VEDALA

Minneapolis,MN

Summary

Around 5+ years of industrial working experience on Data analysis Data Analyst with experience in collecting, cleaning, and analyzing large datasets to support data-driven decision-making. Proficient in Python, SQL, and data visualization tools such as Tableau and Power BI. Skilled in performing exploratory data analysis (EDA), statistical analysis, and building dashboards to uncover trends and insights. Strong understanding of data preprocessing techniques including handling missing values, data transformation, and feature engineering. Solid working experience with SQL, strongly skilled in writing stored procedures, triggers and complex queries containing multiple joins, subqueries and window functions to create reports and perform analysis. Worked on creating dashboards in Tableau/Power BI for reporting and data visualization, and guided business decision Experience working with V-lookup and Pivot tables. Experience working with Power BI DAX (Data Analysis Expression)

Overview

years of professional experience

Work History

ANI Pharmaceuticals

05.2024 - 04.2026

Collected, cleaned, and analyzed clinical, sales, and healthcare datasets to support business and research decisions
Performed exploratory data analysis (EDA) to identify trends in drug performance, patient outcomes, and market demand
Developed and maintained dashboards and reports using Power BI / Tableau for stakeholders
Analyzed clinical trial data to ensure accuracy, consistency, and regulatory compliance
Worked with large healthcare datasets including patient records while maintaining data privacy and security standards
Conducted statistical analysis to evaluate drug effectiveness and treatment outcomes
Collaborated with cross-functional teams (research, marketing, regulatory) to provide actionable insights
Automated data processing and reporting tasks using Python (Pandas, NumPy) and SQL
Monitored KPIs such as drug sales performance, prescription trends, and market growth
Environment: Python, SQL, Tableau, SQL Server, Power BI, Excel, Jupyternotebook, Jira

Farmers Insurance Group

03.2023 - 04.2025

Analyze large insurance datasets (claims, policies, customer data) to identify trends, risks, and business insights.
Perform data cleaning and preprocessing to ensure data accuracy and consistency.
Conduct exploratory data analysis (EDA) to detect patterns in claims, fraud, and customer behavior.
Develop and maintain dashboards and reports using tools like Power BI or Tableau.
Write and optimize SQL queries to extract and manipulate data from databases.
Support risk analysis and underwriting decisions using statistical methods
Identify potential fraud cases by analyzing anomalies in claims data.
Collaborate with business teams to understand requirements and deliver data-driven solutions.
Build predictive models to forecast claims, customer churn, and risk levels.
Environment: Python, SQL, Tableau, SQL Server, MS-Excel, Power BI, Excel, Jupyternotebook, Jira

PepsiCo

04.2021 - 02.2023

Collected, cleaned, and analyzed production, inventory, and sales data to support operational decisions.
Monitored production performance metrics (yield, downtime, waste) and identified areas for improvement.
Performed data quality checks to ensure accuracy and consistency across manufacturing datasets.
Developed and maintained dashboards and reports using tools like Power BI / Tableau for real-time monitoring.
Analyzed supply chain data (raw materials, logistics, demand forecasting) to optimize inventory levels.
Conducted trend analysis to reduce production waste and improve efficiency.
Collaborated with production, quality, and supply chain teams to understand business requirements.
Identified cost-saving opportunities by analyzing material usage and operational processes.
Supported quality control analysis by evaluating defect rates and compliance data.
Automated recurring reports using Python and SQL to improve efficiency.
Environment: Python, SQL, Tableau, Power BI, NoSQL, Jira, SQL Server

Education

BS - Information Technology

MS - Computer Science

Skills

Programming Languages: Python (Pandas, NumPy, Matplotlib, Seaborn, MS-Visual studio code, Spyder), SQL
Data Analysis & Modeling: Pandas, NumPy, Exploratory Data Analysis (EDA)
Data Visualization: Tableau, Power BI
Database Management: SQL Server, Azure SQL Database, MySQL, Oracle, NoSQL Database

Cloud Platforms: Microsoft Azure, AWS, Snowflake
Big Data Tools: Apache Hadoop, Apache Spark
Tools & Miscellaneous: Machine Learning, Machine Learning Algorithms, Statistics, GitHub
Collaboration: JIRA, Agile