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Data Science with less than a year in data analytics, business intelligence, and product development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated and results-oriented professional currently pursuing a B.Tech in Biomedical Engineering with concentrations in Product Development and Data Analytics. Possesses strong analytical skills in Python, SQL, and Power BI, applied to real-world projects like eCommerce Revenue Analytics and Zepto Inventory Management. Experienced in data cleaning, EDA, customer segmentation, and interactive dashboard creation, complemented by practical experience in business development and leadership roles. Committed to leveraging data-driven insights to optimize business performance and drive strategic initiatives.
St. Arnold's Hr. Sec. School (CBSE)
Class 12th
N/A – June 1, 2021
Shri G. S. Institute of Technology & Science (1952)
B.Tech · Biomedical Engineering
N/A – May 1, 2026
St. Arnold's Hr. Sec. School (CBSE)
Class 10th
N/A – June 1, 2019
IndhanPay
Apprentice
October 1, 2023 – May 1, 2024
Indore, Madhya Pradesh, India
AIESEC India
Jr. Manager | Business Development
August 1, 2023 – January 1, 2024
Indore, Madhya Pradesh, India
eCommerce Revenue Analytics
May 1, 2026 – June 1, 2026
Developed an end-to-end customer analytics pipeline for a B2C online shopping platform, using Python 3, PostgreSQL, and Power BI, processing and analyzing 3,900+ retail transactions across 18 behavioral and demographic attributes. Performed data cleaning, missing-value imputation, exploratory data analysis (EDA), and database integration to improve data quality and enable scalable analytical workflows. Designed and executed 10+ business-focused SQL analyses covering customer segmentation, loyalty patterns, subscription behavior, revenue contribution, product performance, and discount effectiveness. Built an interactive Power BI dashboard to track KPIs and visualize customer segments, purchasing trends, and business performance, that supported customer retention, targeted marketing, subscription growth, and product strategy optimization.
Zepto Inventory Management
November 1, 2025 – December 1, 2025
Architected a relational schema in PostgreSQL using precise numeric and serial data types, managing high-density SKU data streams and resolving pipeline ingestion bottlenecks by correcting UTF-8 encoding failures. Optimized inventory valuation by automating data cleanup and using advanced window functions and conditional segmentation blocks to analyze stock segments.
Python and SQL for Data Science
Scaler Academy
June 1, 2026 – Present
Artificial Intelligence Fundamentals
IBM
June 1, 2026 – Present
Microsoft Power BI for Advanced Data Transformations
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a strong alignment with data science methodologies and tools. Participation in activities like IEEE Student Research Conclave and certifications in AI and Data Science indicate a proactive learning attitude and interest in the field. However, the professional experience is primarily in business development and operations, which, while demonstrating transferable skills, does not directly align with a technical data science role. The breadth of skills is good for an entry-level candidate, but the depth in core data science areas needs further validation.
Soft Skills & Operational Fit
The candidate demonstrates organizational and leadership skills through roles at AIESEC India and Club Kshitij. Experience in managing pipelines and optimizing sales funnels suggests a results-oriented approach. The IndhanPay apprenticeship indicates an ability to improve operational efficiency. These experiences, while not directly technical, show a capacity for structured problem-solving and collaboration, which are valuable in a data science role.