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Data Science with less than a year in Machine Learning & Business Analytics
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Highly motivated and results-driven Business Analyst Intern and Machine Learning Intern with 8 months of experience. Skilled in data analysis, machine learning model development, and strategic dashboard creation. Eager to leverage strong analytical and technical skills to drive impactful business decisions and solve complex data challenges.
Delhi Technological University (Formerly DCE)
Bachelor of Technology · Engineering Physics (Minor in Computer Science)
August 1, 2022 – June 30, 2026
Abhinav Public School, Delhi
CBSE (Class XII)
N/A – May 31, 2021
St. Angel's School, Delhi
CBSE (Class X)
N/A – May 31, 2019
Clear
Business Analyst Intern
January 1, 2026 – Present
Bengaluru, Karnataka, India
REFO
Machine Learning Intern
May 1, 2024 – June 1, 2024
Noida, Uttar Pradesh, India
Customer LTV & Churn Intelligence System
June 16, 2026 – Present
Engineered RFM behavioral features from 25,000+ transactions to build an XGBoost churn model; achieved 0.70 ROC-AUC with Precision-Recall threshold optimization, improving minority-class recall on an imbalanced dataset (8.9% churn rate). Implemented probabilistic CLV estimation using BG/NBD and Gamma-Gamma models, identifying 716 high-value customers at high churn risk representing $93K+ in projected revenue to enable data-driven retention prioritization. Deployed an end-to-end ML pipeline via an interactive Streamlit dashboard featuring a churn-risk heatmap and ROI Simulator with discount impact modeling, translating complex stochastic outputs into actionable business strategy.
Loan Prediction Machine Learning Project
June 16, 2026 – Present
Implemented advanced machine learning algorithms to create a robust model predicting loan allotment, significantly improving the traditional decision-making process by 30%. Conducted data cleaning, normalization, and feature selection on a dataset of over 600 entries from Kaggle, optimizing model input quality and achieving an accuracy rate above 80%.
View ProjectTop 10 of the EP 2022-2026 batch.
Unknown
June 1, 2026 – Present
Secured 14th position out of 900+ participants in Code Fusion 2.0 Hackathon organized by Chandigarh University.
Chandigarh University
June 1, 2026 – Present
Accepted in the McKinsey Forward Fellowship Program.
McKinsey
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background, diverse project portfolio (customer LTV, loan prediction), and internships (Business Analyst, ML Intern) indicate a proactive and versatile individual. Participation in a hackathon and acceptance into the McKinsey Forward Fellowship Program suggest a drive for continuous learning and engagement, which aligns well with a dynamic, growth-oriented culture. The blend of technical and business-oriented roles shows adaptability and a holistic view of problem-solving.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their project work, particularly in identifying discrepancies and optimizing processes. Their ability to work in teams (REFO internship) and manage end-to-end operations (Clear internship) suggests good operational fit. The detailed descriptions of their projects and internships indicate a results-oriented approach and an understanding of business impact.