Stack Developer Data Analytics

SRI CHAMARTHI

Denton, TX 940-***-**** linkedin.samhitha, portfolio_website *************@*****.*** PROFESSIONAL PROFILE

Detail-oriented and results-driven graduate student with a strong foundation in data analytics and Visulaization. Highly skilled in data collecting, analyzing & reporting, data visualization tools with the ability to design clear and impactful dashboards and support data driven decision-making in a virtual environment. CORE COMPETENCIES

Analytical & problem solving Attention to Detail Communication Independent & Team Work TECHNICAL SKILLS

Excel Tableau PowerBI SQL & Python MS Office Teams Google EDUCATION

Master of Science in Information Systems and Technology GPA: 3.3 University of North Texas, Denton, TX Expected Graduation Date: May 2026 Bachelor’s Degree GPA: 7.4

SRKR Engineering College, Bhimavaram, AP Graduation: July 2024 ADDITIONAL EDUCATION CERTIFICATIONS TRAINING

Cloud Practitioner certified by AWS Summer 2025

Foundation Associate – Oracle certified Spring 2025 Coursera/Google: Data Analytics Spring 2025

Full Stack Developer Certification – Henotic Pvt Ltd Fall 2023 EXPERIENCE (Jobs, Internships, and Relevant Class Projects) Full Stack Developer Intern, Henotic Pvt Ltd, Hyderabad, India May 2023 – Apr 2024

• Built a portfolio website using HTML, CSS, JavaScript, and Django.

• Created an easy-to-use backend for managing website content.

• Made the website mobile-friendly for all devices.

• Tested and fixed issues to ensure the site worked smoothly. AIML Data Science Intern, Henotic Technology Pvt Ltd, Hyderabad, June 2022 – Dec 2023

• Explored and analyzed large datasets to find trends and insights.

• Built predictive machine learning models for business decisions.

• Cleaned and prepared data using scaling and encoding techniques.

• Interpreted model results to provide actionable insights. Academic project, Analysis of Walmart weekly sales data, University of North Texas fall 2024

• Analyzed Walmart’s weekly sales data to identify trends and patterns.

• Evaluated store performance across different locations.

• Built predictive models to forecast future sales.

• Provided insights for inventory management, marketing, and operations.

• Supported data-driven decision-making to improve business efficiency. Academic Project, Detection of Fake Images Using Deep Learning, SRKR Engineering College Spring 2024

• Built and trained deep learning models using CNN and ResNet50 to detect fake images.

• Developed the project using Python and deep learning libraries.

• Created a scalable framework for research and experimentation.

• Integrated features to adjust settings for machine learning studies.

• Contributed to academic research by providing actionable insights and results. Project, Superstore Sales Dashboard fall 2025

• Built a Power BI dashboard to track sales, profit, and shipping performance.

• Analyzed data by region, category, and customer segment.

• Created interactive visuals and filters for easy decision-making.

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