Asritha Parvathala
@asrithaparvathala
I turn complex data and AI outputs into actionable business insights and evaluation systems.
IndiaWhat I'm looking for
I'm a Computer Science student at VIT Chennai who applies structured, data-driven analysis to business and analytical problems through internships and projects.
At Infosys Virtual Springboard, I evaluated contract-risk outputs across Legal, Finance, Compliance, and Operations, then built metrics and Tableau dashboards to support faster iteration. At CADS Chennai, I analyzed EEG brainwave data using EDA and feature engineering, reducing preprocessing time by 35%.
I've also designed a context-aware Generative AI assistant during my IBM internship and translated dataset findings into accessible visualizations for non-technical stakeholders at CodSoft.
My projects include a 99K+ order e-commerce retention analysis, an LLM multi-model evaluation pipeline, and CLAUSE.AI, a multi-agent contract-risk system that achieved 82% classification accuracy. I enjoy turning complex datasets and AI outputs into clear recommendations, dashboards, and practical next steps.
Experience
Work history, roles, and key accomplishments
Evaluated contract-risk outputs across 4 business domains and built evaluation metrics and Tableau dashboards to track output quality and throughput.
Research Intern
CADS
May 2025 - Dec 2025 (7 months)
Analyzed EEG brainwave data through EDA and feature engineering, improving feature extraction efficiency and reducing preprocessing time by 35%.
Studied user interaction patterns to design a context-aware Generative AI assistant, applying sentiment analysis and mood tracking to translate user inputs into personalized guidance.
Data Science Intern
CodSoft
May 2025 - Jun 2025 (1 month)
Analyzed datasets to surface key predictive drivers and built visualizations to make complex findings easier to interpret for non-technical stakeholders.
Education
Degrees, certifications, and relevant coursework
Vellore Institute of Technology
B.Tech, Computer Science Engineering
2023 -
Grade: 8.65/10
Pursuing a B.Tech in Computer Science Engineering with a GPA of 8.65/10, expected to graduate in 2027.
Narayana Group of Schools
Class XII
Grade: 83%
Completed Class XII with a percentage of 83%.
Narayana Group of Schools
Class X
Grade: 89%
Completed Class X with a percentage of 89%.
Stanford University
Stanford Machine Learning, Machine Learning
Completed the Stanford Machine Learning certification.
IBM
IBM Generative AI, Generative AI
Completed the IBM Generative AI certification.
AWS Academy
AWS Academy Cloud Foundations, Cloud Computing
Completed the AWS Academy Cloud Foundations certification.
Infosys
Infosys – NLP, Natural Language Processing
Completed the Infosys NLP certification.
AWS
AWS Cloud Practitioner, Cloud Computing
Completed the AWS Cloud Practitioner certification.
AWS
AWS Solutions Architect, Cloud Architecture
Completed the AWS Solutions Architect certification.
IBM
IBM Data Analyst Professional Certificate, Data Analysis
Completed the IBM Data Analyst Professional Certificate.
Availability
Location
IndiaAuthorized to work in
Salary expectations
Skills
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