Learning REST APIs

Machine Learning Specialisation

Machine Design Part 1

Introduction to Data Science

Bachelor of Engineering - BE

Master of Science - MS

Software Developer

Software Engineer Intern

• Involved in wrangling of data, converting raw data into clean, usable format using Python and its libraries- Pandas, NumPy and Matplotlib.
• Worked on path optimization of a material handling warehouse robot using Q-learning and Reinforcement learning algorithms.
• Predicted material properties at different temperatures using Linear Regression algorithm with 92% accuracy.

Data Science Intern

<p>• Processed and studied vast volumes of text data using natural language processing techniques, eliminating noise and discrepancies to enhance data quality for advanced analytics, resulting in more accurate insights and decision-making.
• Implemented NLP methodologies and leveraged Hugging Face pipelines to extract essential sentences and keywords from text data, lead to 40% reduction in information handling time for the Investor Relations team’s business insights.
• Applied Universal sentence encoder models to enhance quarterly trend identification accuracy by 20%, while achieving a 95% success rate in emotional tone detection for keyword-related conversations, and created visualization dashboards.
• Automated manual transcript reading using a Machine Learning Pipeline, reducing downtime from hours to 15 minutes.</p>

Data Science Intern (Practicum)

Actively Seeking New Grad Roles in Software Engineering & AI | MS in Information Systems @ SCU | Former Software Enginee

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