DaswanthReddy Tummuru
Allen,TX
Summary
Detail-oriented Business Analytics graduate student with a solid foundation in data analysis, visualization, and business strategy. Skilled in Python, SQL, and Tableau, with hands-on experience through academic projects. Eager to apply analytical skills in entry-level data and business analyst roles.
Overview
1
1
Certification
Education
Master of Science - Business Analytics
University of New Haven
West Haven, CT05-2025
Skills
Analytical & Business Skills
- Business Analysis & Requirements Gathering
- Data Cleaning & Transformation
- Data Visualization & Dashboarding
- KPI Development & Reporting
- Problem Solving & Critical Thinking
- Business Process Improvement
Technical Skills
- Programming & Data Tools: Python (Pandas, NumPy, Matplotlib, Seaborn), R
- Databases & Querying: SQL (MySQL, PostgreSQL, MS SQL Server)
- Visualization & BI Tools: Tableau, Power BI, Excel (Pivot Tables, VLOOKUP, Power Query)
- Statistical & Analytical Methods: Descriptive & Inferential Statistics, Hypothesis Testing, Regression, Predictive Modeling, Forecasting
- Other Tools: Jupyter Notebook, GitHub, MS Office Suite, UML
Soft Skills
- Communication & Presentation Skills
- Stakeholder Management
- Team Collaboration
- Adaptability & Continuous Learning
Affiliations
- Organized university cultural and technical events, demonstrating leadership and teamwork skills.
- Volunteered in student clubs, coordinating workshops and mentoring peers.
Certification
- Python Programming Certificate
- SQL for Data Analysis
- Tableau / Power BI Training
Languages
English
Professional
Project
E-Commerce Sales Performance Analysis Project
- Conducted an end-to-end business analysis for a mid-size e-commerce dataset (sales, customer, and product records).
- Collected requirements from a hypothetical business stakeholder to identify key areas: revenue trends, top-selling products, customer demographics, and seasonal demand patterns.
- Cleaned and structured raw data using SQL and Python (Pandas) to ensure accuracy and consistency.
- Built interactive dashboards in Tableau/Power BI to visualize KPIs: sales by region, product performance, and customer retention rates.
- Applied descriptive and diagnostic analytics to uncover revenue drivers and areas of improvement.
- Delivered recommendations that increased customer retention strategies and optimized product marketing campaigns.
Tools/Tech: SQL, Python, Excel, Tableau, Power BI
Timeline
Master of Science - Business Analytics
University of New Haven