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Data Science with less than a year in Python, SQL & Machine Learning.
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Assessing your cultural and operational fit
Strong foundation in Python, SQL, and Machine Learning, with analytical and problem-solving skills for working with data and extracting meaningful insights. Passionate about learning new technologies and applying data-driven approaches to solve real-world problems.
Bundelkhand University, Jhansi
M.C.A
August 1, 2023 – June 30, 2026
Bundelkhand University, Jhansi
B.C.A
August 1, 2020 – June 30, 2023
Meritshot
Data science Intern
August 1, 2025 – November 1, 2025
India
Customer Churn Analysis
March 1, 2026 – April 1, 2026
Analyzed behavior of 7,043 telecom customers to identify churn patterns based on tenure, contract type, and monthly charges. Engineered new features and handled class imbalance to improve segmentation and insights. Built and evaluated multiple classification models for churn prediction; Random Forest achieved the best performance with 85% accuracy. Revealed that 38% of churned users were on monthly contracts with less than 3-month tenure – suggested early engagement strategies.
View ProjectMovie Recommendation System
February 1, 2026 – March 1, 2026
Built an interactive content based movie recommender system using TMDb 5000 movie dataset. Utilized cosine similarity to calculate similarity matrix for efficient recommendation and integrated TMDb API to fetch movie details. Designed and deployed streamlit based web app for intuitive and interactive user experience.
View ProjectE-commerce Customer Segmentation
December 1, 2025 – January 1, 2026
Performed RFM analysis (Recency, Frequency, Monetary) on e-commerce transaction data to understand customer. Applied K-Means clustering and used Elbow Method to determine optimal number of customer segments. Identified key segments such as high-value and at-risk customers, generating insights for targeted marketing strategies.
Accenture virtual Data Analytics internship
Forage
June 1, 2026 – Present
Python, SQL skill Certificate
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse areas within data science (churn prediction, customer segmentation, recommendation systems), indicating a broad interest and willingness to explore different problem domains. The internship at Meritshot and certifications suggest a proactive approach to skill development and practical application, which aligns with a growth-oriented culture. However, the experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates good problem-solving skills and a passion for learning new technologies. The project descriptions indicate an ability to work through data science workflows from data processing to insight generation and model deployment. The internship experience suggests an ability to contribute to weekly analytics and document technical work.