Kashvi A Gupta

Partnerships Manager

Mumbai, Maharashtra, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Aspiring Data Scientist with strong AI and Data Science foundation.
Authored a comprehensive report on digital election technologies.
Active contributor in AI initiatives at SMLRA.

Stackforce AI infers this person is a Data Science and AI enthusiast with a focus on civic technology and digital governance.

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Skills

Core Skills

Machine LearningPolicy Analysis

Other Skills

Python (Programming Language)Digital Ecosystem Mappingk-means clusteringPandas (Software)Support Vector Machine (SVM)Linear RegressionObject-Oriented Programming (OOP)SeabornDecision TreesRandom ForestEthical AI AssessmentReporting & AnalysisPygameMERN StackNode.js

About

Pursuing a Bachelor of Technology in Artificial Intelligence and Data Science at KJ Somaiya College of Engineering, with foundational academic exposure complemented by certifications in Python for Data Science, AI, and SQL. Additional professional training in Data Science and Artificial Intelligence from IIT Roorkee supports technical expertise in statistics, data visualization, and Matplotlib. Actively contributing as an FY Representative at Somaiya Machine Learning Research Association (SMLRA), collaborating on AI and data science initiatives. Dedicated to bridging academic knowledge with practical applications and fostering growth in the dynamic fields of artificial intelligence and data science.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Vigorousone

Strategy & Operations Intern

Dec 2025 – Feb 2026 · 2 mos · Mumbai, Maharashtra, India · Remote

Authored a comprehensive, governance-focused research report titled “Study on Digital & Emerging Technologies for Election Management (India & Global)” covering Municipal, Panchayat, Assembly, and Parliamentary elections.
Conducted structured comparative analysis of digital ecosystems across State Election Commissions, the Election Commission of India, and global democracies.
Mapped digital systems across the full election lifecycle — voter rolls, compliance monitoring, logistics, results dissemination, and post-election audits.
Identified structural gaps in Indian electoral digitisation, including fragmented state infrastructure, limited interoperability, and lack of analytical capabilities.
Evaluated digital tools through a governance-first lens — fairness, transparency, accountability, efficiency, and public trust.
Delivered policy-aligned recommendations balancing technological innovation with democratic safeguards and institutional legitimacy.

Policy AnalysisDigital Ecosystem Mapping