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Data Scientist and AI/ML Engineer with hands-on experience deploying intelligent data systems, automation pipelines, and generative AI applications in enterprise environments at Indian Oil Corporation Limited (IOCL). Experienced across the full data science lifecycle: data collection, EDA, feature engineering, model development, and visualization. Worked extensively with computer vision (OpenCV, MediaPipe), OCR-based extraction, and event-driven automation, including building OCR data extraction and BI-style dashboards. Also built multimodal generative AI coaching and implemented AI identity verification/proctoring systems.…Data Scientist and AI/ML Engineer with hands-on experience deploying intelligent data systems, automation pipelines, and generative AI applications in enterprise environments at Indian Oil Corporation Limited (IOCL). Experienced across the full data science lifecycle: data collection, EDA, feature engineering, model development, and visualization. Worked extensively with computer vision (OpenCV, MediaPipe), OCR-based extraction, and event-driven automation, including building OCR data extraction and BI-style dashboards. Also built multimodal generative AI coaching and implemented AI identity verification/proctoring systems.

AYUSH GOEL

Data Scientist, AI Engineer, AI Prompt Engineer, +1

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Data Scientist and AI/ML Engineer with hands-on experience deploying intelligent data systems, automation pipelines, and generative AI applications in enterprise environments at Indian Oil Corporation Limited (IOCL). Experienced across the full data science lifecycle: data collection, EDA, feature engineering, model development, and visualization. Worked extensively with computer vision (OpenCV, MediaPipe), OCR-based extraction, and event-driven automation, including building OCR data extraction and BI-style dashboards. Also built multimodal generative AI coaching and implemented AI identity verification/proctoring systems.…Data Scientist and AI/ML Engineer with hands-on experience deploying intelligent data systems, automation pipelines, and generative AI applications in enterprise environments at Indian Oil Corporation Limited (IOCL). Experienced across the full data science lifecycle: data collection, EDA, feature engineering, model development, and visualization. Worked extensively with computer vision (OpenCV, MediaPipe), OCR-based extraction, and event-driven automation, including building OCR data extraction and BI-style dashboards. Also built multimodal generative AI coaching and implemented AI identity verification/proctoring systems.

Available to hire

Data Scientist and AI/ML Engineer with hands-on experience deploying intelligent data systems, automation pipelines, and generative AI applications in enterprise environments at Indian Oil Corporation Limited (IOCL). Experienced across the full data science lifecycle: data collection, EDA, feature engineering, model development, and visualization.

Worked extensively with computer vision (OpenCV, MediaPipe), OCR-based extraction, and event-driven automation, including building OCR data extraction and BI-style dashboards. Also built multimodal generative AI coaching and implemented AI identity verification/proctoring systems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Advanced

Hindi

Fluent

Amharic

Intermediate

Work Experience

Service Payment Alert Automation (PMS)

January 1, 2026 - January 1, 2026

Architected an event-driven automated alert system that evaluates unpaid services daily and sends categorized email reminders (Reminder/Overdue/Renewed) using cron scheduling and Nodemailer. Implemented MongoDB collections with compound indexes to support payment trend queries and time-series alert generation across users’ recurring portfolios. Added reporting exports (CSV/PDF) and an auto-renewal engine to advance billing cycles for subscriptions with auto-renew enabled, enabling near-zero manual intervention.

Information Systems Intern — Data & AI at Indian Oil Corporation Limited (IOCL)

August 1, 2025 - Present

Developed an end-to-end OCR data extraction pipeline for AC unit images to automatically parse temperature and humidity readings. Implemented multiple image preprocessing techniques (adaptive thresholding, Otsu binarization, histogram equalization, morphological noise reduction, contrast inversion) and evaluated Tesseract PSM configurations (psm 6, 7, 11, 13) to maximize accuracy across varied conditions. Built metadata extraction using EXIF timestamp parsing with regex fallback and OCR recovery from cropped regions, including smart error-correction for common OCR misreads, producing reliable timestamps for time-series analysis. Created an analytical SQLite store with Flask REST APIs for paginated, room-filtered history and automated PDF reporting with embedded image evidence. Achieved full automation of routine sensor monitoring, reducing manual logging from 15+ minutes/day to under 10 seconds per reading.

Hardware Analytics Dashboard (Project) at Indian Oil Corporation Limited (IOCL)

January 1, 2025 - Present

Designed a multi-level interactive BI dashboard for managing 500+ hardware assets across IOCL sites, enabling drill-down from location-level metrics to model-level views. Implemented aggregation APIs with real-time metrics computed from a normalized relational schema with strategic indexing. Built bulk upload and bulk assignment automation via Excel parsing to accelerate asset onboarding and provide insights into assigned vs unassigned assets for procurement decision-making.

Exam Proctoring Platform — AI Identity Verification & Behavioral Monitoring (Project)

January 1, 2025 - January 1, 2025

Built a remote proctoring system using face recognition for identity verification at login and randomized intervals during exams. Implemented behavioral surveillance via client-side restrictions (clipboard operations disabled), window-focus event logging with timestamps, and periodic audio amplitude sampling. Produced tamper-evident per-session audit trails, structured integrity datasets for post-exam review, and automated Q&A generation pipelines for professors along with a live student monitoring dashboard.