Hrishik Parmar
Graduate Teaching Assistant @Northeastern University College Of Engineering
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WORK HISTORY
Graduate Teaching Assistant @Northeastern University College Of Engineering
Boston, MA, US
I assisted Professor Ramin Mohammadi with a 175-student MLOps course (IE7374), spending most of my time grading assignments on ML pipelines and cloud deployments, and helping students debug their Docker and AWS setup during office hours. I also worked with student teams on their final projects, answering questions about their pipeline architecture and deployment choices. Graded assignments on ML pipeline development, Docker containerization, and AWS deployments for 175+ students, providing feedback on their code and configurations. Held weekly office hours to help students troubleshoot issues with CI/CD pipelines, Docker containers, and cloud deployments when they got stuck on their projects. Mentored 35 student teams preparing end-to-end ML projects for the MLOps Expo, answered their questions on pipeline architecture and deployment strategies as they built their systems.
EDUCATION
Northeastern University
Master's degree, Data Analytics Engineering
D'Amore-McKim School of Business at Northeastern University
Master of Business Analytics, Business Analytics and Strategy
ABOUT HRISHIK PARMAR
I work at the intersection of data analytics and business strategy, turning complex data into decisions that actually matter.What makes me different is how I approach problems. I don\'t just build models or create dashboards. I start by understanding what the business actually needs, then figure out the right technical approach. Whether that\'s analyzing 50+ marketing campaigns to find what\'s not working, or automating financial workflows that save teams 8 hours every week, I focus on impact that people can see and measure.At Echo Innovate IT, I worked directly with marketing leadership to optimize campaign performance. I\'d analyze the data, build predictive models, then sit in meetings explaining what we found and what we should do about it. That\'s the part I really enjoy, translating technical work into a strategy that makes sense to everyone in the room.Before that, at Shubham Maloo & Co, I learned that getting the data right matters just as much as the analysis itself. I built validation systems that caught errors before they hit executive reports, because in finance, accuracy isn\'t optional. Working closely with stakeholders taught me that the best solutions come from actually understanding their day-to-day challenges.My technical skills include Python, SQL, Tableau, Power BI, machine learning, and data engineering tools like Apache Airflow. But honestly, the more valuable skills are probably the softer ones: stakeholder management, asking the right questions, and explaining technical concepts without losing people.I\'m exploring co-op opportunities for Summer 2026 where I can combine technical depth with business thinking. Ideally, something in business analytics, strategy, or data-driven decision-making where the work directly influences how organizations operate.If you\'re working on interesting problems at that intersection of data and strategy, let\'s talk.
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