Muskan K.
Junior Data Scientist
Open to offersNew to PlatformAbout
Muskan K, a detail-oriented Data Scientist based in Bangalore, Karnataka, has honed her technical skills through significant internship experience and a top-performing academic record. Proficient in Python and SQL, she excels in machine learning and statistical modeling, focusing on end-to-end ML pipelines, EDA, and data visualization using Tableau. Muskan completed her PGP in Data Science & Business Analytics at the Great Lakes Institute of Management in collaboration with UT Austin, graduating in the top 10% of her cohort. During her internship with Persevex, she independently delivered production-ready prediction projects like customer churn and employee attrition prediction, achieving over 97% accuracy. Her project work includes building comprehensive analytical solutions and dashboards, further demonstrating her ability to translate technical insights to non-technical stakeholders. Her educational accolades include a Bachelor of Commerce from Bangalore University and top performance awards, underlining her commitment to academic excellence and practical impact in the fields of data science and analytics.
Experience
Data Science Intern
Persevex · 2025 — 2026Completed structured ML training; independently delivered two production-ready prediction projects that spanned the full pipeline from data cleaning to model serialization. Focused on Customer Churn Prediction utilizing 11,260+ records with KNN imputation and SMOTE oversampling, tuning an SVM for a performance of 97.09% accuracy and 93.7% recall. For Employee Attrition Prediction, handled 14,999 records, applying feature engineering and SMOTE, resulting in an XGBoost with 98.4% accuracy and 95.9% recall. Employed SHAP for model interpretability, determining key drivers such as employee satisfaction and tenure, along with contract type and tenure as significant churn factors. Serialized final models to .pkl files for deployment using Python's pickle library.Customer Churn Prediction
Capstone Project – Great Lakes / UT Austin · 2025 — 2025Developed an end-to-end pipeline employing a structured customer dataset which involved data cleaning, exploratory data analysis, feature engineering, and model comparison across six algorithms, achieving a test accuracy of 96.76% along with an AUC-ROC of 0.9552. Identified contract type, tenure, and monthly charges as primary churn factors.Shinkansen Travel Experience Analytics
Hackathon – Great Lakes · 2025 — 2025Analyzed over 100K passenger records and engineered features from travel and survey data, achieving a test accuracy of 92.9%. Built Tableau dashboards for presenting operational insights to non-technical stakeholders, ranking as a top performer in the hackathon.INN Hotel Booking Cancellation Prediction
Academic Project · 2025 — 2025Predicted cancellation likelihood using Decision Tree methodologies while performing exploratory data analysis that revealed seasonal patterns and the impact of lead time. Attained 86.22% accuracy and a F1-Score of 78.89%, providing recommendations for an overbooking strategy.
Skills & Expertise
Education
- PGP – Data Science & Business AnalyticsGreat Lakes Institute of Management (with UT Austin) · 2024 — 2025
- Bachelor of Commerce (B.Com)Bangalore University · 2021 — 2024
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