Data Analyst Business Development

VAMSI KRISHNA BOTLA

BROOKLYN, NY ***** • +1-551-***-**** • *****************@****.*******.***

Objective

Results-driven Data Analyst with 2 years of experience in transforming complex data into actionable insights. Skilled in statistical analysis, data visualization, and leveraging tools like SQL, Python, and Tableau to drive business outcomes. Eager to apply expertise in data mining and predictive modeling to support strategic decision-making.

Education

Adelphy University • Garden City • NY SEP 2023 – Present Master of Professional Studies: Data Science GPA: 3.84/4.00

Courses: Mathematics for Data Science, Introduction to Artificial Intelligence, Exploratory data analysis, Machine Learning, Power BI Dashboarding.

Sreenivasa institute of technology and management studies • India July 2017 – June 2021 Bachelor of Technology: Mechanical Engineering GPA: 8.0/10.00

Courses: Programming with C, Production Planning and Control, Statistics, Robotics, Engineering Management, Probability and Statistics, Operations Research, Data Base management, CAD

Skills

Programming Languages: Python, SQL.

Databases: MY SQL, Microsoft SQL Server.

Libraries: Pandas, NumPy, Scikit -Learn.

Reporting & Visualization: Tableau.

Experience

Data Analyst, DEC 2021 – JULY 2023

Infosys Limited, Hyderabad, India – GE Power Client

Developed visualizations using Tableau to make complex shortage analysis accessible to stakeholders.

Engineered comprehensive Tableau visualizations to clearly convey complex data trends, enhancing stakeholder understanding by 25% and facilitating a 10% uptick in project approval rates.

Maintained 98% data pipeline stability, reducing discrepancies by 20% over one year.

Collaborated with a diverse team of 5+ data engineers and analysts to develop and implement 10+ data visualization solutions.

Trained team members on Tableau best practices, increasing overall team efficiency in data visualization and reporting by 20%.

Supported cross-functional teams by delivering ad-hoc reports and analyses, enabling faster decision-making and reducing turnaround time by 20%.

Conducted detailed data audits, identifying inconsistencies that improved data integrity by 15%, resulting in more accurate business

insights.

Academic Projects

Whitestone Associates

• Utilized machine learning techniques such as Random Forest and Gradient Boosting

classifiers to analyze factors influencing email campaign outreach.

• Conducted predictive analysis on historical email data to identify key drivers of engagement,

improving click-through rates by 15%.

• Created an automated reporting system using Python to deliver insights on campaign

performance, supporting data-driven decision-making.

HR Analytics Overview

• Developed a data analysis framework to assess employee turnover, performance trends, and

job satisfaction, providing actionable insights to HR managers.

• Created an interactive Tableau dashboard to help HR teams monitor key metrics, such as

turnover rates and employee satisfaction, enabling early intervention strategies

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