> AMAN RAMANAND SHARMA <
Driving AI-powered growth across data, product, and operations
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[IN] LINKEDIN |
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[CV] RESUME
[S] SKILLS
- Analytics
- Generative AI
- Machine Learning
- Software Development
- Product Management
[XP] EXPERIENCE
Analytics Lead
Flipkart, Karnataka, India · Apr 2023 – Present
- Mentored and led a team of 5+ analysts and engineers by orchestrating daily technical brainstorming and peer-reviews, optimizing supply chain performance and the prioritization of customer-first solutions.
- Built GenAI powered multi-agent Auto-RCA to diagnose WoW delivery breaches & pinpoint key operational
drivers. Integrated weather/festival/traffic signals, reducing analyst TAT 70%. (Link to paper).
- Conceptualized & implemented ”Repromise” charter, reducing customer anxiety while improving CES by 15% &
decreasing CTU by 8%
Business Analyst Intern
Flipkart, Bangalore, Karnataka, India · Apr 2022 – Aug 2022
- Worked on predicting delays in logistics leg of B2C supply chain consisting of 27M shipments/week
- Leveraged data & domain knowledge gained to build working MVP model & platform to asses different parameters
affecting delay such as historic capacity, congestions etc. in certain logistic routes.
- Mitigated Shipments’ Delays by ML Based Model (64% Accuracy) predicting early signs of delay making supply
chain more robust.
Senior Software Engineer
Persistent Systems, Goa, India · Sep 2018 – Jan 2021
- Designed automation, reporting and analysis tool for an American corporation's IT management team to monitor server metrics.
- Developed a POC application that improved user experience and reduced application load time by 45%.
- Led porting of a legacy project to the POC and resolved security issues while maintaining project integrity.
[EDU] EDUCATION
Post Graduate Diploma in Management – Big Data Analytics
Goa Institute of Management, Goa, India · Jun 2021 – Mar 2023
Bachelor of Engineering – Computer Engineering
Goa College of Engineering, Goa, India · Aug 2010 – Apr 2014
[PRJ] PROJECTS
SmartKart – Flipkart Minutes
Developed solutions to enhance customer experience in Flipkart's quick commerce hackathon, including automated and personalized shopping carts based on user-specific needs.
Tools: Python, SQL, JavaScript
[>] READ MORE
AI Plays Flappy Birds
Explored NEAT to train an agent to play Flappy Bird, building the game with Pygame and applying an evolutionary algorithm.
Tools: Python, Pygame, NEAT
[>] PROJECT REPOSITORY
Yoga Posture Classifier
Human posture classifier applied to yoga pose classification, using MoveNet to detect and classify yoga postures.
Tools: Python, TensorFlow, OpenCV, MoveNet, Keras
[>] PROJECT REPOSITORY
Scanwich – Catalog Solution
Improved food cataloguing services via descriptive and predictive analysis to classify customers, predict traffic and sales, and improve recommendations.
Tools: Python, NumPy, Pandas, Scikit-Learn, Matplotlib
[>] PROJECT REPOSITORY