Vishwa Babariya

Dynamic data analyst with experience at ARCpoint Labs, skilled in data visualization and statistical modeling. Leveraged Power BI and SQL to drive data-driven decisions, enhancing operational efficiency. Proven ability to analyze complex datasets and communicate insights effectively, contributing to improved lab test demand assessments.

• Pizza Sales Analysis (2025) - Conducted an in-depth analysis of pizza-related data, including customer preferences, and sales trends, using SQL to provide actionable insights for improving business decisions in the pizza industry
• NovaTech Hub Analysis (2025) – Developed a Power BI dashboard to analyze sales, profit, costs, and trends for a fictional electronics store, enabling data-driven decision-making
• Early detection is crucial for effective treatment and improved outcomes in breast cancer, applying several machine learning models to detect breast cancer, and optimizing the models for improved results
• Comparative analysis of different NoSQL database systems across diverse data domains (2023)- analyzing and performing time comparisons for NoSQL databases
• Fake News Classification (2023) - implementing various supervised classification algorithms to classify fake news by their titles, and calculating their accuracies for better and more accurate results
• Online Social Media Analysis (2023) - From a social media platform called Reddit, data was crawled and visualized to create network graphs using NetworkX in Python
• A blockchain-based distributed smart economy network (2021-22)- researched the security and protection aspects of cryptocurrencies and developed our own token
• Predicting the Success of an Upcoming Movie (2021-22) - Using machine learning and data mining algorithms, I predicted the success of an upcoming movie, and performed exploratory data analysis on the dataset
• Votechain - a blockchain-based voting system (2021-22) - created Votechain, a blockchain-based voting system that can help bring transparency and security to our voting systems, using smart contracts, and the Ethereum blockchain ledger
• Business Visualization (2021-22) - Using the visualization tool, SAS Visual Analytics, I explored the Insight Toy Company and Telecom datasets, and created business scenarios and insights using graphs
• Hotel Reservation System (2020-21) - Designed the requirements of the hotel reservation system using the platform, StarUML

• Teaching at government schools, I volunteered to educate students in primary classes at multiple government schools
• Each One Save One – Volunteered to take care of children with different disabilities during an event held for those children by the university

• Heart Disease Prediction in Medical Industries Using Data Mining Techniques (2020-21) – Research paper on predicting cardiovascular disease using data mining, published in IJRASET, Vol. 9, Issue III, March 2021, DOI
• Blockchain-based Distributed Smart Economy Network (2022) – Review of cryptocurrency security measures, published in IJRES, Vol. 10, Issue 3 (March 2022), DOI

• Google Data Analytics Professional Certificate (Link) 

• IBM Data Science Graduate Badge (link)

• SAS Academic Specialization in Base SAS and Visual Analytics (Link) 

• NPTEL Certification: Problem Solving Through Programming in C

• Vice President and Mentor at UNICOMM (2019-22) - a student-initiated club where mentors guide students and provide them with a platform to improve their interpersonal skills
• Member of Dance Dukes (2018-22) – Experimented with various dance styles and taught choreographies to fellow members as a member of Dance Dukes
• Youth Speak Forum (2018) – I participated as a member of the marketing team in the Youth Speak Forum event