Jagadeesh Kovi
Data Analyst
Bloomington,IN
Overview
4
4
years of professional experience
1
1
year of post-secondary education
Work History
Graduate Research Assistant
Indiana University, Kelley School Of Business
05.2024 - Current
- Regulator Trends Analysis for Corporate Compliance Risk
- IU Faculty Assistance in Data Science (FADS) fellowship
- Working on developing a compliance risk analysis tool using NLP to identify regulatory enforcement trends
- Web scraping system to gather data from 10+ public enforcement newsletters, in the absence of RSS feeds
- Dashboard for real-time compliance insights & visualizations, using filters to correlate compliance areas over time.
Software Engineer
FIS Global Business Solutions
10.2021 - 11.2022
- Team-Decision Solutions, Core Banking Solutions, Angular, Agile/Scrum
- Helped rewrite the ‘Customer Setup’ platform, modernizing the old IBM AS/400 mainframes using AngularJS
- Seamlessly incorporated over 30 essential core banking modules - including ChexAdvisor, FraudChex
- Customer Search, and Mergers/Acquisitions/Splits - enhancing the application’s functionality and efficiency
- Reduced application access time by 60% through the implementation of GUI interfaces, reports & dashboards
- Engaged in cross-functional team collaboration, participated in product discussions and code reviews, and played a key role in both acceptance testing and go-live production builds.
Summer Research Intern
Bennett University
05.2020 - 06.2020
- Edge Computing, Custom k-means implementation
- Completed a 2-month virtual internship in Deep Learning and Artificial Intelligence
- Collaborated on feature pruning techniques that removed ∼40-50% of parameters, effectively optimizing Neural Networks for Mobile/Edge devices using PyTorch
- Attained a 30% FLOP reduction on CIFAR-100 dataset, without affecting the accuracy of the VGG-16 model
Education
Master of Science - Data Science
Indiana University
Bloomington, IN 08.2023 - Current
B.Tech - Computer Science and Engineering
Siddharth Institute of Engineering & Technology
07.2021
Skills
- Languages: Python, R, SQL, Java, JavaScript, C
- Data Science: EDA, Feature Selection & Engineering (Numpy, Pandas), Data Visualization (Matplotlib, Tableau)
- Data Modelling, Machine Learning (CNN, Linear & Logistic Regression, Naive Bayes, KNN)
- NLP: Open-source LLMs, Info Retrieval (RAG), Fine-tuning, ChatBots, LangChain, Ollama
- Web Tech: Angular, React, Flask, Nodejs, RESTful API, HTML, CSS
- Dev Tools: Git/BitBucket, PyTorch, AWS, Azure, GCP, Docker, CI/CD, Postman, Jira, MS Office Suite
Accomplishments
- ChatGPT and LangChain: The Complete Developer’s Masterclass | Udemy
- Natural Language Processing - Specialization | Coursera
- TensorFlow in Practice - Specialization | Coursera
- Microsoft Certified: Azure Fundamentals | Microsoft
- Agile Development Practices | LinkedIn Learning
- Regulatory and Compliance Trainings | FIS Global
- Publications
- Detection of Online Toxic Comments Using Deep Learning Preprint | Study paper, ICRDBI-2021
- Presented a study paper at the ICRDBI conference examining the capabilities and limitations of various
- NLP-related architectures, including Probabilistic (Na¨ıve Bayes), Sequential (RNN, LSTM, GRU), and Attention (Transformers) models, for their efficacy in toxicity classification.
Work Preference
Work Type
Full TimeLocation Preference
RemoteOn-SiteHybridTimeline
Graduate Research Assistant
Indiana University, Kelley School Of Business
05.2024 - Current
Master of Science - Data Science
Indiana University
08.2023 - Current
Software Engineer
FIS Global Business Solutions
10.2021 - 11.2022
Summer Research Intern
Bennett University
05.2020 - 06.2020
B.Tech - Computer Science and Engineering
Siddharth Institute of Engineering & Technology