Summary
Overview
Education
Skills
Projects
Certification
Timeline
Generic

GANGA TUMU

San Antonio,USA

Summary

Committed job seeker with a track record of delivering consistent and organized practices to meet company needs. Proficient in thriving under pressure and adapting to new situations and challenges, ensuring optimal enhancement of the organizational brand.

Overview

1
1
Certification

Education

Master of Science in Computer Science -

St. Mary's University
San Antonio, TX, USA
12.2024

Skills

  • C Programming
  • Python Programming
  • Power BI Data Visualization
  • Experienced with Visual Studio Code
  • Docker Implementation Skills
  • Data Analysis with Jupyter Notebook
  • Database Development Using SQL
  • Experienced with Microsoft Office Suite
  • Git Repository Management
  • Selenium Testing Expertise
  • Windows Operating System Expertise
  • Linux Command Line Proficiency
  • MySQL Query Optimization
  • Database Management with SQL Server
  • AWS DynamoDB Management
  • Pandas Data Analysis
  • Data Analysis with Numpy
  • Data Visualization with Matplotlib
  • Data Migration
  • Scripting Languages

Projects

Web Scraping

Developed a web scraping tool named Market Scraper to extract publicly available data from websites for competitor customer analysis. This tool gathered and analyzed customer reviews, product promotions, and market trends from e-commerce sites to assist businesses in enhancing their market strategies. The tool enabled automated data extraction, parsing, and analysis, while ensuring compliance with legal and privacy regulations. Implemented features like user management, CSV generation, and data visualization, allowing businesses to extract insights for strategic decision-making., 

Python, Beautiful Soup, Pandas, AWS DynamoDB, HTML, CSS, Java Script, AWS Lambda, AWS API Gateway, Matplotlib, Visual studio, Jupyter Notebook, PODMAN, AWS Amplify, Git, CI/CD Pipeline

 Location Prediction on Twitter Using ML Techniques

 Developed a machine learning model to predict user locations based on unstructured tweet data. Implemented feature extraction techniques to derive insights from tweet content, followed by data preprocessing to clean and refine Twitter location data. Split the data into training and testing sets, applying various machine learning models to predict locations. The model performance was evaluated using metrics such as accuracy, precision, recall, and F1 score. Additionally, histogram visualizations were created to represent the distribution of predicted locations, providing deeper insights into model predictions.,

 Python, Pandas, Numpy, Matplotlib, Anaconda, Jupyter Notebook

Certification

  • Certified in Programming in Python from Meta
  • Data Analytics Essentials from Cisco
  • Data Analytics and Visualization Job Simulation from Accenture

Timeline

Master of Science in Computer Science -

St. Mary's University
GANGA TUMU