Hemanth Kasa
Summary
A skilled Individual with expertise in Python, Machine Learning, and data analysis using Pandas and R. Proficient in developing interactive dashboards with Power BI and leveraging cloud technologies on GCP. Experienced in front-end development with Angular, JavaScript, and TypeScript. Committed to advancing machine learning solutions to drive business insights and innovation.
Overview
3
3
years of professional experience
5
5
years of post-secondary education
Work history
Research intern
Lancaster University
lancaster, west midlands
06.2023 - 01.2024
- Evaluated the ethical dimensions of AI-generated art with a focus on creativity, bias, privacy, and security.
- Created a diverse dataset of ~10,000 AI-generated images using multiple style-transfer models.
- Assessed generated images for aesthetic quality and originality to support ethical analysis.
- Trained AI models (Inception, ViT, SWAN) using the curated dataset to evaluate new artworks for beauty, originality, and potential content issues.
Junior software developer
Cognizant
bangalore, india
01.2021 - 05.2022
MEAN STACK
- Developed and enhanced search bar functionality to improve data retrieval efficiency and user experience.
- Implemented responsive and visually consistent CSS styling across multiple components.
- Performed debugging and resolved minor front-end and back-end issues to ensure smooth application performance
- Assisted senior developers, gained valuable practical knowledge and skills.
Education
Bachelor of Science - Computer Science
Dayananda Sagar College of Engineering
bangalore 08.2017 - 08.2021
Master of Science - Data Science
Lancaster University
Lancaster, England 08.2022 - 01.2024
Skills
- Python
- Machine Learning
- Power BI
- GCP
- Angular
- Java Script
- Type Script
- Pandas
- R
Projects
End-to-End Stock Price Prediction Data Pipeline
Apache NiFi, SQL, Python, LSTM, APIs
- Built an automated end-to-end data pipeline to analyze and predict stock price movements.
- Used Apache NiFi to ingest real-time stock data from a public API and perform data cleaning, transformation, and routing before loading it into a SQL database.
- historical time-series data for model training.
- Developed and trained a Stacked LSTM model optimized for sequential data to forecast stock prices.
- Deployed model predictions for analysis and visualization, enabling insights into market trends.
Human vs AI Checkers Game (Minimax-Based Strategy Engine)
Python, Minimax Algorithm, Game Logic, UI Development
- Developed an interactive two-player checkers game featuring a human player versus an AI opponent.
- Designed and implemented an AI agent using the Minimax algorithm to evaluate game states and make optimal strategic moves.
- Built a user-friendly graphical interface allowing players to visualize the board, perform moves, and interact with the game smoothly.
- Implemented move generation, board validation, and game-state evaluation to support intelligent, competitive gameplay.
Timeline
Research intern
Lancaster University
06.2023 - 01.2024
Master of Science - Data Science
Lancaster University
08.2022 - 01.2024
Junior software developer
Cognizant
01.2021 - 05.2022
Bachelor of Science - Computer Science
Dayananda Sagar College of Engineering
08.2017 - 08.2021