
Data Science with 1+ years in Data Analysis & Machine Learning
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Data Science enthusiast with 1.1 years of experience in data analysis, machine learning, and business intelligence. Proven ability to develop predictive models, automate reporting workflows, and translate complex data insights into actionable business strategies. Skilled in Python, SQL, Power BI, and various data analysis and visualization tools, eager to contribute to data-driven decision-making in a dynamic environment.
K J Somaiya School of Engineering
B.Tech · Computer Engineering with Hons in Data Science
N/A – Present
Stractive Consulting(Oracle Partner)
Oracle EPM Consulting Intern
January 1, 2026 – June 1, 2026
India
Bank Of India (Under Gov of India)
Data Science Intern
May 1, 2025 – August 1, 2025
India
Amazon Reviews ETL & Bias Analysis
June 28, 2026 – Present
Processed and analyzed 50,000+ Amazon customer reviews to identify rating bias patterns and surface actionable consumer sentiment insights across product categories. Conducted structured bias detection and trend analysis, translating large-scale review data into business recommendations applicable to product strategy and customer experience decisions.
Customer Churn Prediction
June 28, 2026 – Present
Identified key drivers of customer churn by analyzing 10,000+ customer records across 20+ customer attributes, translating behavioral patterns into actionable retention strategies. Developed a churn prediction model achieving 90% accuracy, enabling early identification of at-risk customers and supporting data-driven retention decisions. Built a real time risk scoring application enabling business users to identify at-risk customers instantly, simulating a production-ready retention decision tool.
Big Data Modeling and Management Systems
University of California San Diego through Coursera
June 1, 2026 – Present
Data Analysis and Visualization with Power BI
Microsoft through Coursera
June 1, 2026 – Present
Excel/VBA for Creative Problem Solving
University of Colorado Boulder and offered through Courser
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships show a strong alignment with data-driven roles. The diversity of projects (customer churn, Amazon reviews, credit risk) and exposure to both financial and consulting environments suggest adaptability. The certifications further indicate a proactive learning attitude, which aligns well with a growth-oriented culture.
Soft Skills & Operational Fit
The candidate demonstrates structured problem-solving, analytical thinking, and communication skills through project descriptions and internship responsibilities. Their experience in presenting findings to senior stakeholders and supporting UAT indicates good operational fit and collaboration potential.