Ankit Sharma

Manager - Inventory Optimization @United Airlines

Gurugram, HR, IN
MOBILE NUMBERS
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WORK HISTORY

Dec 2023 — Present

Manager - Inventory Optimization @United Airlines

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Gurugram, IN

Lead end-to-end development of ML-driven forecasting and inventory optimization platforms supporting $700M–$1.4B in aviation assets• Drove transition from heuristic-based planning to forecast- and risk-based frameworks, improving inventory accuracy and decision confidence• Established model evaluation, backtesting, and governance standards (MAE, SMAPE, bias) for executive-ready decision making• Partner closely with planners, engineering, and operations teams to translate ML outputs into actionable inventory strategies, improving adoption• Mentor and guide data scientists and engineers to move models from experimentation to production-grade systems

EDUCATION

2011 — 2015

Krishna Institute of Engineering & Technology

Engineer’s Degree, Information Technology

SKILLS

PowerpointMicrosoft ExcelSqlLinuxData StructuresCssLeadershipDbmsCore JavaCMicrosoft OfficeOopMysqlMicrosoft WordAnchorsHtml

ABOUT ANKIT SHARMA

Data Science Manager with 10+ years of experience building and scaling ML-driven decision systems across Aviation, Finance, and Life Sciences.I specialize in forecasting, inventory optimization, and translating complex ML outputs into operational decisions at enterprise scale. Currently leading inventory optimization initiatives at United Airlines, managing $700M–$1.4B in assets while balancing service levels, cost, and risk.What I do best:• Build end-to-end forecasting and optimization platforms (from problem framing → production)• Replace heuristic planning with forecast- and risk-based ML frameworks• Establish model governance, evaluation, and monitoring (MAE, SMAPE, bias)• Partner with planners, engineers, and leadership to drive adoption and trustTech & Tools: Python, PySpark, SQL, ML (regression, classification, time series), MLOps, Feature Stores, Cloud (Azure, GCP, AWS)I’m interested in roles where data science directly influences business decisions — especially in large-scale operations, supply chain, and platform-driven environments.

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