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Oindrila Pathak

@oindrilapathak

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Data analytics and machine learning student building predictive, graph-based sports and public-safety systems.

India

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What I'm looking for

I’m looking for a role where I can apply machine learning and graph analytics to real-world problems, build predictive systems end-to-end, and work with a team that values experimentation, measurable impact, and clean implementation.

I’m a data analytics and machine learning-focused graduate student, building systems that turn context into clear, actionable predictions. My work blends graph modeling, statistical weighting, and neural approaches to make performance insights both accurate and interpretable.

I designed a crime prediction and identification system leveraging AI, fuzzy logic, and computer vision to assist law enforcement and enhance public safety. I predicted danger levels, integrated face recognition for missing person identification, and automated filing and tracking of FIRs, GDs, and missing reports.

For sports analytics, I modeled T20 player performance using Neo4j, creating nodes and relationships for players, matches, and conditions. I merged multiple datasets (ESPN, Cricsheet, Howstat), executed Cypher queries for insights, implemented Bayesian updating for context-specific weights, and used MLP regression for match-wise scoring.

I’m driven by real-world impact and rigorous experimentation—whether it’s contextual graph features or fair normalization for performance evaluation. I’ve earned top academic and competition recognition, and I’m ready to contribute immediately in a research-minded engineering team.

Experience

Work history, roles, and key accomplishments

Current

Dynamic Performance Scoring

Current

University of Calcutta

Feb 2025 - Present (1 year 3 months)

Built a contextual, match-aware system to evaluate and predict cricket player performance and match scenarios using statistical and machine learning models. Merged ESPN, Cricsheet, and Howstat datasets, applied Bayesian updating for context weights, and used normalization/variance-based weighting with MLP regression for dynamic scoring and prediction.

Machine Learning Data Integration Data Normalization Variance Based Weighting MLP Regression Cricket Performance Prediction

Neo4j T20 Performance Model

University of Calcutta

Sep 2024 - Jul 2025 (10 months)

Modeled and evaluated T20I cricket player performances in Neo4j by capturing contextual relationships such as batting position, match situations, opponents, and ground conditions. Implemented graph nodes/relationships and used Cypher queries to extract performance insights.

Neo4j Cypher Data Modeling Cricket Analytics Contextual Relationship Modeling

Directors of Truth

Bethune College

Designed an AI + fuzzy logic + computer vision crime prediction and identification system to support law enforcement and improve public safety. Built features for danger-level prediction, missing-person face recognition, and automated filing/tracking of FIRs, GDs, and missing reports with real-time dashboards.

Computer Vision Crime Prediction Face Recognition Data Analysis Risk Scoring Information Management Dashboards

Education

Degrees, certifications, and relevant coursework

University of Calcutta

Bachelor of Computer Science, Computer Science

2020 - 2023

Activities and societies: CGPA: 8.35; used Neo4j/graph modeling and Cypher queries; selected as the 3 best paper in the AISC 2025 conference.

Earned a Bachelor of Computer Science from the University of Calcutta. Modeled and evaluated T20 cricket player performances using Neo4j with contextual relationships such as opponents and match situations.

Holy Child Institute

10th & 12th Grade, Secondary & Higher Secondary Education

2006 - 2020

Activities and societies: 10th: 82.57%; 12th: 83.20%.

Completed 10th and 12th grade at Holy Child Institute. Secured 82.57% in 10th grade and 83.20% in 12th grade.

Bethune College

Bachelor of Science

Activities and societies: Designed a crime prediction & identification system (AI, fuzzy logic, computer vision); integrated face recognition for missing persons; automated filing/tracking of FIRs, GDs, and missing reports.

Studied B.Sc. at Bethune College and developed an AI-based crime prediction and identification system using fuzzy logic and computer vision. Built features to support missing person identification and automate aspects of FIR/GD/missing report tracking.

University of Calcutta

Master of Computer Applications, Computer Applications

2023 - 2025

Activities and societies: CGPA: 9.08; built Neo4j nodes/relationships and Cypher query-based insights; received First Class First Position; won TechTonic Shift: The Analytics; runner-up: NEST; finalist: AI Horizon 2.0; integrated merged datasets and implemented Bayesian updating with custom scoring/prediction models.

Completed a Master of Computer Applications (MCA) at the University of Calcutta. Developed a cricket knowledge base using Neo4j to extract performance insights and supported performance scoring and prediction tasks.