Mansi Sanjay Chandgude

Computer Engineering student · Data Analyst / BI / Data Science intern

Pune, Maharashtra, India

@mansi_chandgude07

LinkedIn GitHub

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🎓 B.E. Computer Engineering at Savitribai Phule Pune University · Graduating 2027

About

Data-focused Computer Engineering student with two data internships totaling 5 months in Power BI dashboard development and Python-based data analysis. Experienced in SQL, Python, Excel, Power BI, data cleaning, EDA, and supervised machine learning, with projects spanning churn prediction and business dashboards.

Experience

Power BI Intern

Microsoft Elevate (AICTE)

Feb 2026 – Mar 2026

Built 3 interactive Power BI dashboards delivering custom credit insights across 4 key KPIs, enabling stakeholders to track performance and make data-driven decisions. Performed data modeling and data transformation in Power BI to prepare clean, reliable datasets for reporting and analysis. Analyzed data trends and presented actionable insights to support business decision-making.
Data Science Intern

Perseverex · Pune

Oct 2025 – Dec 2025

Cleaned and preprocessed datasets using Python, Pandas, and NumPy to improve data quality for exploratory data analysis. Performed EDA and built basic supervised machine learning models to support predictive analytics. Created data visualizations to communicate analytical findings clearly to the team and support data-driven decisions. Collaborated with data engineers to improve data quality and data integrity processes.

Education

2027

B.E.

PDEA's College of Engineering, Manjari, Pune

Awarded by Savitribai Phule Pune University

Computer Engineering · Jun 2023 – Jun 2027

Computer Engineering · Jun 2023 – Jun 2027

Skills

3 to 6 months

Data Cleaning Data Preprocessing Data Visualization Exploratory Data Analysis

<3 months

SQL NumPy Python Pandas XGBoost Reporting Data Quality Data Modeling Classification Decision Trees Data Engineering Model Evaluation Linear Regression Feature Engineering Supervised Learning Predictive Analytics Statistical Analysis Dashboard Development Logistic Regression ( in progress )

Tools / apps / platforms

<3 months

Microsoft Excel Google Analytics Jupyter Notebook Microsoft Power BI

Projects

Data Cleaning & Dashboard ↗

Python, Power BI

Cleaned and transformed a dataset of approximately 3,000 records in Python, including missing value handling, to create analysis-ready data. Built Power BI dashboards on the cleaned data to surface credit insights and support business decision-making.
Customer Churn Prediction ↗

Python, XGBoost, Logistic Regression

Built and compared 3 supervised classification models in Python (XGBoost, Logistic Regression, Decision Tree) to predict customer churn and identify at-risk customers. Applied data preprocessing and feature engineering, then evaluated all 3 models on a 3,186-record test set, achieving 88% accuracy with 0.91 precision, 0.86 recall, and 0.88 F1-score for churn.

Courses & certifications

Google Analytics Certification · Google · 2026
Career Essentials in Generative AI ↗ · Microsoft & LinkedIn · 2025
Python for Data Science ↗ · Cognitive Class · 2025
SQL and Relational Databases ↗ · Cognitive Class · 2025

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