Motivated and detail-oriented computer science graduate with three years of experience as a data analyst and business intelligence developer.
Proven expertise in Tableau Desktop, Tableau Server, Power BI, Python, and SQL to drive insights and support decision-making.
Well-versed in SDLC, Agile/Scrum methodologies, and business requirements analysis, ensuring efficient project execution and collaboration across teams.
Proficient in defect tracking and reporting using JIRA, with hands-on experience in documentation and presentation, utilizing Microsoft Word and PowerPoint.
Adept at working with cross-functional teams, fostering smooth communication, and issue resolution to meet project deadlines and objectives.
Knowledgeable in Star/Snowflake Schema, Oracle SQL, MySQL, machine learning algorithms, and Azure platform tools, with practical expertise in Extract, Load, Transform (ELT) pipelines, and data migration strategies.
Quick learner with a track record of adaptability, reliability, and creativity. Possesses strong analytical thinking and problem-solving abilities, with a commitment to mastering new technologies to contribute effectively to organizational growth.
Overview
4
4
years of professional experience
Work History
Business Intelligence Developer
State of Indiana
Indianapolis, IN
08.2024 - Current
Created interactive Tableau dashboards and automated data refreshes through Tableau Desktop and Server.
Employed Azure Synapse Analytics, Data Studio, and Data Factory for querying and ELT pipeline development.
Executed manual data validation using SQL Server and Azure data studio to maintain data accuracy.
Presented insights weekly to stakeholders while collaborating with teams via Jira for task management.
Data Analyst
Independent Bank
, MI
09.2023 - 04.2025
Analyzed customer data to identify churn trends and influencing factors.
Developed predictive churn model using scikit-learn with logistic regression and decision tree methods.
Created interactive Power BI dashboards, providing stakeholders with actionable insights in real-time.
Cleaned and transformed data with SQL and Python for precise analysis.
Delivered strategic recommendations to improve customer retention rates.
Additionally, I collaborated with the finance team to create DAX calculations for financial forecasting, enhancing the accuracy of quarterly investment decisions.
Data Analyst
Virtusa
, Telangana
07.2021 - 08.2022
Gathered requirements from business stakeholders to define key performance indicators, and data reporting needs.
Developed automated ETL workflows using Azure Data Factory for data extraction, transformation, and loading from SAP and Excel files.
Designed data models in Power BI, utilizing Power Query and DAX for real-time analytics support.
Created interactive dashboards and visual reports in Power BI, showcasing sales trends, category performance, inventory turnover, and profit margins over the years.
Collaborated with data engineers to optimize data pipelines, ensuring data integrity, and refresh reliability.
Conducted data validation, quality assurance testing, and version control prior to deployment.
Trained end users on dashboard functionality and KPI interpretation.
Data Science Intern
Verzeo
, Karnataka
05.2021 - 07.2021
Preprocessed and cleaned feedback data by addressing duplicates, missing values, and normalizing text.
Applied machine learning algorithms to classify sentiment as positive, negative, or neutral.
Visualized sentiment trends across course components using Matplotlib for enhanced analysis.
Delivered actionable insights to enhance course quality and improve student experience.
Education
Master of Science - Applied Computer Science
Grand Valley State University
Allendale, MI
04-2024
Bachelor of Science - Computer Science
Neil Gogte Institute of Technology
Hyderabad, India
05-2022
Skills
Data visualization tools: Tableau, Power BI
Web technologies: HTML, CSS3, SCSS
Database management: SQL, Oracle SQL, MySQL
Project methodologies: Agile, Waterfall
Build and automation: Azure Pipelines
Programming language: Python
Cloud platforms: Azure Data Factory, Synapse Analytics, Data Lake Storage, Azure Storage
DevOps tools: Azure DevOps, Jira, Visual Studio, and GitHub