Data Analyst Machine Learning

DATA ANALYST

VARSHITH KUMAR GUNDLA

203-***-**** ************@*****.*** http://linkedin.com/in/varshith-kumar-gundla-3a2006236 PROFESSIONAL SUMMARY

Passionate and driven IT graduate with a foundation in Python, ML, SQL, C, and C++, along with a strong understanding of basic data structures and algorithms. Gained hands-on experience through academic and personal projects, particularly in backend development, scripting, and database handling using MongoDB. Familiar with Power BI and data visualization concepts through coursework. Motivated to contribute to software and data-focused teams while continuing to grow as a developer, analyst, or IT professional. TECHNICAL SKILLS

• Programming Languages: Python, C, C++

• Machine Learning: Supervised & Unsupervised Learning, Regression, Classification, Pandas, NumPy

• Frontend Technologies: HTML, CSS, JavaScript

• Databases: SQL, MongoDB

• Data Visualization: Power BI

• Version Control: Git, GitHub

• Other Tools: MS Excel, MS Word

• Operating Systems: Windows, Linux

• Concepts: Data Structures

• Software Development Life Cycle (SDLC): Knowledge of phases including requirements gathering, design, development, testing, deployment, and maintenance. PROJECTS

Numeric Data Manager – Python GUI Tool -JANUARY 2025

* Designed and implemented a Python-based GUI application to manage numerical data within text files.

* Utilized Tkinter for a user-friendly interface, enabling operations such as file creation, reading, sorting, searching, and appending random numbers.

* Incorporated error handling, input validation, and basic encryption/decryption functionality.

* Strengthened skills in Python scripting, GUI development, and file I/O operations. Personal Finance Tracker – Full Stack Web -NOVEMBER 2024

* Gained hands-on experience building a Personal Finance Tracker that fetches transaction data via API

(account type, amount, category, date, etc.).

* Developed the frontend using Vue.js and styled it with HTML/CSS; created backend services with Node.js and MongoDB.

* Implemented basic features to track income and expenses, categorize transactions, and display financial history.

* Strengthened understanding of full-stack development, REST APIs, and managing financial data. HEART STROKE PREDICTION-MINI PROJECT- JANUARY 2022 - FEBRUARY 2022

*Collected and prepared healthcare data by cleaning, encoding, and scaling features.

*Analyzed the data using correlation and visual tools to find patterns related to stroke risk.

*Used Python libraries like Pandas, Seaborn, and Scikit-learn for data processing and exploration.

*Prepared the dataset for machine learning by splitting it into training and testing sets. EDUCATION

University of New Haven – West Haven, CT

Master of Science in Computer Science Graduated -May 2025 GPA: 3.47/4.0 Bharath University – Chennai, India

Bachelor of Technology in Computer Science And Engineering 2019-2023 GPA: 8.96/10.0 CERTIFICATIONS

• JavaScript for Beginners – Simplilearn

• Machine Learning Internship – UNIQ Technologies,INDIA

• C Programming – Sololearn

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