Kavya Tatikonda

Summary

Analytical Computer Science graduate with a Master of Science from the University of Massachusetts Boston, specializing in data analysis and machine learning. Skilled in developing predictive models and extracting insights from data using Python, SQL, Tableau, Power BI, and R. Committed to leveraging data visualization and statistical modeling to drive impactful business solutions.

Overview

Certification

Work History

Data Analytics Engineer Intern

Phoenix Global

Hyderabad

05.2022 - 06.2022

Conducted comprehensive analysis of the Indian Premier League (IPL) dataset to uncover player and team performance trends using SQL, Excel, Tableau, and Power BI.
Developed interactive dashboards in Tableau and Power BI, enhancing visualization of key business metrics for stakeholders.
Analyzed large datasets, uncovering business trends and informing strategic decisions.
Performed data cleaning, transformation, and preprocessing to improve reporting accuracy.
Collaborated with team members to automate reporting processes, streamlining data access for data-driven decision making.

Education

Master of Science - Computer Science

University of Massachusetts, Boston

Boston, MA

12-2025

Bachelor of Technology - Computer Science

Gitam Deemed To Be University

Visakhapatnam, India

05-2023

Skills

Machine Learning: Scikit-learn, Classification, Regression, Feature Engineering, Model Evaluation, Data Preprocessing
Programming Languages: Python, R, SQL, Java, C
Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn, Tableau, Power BI, Microsoft Excel
Databases: MySQL, PostgreSQL

Data engineering
Big Data & Cloud: Cloud Computing Fundamentals, Hadoop (Basics)
Development Tools: Jupyter Notebook, VS Code, Git, GitHub
Concepts: Data Cleaning, Exploratory Data Analysis (EDA), Statistical Analysis, Predictive Analytics, Business Intelligence, Data Modeling

Academic Projects

Real-Time Real Estate Investment Analysis

Master of Science – Computer Science | University of Massachusetts Boston

Designed a real-time real estate investment analysis platform using historical and market data.
Performed data preprocessing, exploratory data analysis, and visualization to identify profitable investment opportunities.
Built interactive dashboards to analyze pricing trends, return on investment (ROI), and property performance.
Applied statistical and analytical techniques to support investment decision-making.
Created a website and made it user-friendly with all the above features.

Sleep Quality Prediction using Machine Learning

Developed a machine learning model to predict whether an individual's sleep quality would be classified as good or poor based on daily lifestyle and behavioral patterns.
Performed data cleaning, feature engineering, exploratory data analysis, and model evaluation.
Implemented classification algorithms using Python and Scikit-learn and evaluated performance using standard machine learning metrics.

Toxic Comment Classification (Major Project)

Bachelor of Technology – Computer Science

Developed a Natural Language Processing (NLP) model to automatically classify toxic online comments.
Applied text preprocessing, feature extraction, and machine learning techniques for multi-class text classification.
Improved content moderation efficiency through automated detection of offensive language.

Certification

Data Analysis with R programming
Introduction to Web development
Cloud Computing Foundations
Agile Software Development

Leadership & Volunteer experience

National Cadet Corps (NCC) – C Certificate

Completed advanced NCC training focused on leadership, discipline, teamwork, and community service.
Participated in drills, camps, and social service activities while developing organizational and leadership skills.

IEEE Computer Society

Active member participating in technical events, workshops, and collaborative learning activities.

National Service Scheme (NSS)

Volunteered in community service initiatives and social outreach programs, demonstrating leadership and teamwork.

Timeline