Vineet S P

Data Engineer with a Bachelor’s in Industrial & Production Engineering and extensive experience in data analysis, ETL processes, and visualization using Python, SQL, and Power BI. Skilled in big data tools such as Hadoop and Hive, gained through internship projects, and possesses a solid foundation in software development. Currently enhancing expertise in PySpark and AWS to create scalable data solutions. Committed to contributing to innovative projects through agile methodologies and continuous learning.

• Completed Full Stack Web Development (MERN) Course, 01/24 - 03/24
• Successfully completed Tableau Task - Deloitte Australia: Data Analytics Job Simulation via Forage, 04/15/25

FNP Data Analysis

Conducted exploratory data analysis on the FNP dataset using Excel, leveraging data cleaning, pivot tables, and dashboards to derive actionable insights

Analyzed sales trends, product performance, and regional patterns to identify key business opportunities and inform strategic decisions, utilized data visualization techniques, and KPI tracking to enhance business intelligence reporting and support data-driven decision-making, demonstrated proficiency in data interpretation, pattern recognition, and translating complex datasets into meaningful business insights

Blinkit Data Analysis

Performed sales and performance analysis on the Blinkit dataset using SQL, Python, and Power BI, extracted and cleaned data using SQL queries Applied Python libraries like pandas for data manipulation, seaborn, and matplotlib for visualizations; developed Excel summaries, and created interactive Power BI dashboards to track KPIs such as total sales, average rating, and outlet-wise performance Delivered business insights through data storytelling, enabling data-driven decisions on sales optimization and inventory distribution

Vivas Medicare Data Analytics

Independently led a data analytics project at Vivas Medicare by collecting, organizing, and managing monthly sales and purchase data across multiple Excel files, cleaned and transformed raw data using Excel (VLOOKUP, formulas), then merged and normalized 4,000+ rows using Power Query Developed insightful Power BI dashboards with DAX, tooltips, KPI cards, and interactive visuals for real-time sales and inventory insights. Maintained full ownership of the dataset lifecycle, from manual data collection to advanced reporting, demonstrating strong skills in data wrangling, data modeling, and business intelligence, and enabling better operational and strategic decisions through data