Sapna Vijay

Software Engineer

Kota, Rajasthan, India2 yrs 8 mos experience

Key Highlights

Top 10 national finalist in Muthoot Finclusion Challenge.
Developed AI solution for e-commerce size recommendations.
Led yield improvement study saving over 10 million INR.

Stackforce AI infers this person is a Software Development Engineer with a focus on Fintech and E-commerce solutions.

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Skills

Core Skills

Product ManagementSoftware DevelopmentData AnalysisOperations ManagementMarketing

Other Skills

Analytical SkillsCommunicationGo-to-Market StrategyGraphic DesignJupyterManagementMarket AnalysisOpenCVOrganization SkillsProblem SolvingProduct DevelopmentProduct OperationsProject ManagementPythonTeamwork

About

I am a B.Tech student at IIT Roorkee, majoring in Metallurgical and Materials Engineering, set to graduate in April 2025. With a strong interest in Programming and Data Structures, I am an aspiring Software Development Engineer passionate about building innovative solutions.

Experience

Ukg

Software Engineer

Aug 2025 – Present · 7 mos · Noida, Uttar Pradesh, India · Hybrid

The muthoot group

National Finalist - Muthoot Finclusion Challenge 2025

Jan 2025 – Mar 2025 · 2 mos

I had the opportunity to work on a real-world business case for Muthoot Finance, focused on increasing youth engagement at their branches. We built a comprehensive product strategy deck after extensive user research, market analysis, and iterative brainstorming. Our efforts placed us among the Top 10 teams nationally. The experience taught me how to structure product thinking around real user needs while aligning with business goals and stakeholder expectations.

Flipkart

National Runner-up Flipkart Grid 6.0

Aug 2024 – Oct 2024 · 2 mos

I had the incredible opportunity to work on an AI-powered solution during Flipkart GRiD 5.0, where our challenge was to build a Size Chart Generator for Apparel Sellers—an intelligent tool that could automatically give accurate size recommendations from body measurements.
Over the course of the competition, I collaborated with my teammate to develop a system using a k-means clustering model and an image detection model based on OpenCV and TensorFlow to extract relevant measurements and predict sizing information with high accuracy.
The experience was both technically enriching and creatively fulfilling, and I’m proud to have contributed to a solution that could genuinely enhance the e-commerce experience for sellers and shoppers alike.

Tata steel

Management Trainee

May 2024 – Jul 2024 · 2 mos · Kharagpur, West Bengal, India · On-site

At Tata Steel, I led a Yield Improvement Study to reduce scrap loss in ductile iron pipes. Analyzing real-time data, I implemented data-driven interventions that reduced annual scrap by 22,000 tons, that could have generated annual savings of over 10 million INR. This experience enhanced my skills in data analysis and problem-solving within industrial environments.

Data AnalysisProblem Solving