Contributing to multiple projects at the intersection of Information Systems, and Economics such as: Online Price Index, Public Sentiment Index, Employment & AI Index, and Housing Price Index by data collection, data cleaning, pre-processing, feature engineering, and built interactive visuals with power BI and Tableau
- Performed Data Scraping and created datasets like Employee reviews, Online job posts, Chess games, CEO interviews, Meetup communities, and social media datasets (Twitter, Reddit, Instagram, and Facebook)
- Replicated the Facebook Social Connectedness Index project by Bailey et. al. Exploring the possibilities of using this data to understand the influence of social connections on voting patterns
- Assisting professors on their working papers by handling tasks such as dataset creation, regression analysis and CEM matching with Stata, and documenting the task outcomes for report writing.
- Mentoring and managing the contributions of undergraduate research interns reporting to Prof Deepa Mani.
AI Product & Analytics Consultant
Responsibilities:
- Building AI product prototypes & authoring technology related blogs to increase the firm’s market presence in AI
- Contributing to the development of the firm’s internal document search engine chatbot - HumAIn
- Consulting on projects involving Data Analytics and Artificial Intelligence Product Development
Data Scientist (internship)
Responsibilities:
- Performed Exploratory Data Analytics; built interactive visuals, trained ML models, developed CICD pipelines
- Built the proof-of-concept model and aided in the infrastructure development of the product Data Wisdom
- Played a pivotal role in adding to the analytics project lifecycle by conducting R&D of new analytical tools
- Leveraged APIs and developed fully integrated real-time streaming analytics pipeline for client, HomeInspektor
- Collaborated with cross-functional teams and delivered actionable insights to stakeholders
Responsibilities:
- Developed a hyper-local online marketplace to connect xerox shops with their hyperlocal customers
- Secured Incubation & funding from E-Cell, Dept of CSE, DSATM to penetrate the market with developed MVP
- Finalists of IIMB Bzz-Wings 2020; secured mentoring support at Indian Institute of Management, Bengaluru (IIMB)
- Teaching Assistant to Professor Manjunath DR
- Courses: Operations Research & Database Management Systems
- Graded Assignmenments. Developed presentations, & solutions to course materials
Research 📝
Updating.....
Find the updated information on my research interests and work on my CV
