Mandar Satpute

Data Scientist

[ PROFESSIONAL SUMMARY ]

Computer Science graduate with practical experience in data science through internship-based projects. Proficient in data preprocessing, EDA, and implementing machine learning models using Python. Built a Spam Email Detection System, demonstrating skills in model development, evaluation, and real-world problem solving. Strong foundation in algorithms and a keen interest in turning data into actionable insights.

[ CORE COMPETENCIES ]

  • - Data Analysis & Interpretation
  • - Data Manipulation
  • - Communication
  • - Problem Solving
  • - Analytical Reasoning
  • - Data Visualization
  • - Critical Thinking
  • - Collaboration & Teamwork
  • - Self-Motivated

[ WORK EXPERIENCE ]

Externsclub Pvt Ltd.

Data Science Intern

Oct 2023 - Nov 2023

Remote

  • - Performed data preprocessing and cleaning using Pandas and NumPy to prepare datasets for analysis and modeling.
  • - Conducted exploratory data analysis (EDA) to uncover trends, patterns, and insights using visualization tools like Matplotlib and Seaborn.
  • - Implemented both supervised (e.g., logistic regression, decision trees) and unsupervised (e.g., k-means clustering) machine learning algorithms to derive predictions and classifications.
  • - Developed a Spam Email Detection System using Python and Scikit-learn, involving data preprocessing, feature extraction (TF-IDF), model building, and validation.
  • - Applied real-world data science principles to solve business problems and gained hands-on experience in the end-to-end machine learning pipeline.

[ PROJECTS ]

Externsclub Pvt Ltd.

Spam Email Detection System:

  • - A virtual system designed to proactively detect incoming spam emails.
  • - Developed using Python and data analytics techniques, the system classifies emails as spam or ham based on supervised machine learning and natural language processing.
College Projects

Library Management System:

  • - An online platform that enables users to search, borrow, and manage books efficiently.
  • - Designed to reduce issues related to book unavailability and streamline library operations through a user-friendly digital interface.

Face Recognition Attendance System:

  • - An automated solution for streamlining attendance tracking using facial recognition technology.
  • - Designed for educational institutions and organizational environments to enhance accuracy, reduce manual errors, and save time.

[ CERTIFICATIONS ]

  • - Python Programming - MSME TDC
  • - Core Java Programming - CAD-DESK
  • - Python Essentials 2 - Cisco Networking Academy
  • - Microsoft Azure DP-900 (Pursuing)
  • - IBM Data Science Professional Certificate (Pursuing)

[ TECHNICAL SKILLS ]

  • - Programming Languages: Python, SQL, Java
  • - Libraries & Frameworks: NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn
  • - Machine Learning: Supervised & Unsupervised Learning, Model Evaluation (Accuracy, Precision, Recall, F1-score)
  • - Data Visualization: Matplotlib, Seaborn, Power BI / Tableau
  • - Statistical Concepts: Hypothesis Testing, Probability Distributions, Correlation, Regression Analysis
  • - Tools & Platforms: Jupyter Notebook, Google Colab, GitHub, MS Excel
  • - Database Management: PostgreSQL (Joins, Aggregations, Subqueries)
  • - Cloud & Deployment: Microsoft Azure, AWS

[ EDUCATION ]

  • - Bachelor of Engineering in Computer Science

    Prof. Ram Meghe College of Engineering and Management, Amravati University

    Dec 2021 - June 2025

    Amravati, Maharashtra

  • - Maharashtra State HSC, Amravati Division

    Bharat Junior College

    June 2020 - May 2021

    Buldana, Maharashtra

[ ACHEIVEMENTS & ACTIVITIES ]

Published Research Paper at IEEE Conference (April 2025):
  • - Enhancing Accessibility: A Real-Time Mobile Application for Visual Narration and Text Recognition for Visually Impaired” - Focused on developing an assistive mobile application using real-time image processing, text recognition, and voice-based feedback to aid visually impaired users