I am a Data Professional with experience in data analytics, research, and machine learning, specializing in transforming complex datasets into meaningful insights. My work spans data engineering, automation, natural language processing (NLP), and business intelligence, with hands-on experience building scalable data pipelines, developing dashboards, and creating analytical solutions that support informed decision-making.
Data Research Intern
Virginia Tech
- Gained valuable experience in collecting, cleaning, and organizing large datasets.
- Enhanced data handling and preprocessing skills, critical for data-driven research
AI/ML intern
SETV Global
- Specialized in chatbot development and model prediction.
- Gained hands-on experience with Azure and Google Cloud services for chatbots, and tools like VectorDB and LangChain
- for LLM projects.
- Acquired substantial practical experience leveraging these technologies and platforms
Junior Research Associate
Manipal Institute of Technology
- Developed parallel corpora for Tamil to other Dravidian languages, creating NLP tools for linguistic data collection and
- analysis across domains like health, agriculture, education, and tourism.
- Learnt a lot about LLM and it’s limitations on Indian languages especially low resource languages.
Data Executive
Ashoka University
- Worked on diverse domains of data like ASI, PLFS, crime data, Mission Antyodaya and LGD codes contributing to the
- development of interdisciplinary and multidisciplinary datasets for the institutional data lake.
- Conducted large-scale web scraping, data cleaning, and data analysis to support research and decision-making processes.
Data Scientist
Learning Pathways
- Building scalable, multi-stage data pipelines to process large-scale job market data, integrating company-level information from Ministry of Company affairs, and extracting skills, salary, experience, and education attributes from job postings.
- Developing NLP tools using fine-tuned BERT models and taxonomy-based matching techniques to identify, extract, standardize, and map job skills to structured skill taxonomies.
- Developing and adapting a Salary Skill Criticality Network (SSCN) pipeline to model relationships between skills and estimate their market value.
- Implementing data validation, intermediate processing stages, caching, and pipeline health monitoring to improve data quality, processing efficiency, and scalability.
BS Data Science and Applications
Indian Institute of Technology Madras
Bsc Statistics
University of Madras
DP-600 (Implementing Analytics Solutions Using Microsoft Fabric)
Microsoft
Attendee · Oct 24, 2026