analyst

JAYASREE RANGINENE

+1-330-***-**** Youngstown, OH

************************@*****.*** linkedin.com/jayasree OBJECTIVE

I am an experienced Data Analyst with one year of professional experience at Deloitte USI. Proficient in Python, Tableau, MySQL, PowerBI, and Excel, I have developed impactful dashboards across the e-commerce and healthcare sectors, driving actionable insights that fuel data-driven decisions. I am actively seeking a role where I can join a dynamic team, contribute my technical expertise, and support data driven decision-making. If you’re looking for a dedicated and results-driven Data Analyst, I believe I am the ideal candidate to help your organization excel. EDUCATION

Master of Computer Science, Youngstown state University May 2025 Relevant Coursework: Advanced Database Management, Data Engineering,Cloud Computing, and Server Side Web Development.

Bachelor of Computer Science, SVEW 2017 - 2021

Relevant Coursework: Python, Database Management Systems, Data structures And Algorithms, Operating Systems. SKILLS

Languages SQL, Python, C++, SAS, R

Databases Oracle, MYSQL, SQL Server, MongoDB, Snowflake, Cassandra Data Visualization Tableau, Power BI, Excel, Qlik Sense ETL and Big Data Technologies Apache Spark, Data Bricks, Airflow, Informatica Cloud Platforms AWS (EC2, S3, EMR, Glue, Lambda), Snowflake EXPERIENCE

Analyst Sep 2021 - Sep 2022

Deloitte Bangalore, India

• An insurance company client was having a trouble with reporting processes and clear insight into their business performance.So, created a Tableau dashboard with customized views for different stakeholders and automated reporting workflows for quarterly and annual business reviews.

• Utilized Python ETL pipelines and SQL to extract and transform complex insurance data from multiple sources, while implementing robust data quality checks and validation procedures to ensure analytics accuracy.

• This solution reduced reporting time by 65%, increased policy renewals by 18%, and generated an additional

$1.2M in revenue through data-driven recommendations, ultimately becoming an essential decision-making tool for the client’s executive team.

PROJECTS

Pizza Sales Performance Analysis Dashboard: Developed a comprehensive Pizza Sales Analytics Dashboard by transforming CSV datasets into an SQL database using Python, then writing custom SQL queries to extract meaningful business metrics. Created an interactive Tableau visualization that displays total revenue, hourly and weekly sales patterns, category-based sales distribution percentages, and product performance rankings showing best and worst sellers. This end-to-end solution delivers actionable insights for menu optimization, staff scheduling, and strategic decision-making through clear, interactive data visualization. Social Media Sentiment Analysis Dashboard: Built a real-time social media sentiment analysis dashboard that collects and analyzes live data from platforms like Twitter to gauge public sentiment around trending topics and brands. Used Python to stream and analyzed social media data, which was then stored and managed in SQL. Using Tableau visualization presented dynamic sentiment trends, enabling stakeholders to quickly identify shifts in public opinion and make timely, data-driven decisions. This project provided actionable insights that empowered marketing teams to adjust strategies in real time, ultimately enhancing brand reputation and overall decision-making.