2024
Graduated 🎓 from Northeastern University with a Master's in Data Science. For my capstone, I developed an audio deepfake detection system under the mentorship of Andrew Therriault. The project applied deep learning techniques to detect synthetic audio generated by AI, addressing emerging security and ethical concerns in media.
2023
During my co-op as an R&D Data Engineer at Eight Sleep, I worked on building and optimizing scalable data pipelines to support R&D applications. I also developed data quality monitoring systems and interactive dashboards using Dash Plotly. I engineered a hardware issue tracking system with automated reporting via Slack and web platforms, improving operational efficiency and real-time visibility. Additionally, I contributed to machine learning workflows by creating custom data labeling tools to enhance model performance.
2022
I began my journey towards mastering AI and data science at Northeastern University. Throughout my studies, I worked on diverse projects in areas such as deep learning, computer vision, and natural language processing, gaining hands-on experience with the latest tools and techniques in machine learning and artificial intelligence.
2016 - 2022
My career started at Tata Consultancy Services (TCS), where I initially worked as a Python Developer and later transitioned to a Data Engineer role. Over these years, I built and maintained robust data pipelines across multiple domains, including retail and finance. I orchestrated workflows with Airflow, optimized machine learning processes, and led a successful migration of on-premises databases to cloud platforms, reducing operational costs by 30%.
2012 - 2016
Completed my Bachelor's in Information Technology at Anna University, where my passion for programming and problem-solving was ignited. During my time here, I gained foundational knowledge in software development, algorithms, and database management, which laid the groundwork for my career in data engineering and data science.
Projects
Blog
From Correlation to Clarity: Understanding PCA
February 22, 2023
Explores the mathematical intuition behind PCA, focusing on how it transforms correlated variables into principal components to bring clarity from correlation.
Recurrence relation - when division strategy differs based on whether n is even or odd
January 22, 2023
The idea of divide and conquer is quite appealing. We divide the problem into subproblems that are smaller instances of the original problem, then solve them recursively and finally the solutions to the subproblems are combined back to form the solution to the major problem.
Publications
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