Vikas Vulugonipalli
Data Analyst at HealthMark Group | University of Michigan-Dearborn | Boeing
- Role
- Data Analyst Etl Automation, Sql Server, Python and Power Bi at HealthMark Group
- Location
- Farmington, MI, US
- LinkedIn followers
- 500 followers
About Vikas Vulugonipalli
I’ve always been captivated by the stories that numbers tell us. As I dive deeper into my journey in data science at the University of Michigan-Dearborn, I find immense joy in exploring how analytics can help solve intricate challenges. My time as a Data Analyst at Boeing taught me that behind every dataset lies an opportunity to glean insights that can drive impactful decisions. I love transforming raw data into something meaningful.During my year at Boeing, I crafted optimized SQL queries that resulted in a stunning 30% reduction in retrieval time for Tableau dashboards. This didn’t just speed up access to critical insights; it also empowered teams to make informed decisions faster than ever before. Additionally, my role as a Graduate Teaching Assistant has been equally fulfilling. Guiding over 50 students through complex statistical concepts has not only sharpened my own skills but also reminded me of the importance of clear communication in learning.I also had the chance to intern as a Software Engineer at Infoblox, where I orchestrated a PXE-based instance creation on Ubuntu that cut deployment times by about 40%. These experiences have solidified my belief that merging technical skills with a collaborative spirit is key to driving success in any project.Outside of academics and work, I enjoy engaging with fellow data enthusiasts through workshops and meetups. Sharing knowledge fuels my passion for this field, and I find inspiration in connecting with others who share this journey.If you’re looking for someone who can bring fresh perspectives to your team or collaborate on exciting data projects, feel free to reach out via email (v•••••@umich.edu). I’d love to connect!Skills: Data Analysis, SQL, R Programming, Tableau, Power Bi, Statistical Analysis, Business Intelligence
Experience
Data Analyst Etl Automation, Sql Server, Python and Power Bi
Jun 2025 — Present · US
Key accomplishments include- Automated Audit and Operations data workflows with Excel ingestion, data cleansing, and SQL Server stored procedures, reduced manual effort by 80%- Architected and automated end-to-end ETL pipelines connecting NetSuite, Maxio, HubSpot, and Planhat data to SQL Server, using flexible schema mapping and detailed error logging improving data refresh performance by 85% and enabling consistent, daily data loads- Developed scalable data-quality and address-standardization frameworks using Melissa Personator improving address accuracy and overall master data integrity by 98% across customer and provider datasets- Built and deployed a Python–Tkinter dashboard to schedule, monitor, and recover ETL jobs with real-time logging and automated failure notifications enhancing reliability and reducing debugging effort by 70%.
Education
University of Michigan-Dearborn
Master's degree, Data science
B. M. S. College of Engineering
Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering
FIITJEE
11- 12, M.P.C
Find verified contacts for anyone on LinkedIn
Unifers gives sales teams verified emails and direct dials, enriched profiles, and outreach that lands in the inbox.
Free plan included · No credit card required
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.