Continuing Education to Develop Projects That Matter
Muskan Deepak Raisinghani, MS’25, information systems, wanted to continue her academic journey with a master’s degree to gain exposure to advanced technologies and industry practices. During her time in the information systems program, she has had a variety of incredible career development opportunities that have helped her reach her career ambitions.
Muskan Deepak Raisinghani, a current MS in information systems student, holds a bachelor’s degree in computer engineering. Before joining Northeastern University, she gained 3.5 years of professional experience as a data engineer and analyst at LTIMindtree and CRISIL Limited, where she focused on building scalable data pipelines, optimizing workflows, and delivering data-driven solutions across diverse industries.
Raisinghani chose Northeastern to pursue her master’s degree with the goal of strengthening her career in data engineering and analytics while gaining exposure to advanced technologies and industry practices in the U.S. Northeastern stood out for its strong co-op program, flexible curriculum, and emphasis on experiential learning. She notes that two courses, “Big-Data Systems and Intelligence Analytics” and “Designing Advanced Data Architectures for Business Intelligence” played a key role in her decision to enroll.
The curriculum at Northeastern closely aligns with her career goals in data engineering and governance. Courses like “GenAI with LLM in Data Engineering” provide both practical experience and a solid foundation in current industry practices. Raisinghani expresses deep gratitude to Adjunct Professor Naveen Kuragayala, Adjunct Professor Srikanth Krishnamurthy and Adjunct Professor Kishore Aradhya, whose guidance and support have been instrumental in shaping her academic journey.
Raisinghani secured a Fall 2024 co-op at Tesla as a data engineer, where she contributed to core data pipelines and analytics systems. Some of her responsibilities were: conducting statistical analyses using Tesla’s field service and vehicle log data to quantify the product’s field reliability performance; querying, processing, and transforming large quantities of vehicle fleet data for diagnostics and prognostics which enabled data-driven design and product quality improvement decisions; and designing and maintaining databases, dashboards, and tools to simplify or automate analyses for field quality engineers.
Raisinghani also developed visualizations and reports to effectively communicate product quality and reliability insights to stakeholders. She expresses sincere gratitude to Assistant Co-op Coordinator Tyler McFarland for his support and encouragement throughout the application process and securing her co-op.
Project
During her time at Northeastern, Raisinghani worked on a group project called JobMatch for the “Big-Data Systems and Intelligence Analytics” courses. The project was a job recommendation system leveraging Retrieval-Augmented Generation (RAG) technology. The project utilized tools including Airflow, OpenAI, AWS, Snowflake, and FastAPI.
Data gathering posed challenges due to limited scraping capabilities, but she overcame this by implementing Selenium-based dynamic scraping combined with Airflow scheduling for daily updates. Additionally, fallback mechanisms using cached data ensured continuous data freshness and system reliability.
Outside of the classroom
Raisinghani and her team participated in two hackathons hosted by Boston University, earning the Best Technical Execution award in 2024 and the Best AI award in 2025. Both events were intense 24-hour challenges that pushed their skills to the limit. Working collaboratively, the team developed two impactful, real-world solutions: “Drug Side Effect Prediction System”, a tool designed to identify potential side effects of medications. “PoliSights”, a policy tracking system that makes policy changes and news easily accessible for small business owners who can’t afford legal assistance or stay constantly updated on regulatory shifts affecting them.
Raisinghani credits much of their success to Professor Srikanth’s “Big-Data Systems and Intelligence Analytics” course, which equipped her with the knowledge and hands-on skills to rapidly prototype and deploy robust, end-to-end solutions. This foundation was instrumental in securing awards at such highly competitive hackathons.
Her experience at Northeastern has significantly accelerated her career, equipping her with both advanced technical skills and valuable U.S. industry experience. The co-op program was a turning point that refined her career direction. Raisinghani also highlights how the culture of innovation and collaboration at Northeastern helped her push boundaries and grow both personally and professionally.
Looking ahead, she aspires to become a lead data engineer focused on building robust, scalable, and intelligent data systems. She is particularly interested in the intersection of large language models (LLMs) and data engineering.