Summary
Education
Skills
Certifications
Projects
Accomplishments
Timeline
Generic

Bharath Sai Vallabhaneni

Delray Beach,FL

Summary

Motivated and detail-oriented graduate student with hands-on experience in Python, SQL, and Power BI for data analysis. Adept at extracting actionable insights from complex datasets and presenting them through interactive dashboards. Seeking an entry-level Data Analyst position to apply strong analytical and problem-solving skills

Education

Bachelor of Science - Computer Science

Sathyabama University
Chennai, India
01-2024

Master of Science - Computer And Information Sciences

Florida Atlantic University
Boca Raton, FL

Skills

  • Python
  • Power BI
  • MySQL
  • Excel
  • Statistical Analysis
  • Data Cleaning

Certifications

  • Python for Data Science and Machine Learning (Udemy, 2022)
  • SQL for Data Analysis (Coursera, 2021)
  • Tableau for Beginners (LinkedIn Learning, 2021)

Projects

Sales Data Analysis

  • Tools Used: Python, SQL
  • Analyzed trends and patterns in a dataset of 50,000+ retail transactions to uncover insights such as top-selling products, seasonal trends, and revenue drivers.
  • Outcomes: Provided actionable recommendations to optimize inventory management.

Customer Database Management

  • Tools Used: MySQL, Excel
  • Managed and queried customer data to calculate retention rates, identify churn patterns, and understand customer demographics.
  • Outcomes: Helped devise strategies to improve customer retention by identifying key at-risk groups.

Web Traffic Analysis

  • Tools Used: Python (Pandas, Matplotlib), Statistical Analysis
  • Cleaned and analyzed raw web traffic data to identify peak usage times, geographic user distribution, and trends in user behavior.
  • Outcomes: Insights contributed to better server load balancing and targeted marketing campaigns.

Financial Dashboard

  • Tools Used: Power BI, Excel
  • Description: Created an interactive Power BI dashboard to visualize monthly revenue, expenses, and profitability trends.
  • Outcomes: Enabled leadership to monitor key financial metrics and make data-driven decisions effectively.

Accomplishments

  • Developed and deployed a Python script for a 50,000-row retail dataset, improving sales forecasting accuracy and reducing processing time by 25%."
  • Designed efficient SQL queries that improved data retrieval speed by 30% for a large customer database.Designed efficient SQL queries that improved data retrieval speed by 30% for a large customer database.

Timeline

Bachelor of Science - Computer Science

Sathyabama University

Master of Science - Computer And Information Sciences

Florida Atlantic University
Bharath Sai Vallabhaneni