HII! I AM SOURABH
A Master’s student in Business Analytics with a background in Mechanical Engineering and hands-on experience in data analytics, digital marketing, and entrepreneurship. I enjoy turning data into actionable insights that drive smarter decisions.
From building predictive maintenance dashboards to analyzing shopper behavior, I focus on solving real-world problems using SQL, Python, R, and visualization tools. I'm also passionate about business strategy, emerging tech, and creating tools that make life easier.
Let’s connect and create something impactful.


8
2
Years of experience
Data Analytics Projects
Comprehensive Analysis of Unemployment in America Per US State
This project provided a comprehensive analysis of unemployment trends in the US, offering valuable insights into the factors influencing unemployment rates and helping to identify areas needing attention.
Analyzed the relationship between Super Bowl advertising expenditures and social media buzz for three automotive brands during the 2012 Super Bowl period to aid in launching a new car brand.
Super Bowl Advertising Analysis


Academic Projects


Simulation of Selected Industries for Productivity Improvement
The project aimed to enhance the efficiency of manufacturing plants by employing Tecnomatix Plant Simulation software. We designed digital models of production processes to simulate discrete events, identify bottlenecks, and optimize operations. The primary objective was to present the possibilities of using simulation tools to improve productivity in various industries.
The Unnat Bharat Abhiyan is a central government initiative aimed at leveraging technological advancements for rural development. Our project focused on systematically analyzing survey data from Bhagvati village using SPSS software to identify major challenges and propose technological interventions.
Implementation of Unnat Bharat Abhiyan (UBA) scheme through analysis of survey data of Bhagvati village


Academic Projects


Objective:
Explored a dataset containing mental health data of 82,000+ international students to identify key factors impacting their well-being.SQL Contribution:
Used SQL queries to clean and preprocess large datasets, ensuring accuracy and consistency for analysis.
Queried specific stressor-related attributes such as workload, cultural differences, and social isolation.
Created joins across multiple tables to unify demographic, academic, and mental health attributes.
Generated aggregate statistics like average stress scores per region or program using SQL functions.
Outcome:
Insights from SQL-powered analysis enabled stakeholders to identify critical stressors and propose actionable student wellness strategies.
Analyzing Students' Mental Health


SQL based Projects


Analyzing Students' Mental Health
Objective:
Analyzed debt data collected by The World Bank to identify countries with the highest and lowest debt across various categories.SQL Contribution:
Designed and executed advanced SQL queries to extract relevant debt data by country and debt category.
Applied SQL GROUP BY and HAVING clauses to compute and filter total debt by region, sector, and year.
Utilized window functions to rank countries based on their total and per capita debt levels.
Generated pivoted summary tables showcasing trends in debt accumulation across developing nations.
Outcome:
SQL analysis provided clear comparisons of debt burdens, supporting international financial organizations in allocating aid and resources effectively.
Contact
Let's connect and discuss how I can help your business thrive.
work@sourabhrodagi.com