Headline

Master’s in Computer Science | Passionate About Innovative Solutions in Software Development, Data Science, and Artificial Intelligence

About

Passionate about leveraging Artificial Intelligence, Data Analytics, and Software Development to solve complex problems, I am a Master’s in Computer Science graduate with hands-on experience in Big Data Processing, Machine Learning, and Software Engineering. With a background in Data Structures & Algorithms, Database Systems, and Parallel Programming, I thrive on building intelligent, scalable, and data-driven solutions. My professional experience spans roles in data analysis, AI, and software development, where I have worked on extracting insights from unstructured data, optimizing algorithms for efficiency, and developing applications that drive real-world impact. As a Teaching Assistant and Peer Teacher, I have also mentored students, reinforcing my ability to communicate complex concepts effectively. With a strong foundation in Python, Java, C++, MySQL, and MongoDB, I am eager to contribute to innovative projects in AI, Big Data, and Software Engineering. I am actively seeking opportunities where I can apply my technical expertise and problem-solving skills to develop cutting-edge solutions that enhance efficiency, optimize business operations, and improve user experiences. Let’s connect and collaborate on exciting opportunities!

Location

Bengaluru

AI stack

claude code

claude

gemini

grok

openai

perplexity

Work experience

Engineering Peer Teacher at Cleveland State University, Aug 2023 - Dec 2024 · 1 yr 5 mos, Cleveland, Ohio, United States

Intern at Parivruddhi Foundation, Sep 2021 - Mar 2022 · 7 mos, Telengana, India, Computers and teaching

Analyst at TheMathCompany, Aug 2020 - Aug 2021 · 1 yr 1 mo, Bangalore Urban, Karnataka, India, Built and maintained an enterprise Data Lake using AWS S3, AWS Glue, Amazon Redshift, and AWS Glue Data Catalog, enabling ingestion and transformation of unstructured data (logs, PDFs, CSVs, emails) into analytics-ready datasets; improved data accessibility and insight retrieval speed by 40%. Developed ETL pipelines using Python (Pandas, PySpark) and SQL, processing 500K+ records to perform data cleaning, transformation, anomaly detection, and trend analysis. Identified data anomalies (outliers, duplicates, missing values, demand spikes, seasonal deviations) and business patterns (customer segmentation, churn indicators, product affinity, regional sales trends), improving strategic planning accuracy by 15%. Automated data workflows using Python scripting, reducing manual processing effort by 30% and ensuring consistent data delivery. Designed end-to-end data pipeline workflows: ingestion → cleansing → transformation → validation → warehousing → visualization; maintained version control using Git and documented metadata standards.

Intern at Umeed Asha Kiran School, Jul 2019 - Jun 2020 · 1 yr, Bengaluru, Karnataka, India, Computers and teaching

Intern at Wonderslate Technologies, Sep 2017 - Aug 2018 · 1 yr, Karnataka, India, Android developer

Education

Master's degree, Computer Science, Cleveland State University

Bachelor of Engineering - BE, Electronics and Communications Engineering, University Visvesvaraya College of Engineering, Bangalore University