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AI Engineer with 1+ years in data science, logistics optimization & GenAI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Operational Research graduate with internship experience in data science and logistics optimisation. Skilled in predictive modelling, MIP/VRP, and Gen AI/RAG tooling. Delivered BI dashboards and forecasting systems at growth-stage companies.
Ramjas College, University of Delhi
M.Sc. · Operational Research
January 1, 2023 – September 1, 2025
Shaheed Rajguru College, Delhi
B.Sc. · Physics
January 1, 2018 – January 1, 2021
Loom Solar Pvt. Ltd.
Data Science Intern
December 1, 2024 – May 1, 2025
Delhi, Delhi, India
Ridobiko Solutions Pvt. Ltd.
Operations Analyst Intern
June 1, 2024 – December 1, 2024
Delhi, Delhi, India
Mathematics Mentor
Quant Faculty & Private Tuition
October 1, 2021 – September 1, 2023
Delhi, Delhi, India
Supply Chain VRP Optimisation
June 1, 2026 – June 1, 2026
Formulated multi-echelon VRP using MIP; solved with Gurobi.py and greedy VNS heuristic for large instances. Validated via sensitivity analysis and geo-demand modelling.
Al Data Analyst Tool (RAG)
June 1, 2026 – June 1, 2026
LLM-powered tool converting natural language to Python/SQL via Graph RAG; fully local using Ollama.
Telco Churn Prediction
June 1, 2026 – June 1, 2026
Trained Random Forest on 7K+ records achieving 78% accuracy; identified key churn drivers via confusion matrices.
Supply Chain Dashboard
June 1, 2026 – June 1, 2026
Power BI suite tracking $24.1M revenue and 46K units; visualised logistics efficiency and product profitability.
CB1
Institute of Actuaries of India (IAI)
June 1, 2026 – Present
Data Science Fundamentals
Scaler Academy
June 1, 2026 – Present
Business Intelligence using Power BI
Skill Nation
June 1, 2026 – Present
ACET
Institute of Actuaries of India (IAI)
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic background in Operational Research and Physics, combined with internships in data science and operations analysis, indicates a strong analytical and problem-solving mindset. Their project diversity, ranging from supply chain optimization to AI data analysis tools and churn prediction, shows adaptability and a broad interest in applying AI/ML across different domains. The target role of AI Engineer aligns well with their demonstrated skills in Gen AI, RAG, and predictive modeling. The academic nature of most projects, however, suggests a need to validate experience in production-grade systems.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, business communication, and result-oriented skills through project descriptions and internship responsibilities. Their experience in curriculum design and student progress tracking as a mentor also suggests good organizational and communication abilities. The focus on operational efficiency and data-driven decision-making aligns well with practical application in an engineering role.