Akhil Chowbey

Welcome to my Data Science space!

Master’s in Analytics, Northeastern University

Bachelor’s in Computer Engineering, Gujarat Technological University

Akhil Chowbey

About Me

I am a passionate and adaptable Data Professional with expertise in a wide range of technologies, including SQL, Python, R, BI tools (Power BI, Tableau), and Cloud platforms (AWS, Azure, Google Cloud). My journey in the tech world is driven by innovation, collaboration, and a commitment to excellence, consistently leveraging data to drive meaningful insights and business impact.

One of my key achievements was transforming my final-year project into a successful business during my bachelor's degree. I didn’t just develop a shared market platform—I brought it to life, turning an idea into a tangible reality. This experience highlights my dedication to building solutions that go beyond theory, bridging the gap between innovation and real-world impact

Beyond my projects, I actively explore and adopt emerging technologies, continuously expanding my skill set. I am passionate about knowledge sharing and regularly pass on my learnings to peers, fostering a culture of collaborative growth. This approach not only keeps me engaged with the latest industry trends but also reinforces my commitment to lifelong learning

My Work

Portfolio

Data For Good - Hackathon

City of Toronto | Telus | Northeastern University

I recently had the opportunity to participate in the Data for Good Hackathon, organized in collaboration with the City of Toronto and Telus. Our challenge was to propose data-driven solutions to mitigate congestion and traffic during Taylor Swift’s Eras Tour in Toronto—a highly anticipated event expected to bring an influx of visitors to the city.

Leveraging anonymized mobility data provided by Telus, our team analyzed movement patterns to predict potential high-traffic routes. Using ArcGIS, we mapped these insights onto Toronto’s road network, identifying congestion hotspots and suggesting optimized traffic flow strategies. Our approach streamlined real-time data integration to provide actionable insights for city planners, ensuring a smoother experience for residents and concertgoers alike.

Data Science Volunteer

Royal Canadian Institute for Science

At the Royal Canadian Institute for Science (RCIScience), I led a cross-functional team in designing and implementing an ETL data migration framework to transition from Universal Analytics (UA) to Google Analytics 4 (GA4). This ensured a seamless transition, maintaining data integrity and minimizing disruptions in reporting and insights.

Beyond migration, we also archived historical data to preserve key analytics insights for future reference. To enhance data accessibility and visualization, we built interactive dashboards using Looker Studio, enabling stakeholders to monitor key metrics effectively and make data-driven decisions.

A critical aspect of this project was ensuring compliance with GDPR and data privacy regulations. We achieved this by implementing robust data governance policies, anonymizing user data, and optimizing data retention strategies to align with industry best practices.

This experience reinforced my expertise in data migration, governance, dashboarding, and cross-functional collaboration, highlighting the importance of integrating technical execution, regulatory compliance, and user-friendly data visualization in modern analytics frameworks

Reference Letter from Marketing and Communications Manager, Tallie Garey (RCIScience)

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Data Analyst Volunteer

Canadian Pride Historical Society

At the Canadian Pride Historical Society (CPHS) in Toronto, I contributed as a Data Analyst Volunteer, leveraging data management best practices to enhance operational efficiency and decision-making.

One of my key contributions was developing and documenting Standard Operating Procedures (SOPs) to streamline data management and improve user adoption. By establishing clear guidelines, I helped ensure consistency and accuracy in data handling across the organization.

I also worked on enhancing PIMS (Pride Information Management System) by implementing best practices for data entry and management, improving data accuracy and efficiency. These enhancements contributed to a more reliable and structured information system.

This hackathon was a great experience in applying data analytics, geospatial mapping, and real-world problem-solving to a high-impact urban challenge. It reinforced the importance of data-driven decision-making in city planning and traffic management, especially during large-scale events.

This experience deepened my expertise in data governance, system optimization, and structured data management, reinforcing the role of efficient data handling in supporting non-profit organizations’ missions.