Varkey George

Data Scientist and Applied AI Developer with a strong foundation in translating complex operational data into deployable machine learning systems. Hands-on experience building computer vision pipelines, real-time tracking tools, LLM/RAG-based automation systems, and NLP-driven recommendation engines. Proven ability to bridge the gap between technical execution and real-world utility by transforming raw, unstructured video, text, and document data into practical, data-driven solutions for healthcare, sports analytics, and workflow automation.

Data Scientist (Trainee) at Luminar Technolab (2025-06 – 2026-02)

• Designed a markerless sports analytics pipeline that turns standard, everyday football footage into actionable biomechanical insights. By combining YOLO object detection with MediaPipe pose estimation, the system tracks player movements and flags critical ACL injury-risk indicators (like knee valgus collapse) without requiring expensive wearable sensors.
• Architected the automated data-processing engine behind the sports pipeline, transforming raw, chaotic video frames into clean, structured datasets. This low-cost workflow allows local sports academies to run scalable, sensor-free player screening and generates automated posture-risk visual reports for coaches.
• Built an intelligent NLP healthcare triaging system designed to decode unstructured, messy patient symptom descriptions and accurately route them to the right medical specialists. Engineered custom preprocessing text pipelines and optimized a Random Forest model via GridSearchCV to maximize classification accuracy.
• Streamlined clinical decision-making by integrating this NLP model into an automated specialist recommendation workflow, effectively reducing referral bottlenecks, cutting down consultation delays, and ensuring patients get right-care-at-the-right-time.

Data Analyst (Full-time) at Siniora Food Industries (2024-10 – 2025-05)

• Supported the company's transition to Power BI by developing automated dashboards and centralized reporting workflows, reducing manual reporting effort by approximately 30–50 percent while improving visibility into retail sales, pricing performance, and operational KPIs across multiple reporting functions.
• Performed retail sales, pricing, and promotional performance analysis to identify revenue optimization opportunities, contributing to monthly retail sales growth of approximately 15–40 percent during high-performing campaign periods through data-backed commercial insights and pricing visibility.
• Presented analytical findings and commercial performance insights to stakeholders through structured reports and interactive dashboards, enabling faster interpretation of sales trends, operational gaps, inventory movement patterns, and growth opportunities.
• Assisted in sales budgeting, forecasting, and KPI monitoring by analyzing historical sales trends, product-level performance, and commercial datasets to support data-driven planning, retail performance evaluation, and operational decision-making.

Growth Hacking Consultant at Clovers and Bugs (2022-01 – 2024-04)

• Analyzed large-scale marketing campaign and customer performance datasets to identify optimization opportunities, behavioral trends, and actionable insights supporting client acquisition and growth initiatives across digital marketing channels.
• Optimized digital advertising performance through data-driven keyword analysis, audience targeting refinement, and KPI tracking workflows, improving ROI, conversion efficiency, and campaign-level performance visibility.
• Designed structured analytical reports and performance presentations translating campaign data into clear, data-backed strategic recommendations for leadership and client stakeholders.
• Applied customer and engagement analytics to support initiatives focused on improving retention, campaign engagement, customer lifetime value, and performance optimization across multiple client accounts.

Analyst at Northern Trust (2020-03 – 2021-03)

• Ensured process integrity and compliance with internal controls, SLAs, and regulatory standards while supporting operational reporting and governance-focused workflows within investment operations functions.
• Maintained audit-ready documentation and reporting frameworks, reinforcing operational transparency, governance standards, and process traceability across business workflows.
• Conducted data-driven due diligence and operational analysis to support investment review processes, risk assessment activities, and reporting accuracy requirements.
• Partnered with senior analysts and cross-functional teams to resolve complex operational issues, improve reporting accuracy, and mitigate workflow-related risk exposures.
• Identified process gaps through structured data review and operational analysis, recommending improvements to SOPs and supporting continuous improvement initiatives across reporting and operational workflows.

Jr Tax Consultant at Jia Professionals (2019-02 – 2019-09)

• Collected, validated, and structured taxpayer financial data to ensure accurate reporting, downstream reconciliation accuracy, and compliance-focused financial documentation workflows.
• Conducted structured client interviews to gather detailed income, expense, deduction, and taxation data, improving reporting completeness and overall data quality.
• Entered, cross-verified, and reconciled financial records across multiple documentation sources to maintain high levels of reporting accuracy and data integrity.
• Applied rule-based logic and regulatory constraints to optimize deductions and credits while ensuring taxation compliance and reporting consistency.

Bachelor of Commerce in Finance And Tax – Rajagiri College of Management And Applied Sciences (2015-09 – 2018-06)