Soumy Raghuvanshi

I’m a Data Science and Analytics enthusiast skilled in Java, SQL, Power BI, and machine learning, focused on turning messy data into clear, decision-ready insights. I enjoy building predictive models and interactive dashboards that people can actually use.

Through my IBM SkillsBuild Summer Internship (Data Analytics), I completed 6 weeks of work on data cleaning, exploratory data analysis (EDA), and data visualization. I analyzed real-world datasets to generate insights for data-driven decision making.

My projects reflect my end-to-end approach. For the “FIFA World Cup Analysis Dashboard,” I modeled data using Galaxy Schema, ran ETL/data cleaning via Power Query and SQL, and built key metrics with DAX to visualize trends.

I also built “Agro.ai” for crop disease detection using a CNN model trained on 87,000+ images (92% classification accuracy) and improved results by reducing false positives with advanced augmentation. Alongside this, I created an OS memory allocation simulator (First Fit, Best Fit, Worst Fit) in JavaScript, and I’ve been recognized by ranking 1st in my department (Semester 3) at NMIMS.