• GPA 4.0/4.0
• Specialization in Artificial Intelligence and Human-Computer Interaction

Fall 2022 Courses: Web Mining and Recommender Systems, Principles of Artificial Intelligence, Linear Algebra for Data Science

Winter 2023 Courses: Algorithm Design and Analysis, Data Systems for Machine Learning, Antisocial Computing

Spring 2023 Courses: Statistical Natural Language Processing, Advanced Data-Driven Text Mining

Fall 2023 Courses: Biomedical Natural Language Processing, Software Engineering

Winter 2024 Courses: Personal Genomics

• CGPA 9.34/10
• Rank 3/150
• Minor Specialization in Big Data Analysis.
• Activities and societies: Pydata Manipal, ACM Student Chapter

Courses: Data Mining, OS, Data Structures, Algorithm Design, Pattern Recognition, Computer Vision

• Winter 24: As a Teaching Assistant for a Graduate-level course on Advances in Language Models, my responsibilities included answering course-related questions and grading student assignments.
• Fall 23: Teaching Assistant for upper-division course on Web Mining and Recommender Systems. Helped debug coding issues and answered technical questions on topics related to Machine Learning for a class of over 500 students.

Skills: Recommender System, Machine Learning, Natural Language Processing, Large Language Models, Teaching, Reasearch

• Working in the field of Human-AI interaction, with a specialized focus on Explainable AI. Advised by Dr. Kristen Vaccaro.
• Worked on Enhancing AI explainability evaluation by identifying challenges in human-centric testing, fostering methodological improvements, and boosting explanation quality and stakeholder trust.
• Spearheading a project to optimize the assessment of Explainable AI through human feedback.
• Innovatively conceptualized evaluation tools by conducting 25 user interviews, and collaborating with leading researchers and practitioners.

Skills: Human-Computer Interaction, Research ,Artificial Intelligence, Explainable AI, Technical Writing, Interviewing,Thematic Analysis

• Led the training and deployment of ML models for stress and depression detection using wearable devices and collaborated with a team of five engineers for seamless integration to improve user experience.
• Working on employing and fine-tuning Large Language Models for detecting depression in Veterans using wearable sensor data.
• Played a pivotal role in drafting patents for groundbreaking technical innovations and spearheaded the authorship of grant proposals to secure vital funding.

Skills: SQL, Big Data,Data Analytics,Python, Azure Synapse Analytics, Data Engineering

• Orchestrated robust data pipelines and ETL processes for India’s Largest Private Insurance Company, catalyzing a 15% surge in sales by powering data-driven strategic decisions.
• Designated as a Data Engineer, developed the architecture for the new Modern Data Warehouse storing 42 TB of data.
• Developed, triggered & monitored robust ETL Pipelines for Data Integration of 112 core tables in Azure Synapse Analytics.
• Led a team of 3 to translate multiple legacy on-premise analytical and operational developments to more optimized and efficient developments in Azure Synapse and Power BI.

Skills: SQL, Big Data,Data Analytics,Python, Azure Synapse Analytics, Data Engineering

• Transformed reporting by migrating from SAP BO to PowerBI, fusing data sources to cut render times by over 90% and improved stakeholder collaboration for enhanced executive decision-making.
• Boosted productivity and revenue by developing 30+ PowerBI data dashboards for analyzing insurance data, empowering higher management with actionable insights.

Skills: Power BI, Data Analytics, Azure Synapse Analytics, Sales Analytics

• Pioneered the development of the bagging-based (ensemble algorithm) ‘Community Forest Algorithm,’ which improved customer retention by 16% and outperformed standard ML algorithms by 14% in accuracy on the churn prediction task.
• Engineered efficient Resume parser using text processing and LSTM networks, enhancing accuracy and productivity.
• Developed focused Data Science and Machine Learning learning materials and technical writing for seamless onboarding and skill-building of recruits.

Skills: Machine Learning, Data Science, Natural Language Processing