BeVisioneers: The Mercedes-Benz Fellowship [2025 - Present]

Fellow

  • The beVisioneers Fellowship, implemented by The DO School and supported by Mercedes-Benz, is a global program designed to support young innovators in developing and implementing planet-positive projects that address climate change.
  • Got selected in the Third Cohort of the prestigious fellowship amongst a global applicant pool of 10000+ applications

Cognizant Technology Solutions [2023 - 2025]

Programmer Analyst (Data Analyst)

  • Automated workflows using Python to remove partner inactive users. Worked on Data Analytics projects.
  • Data Analysis and Reporting: Extensively utilized tools such as Python (including libraries like NumPy and Pandas) and Microsoft Excel to analyze user access data, identify trends, and generate insightful reports for business stakeholders and client presentations.
  • Dashboard Development: Designed and developed interactive dashboards using Power BI to visualize key performance indicators related to user access management, providing actionable insights to improve operational efficiency and security posture for the healthcare client in the USA.
  • SQL Proficiency: Employed SQL to query and manipulate large datasets related to user identities and access privileges, ensuring data accuracy and integrity for reporting and analysis purposes.
  • Statistical Analysis and Process Improvement: Applied statistical methods to analyze patterns, identify potential anomalies, and contribute to a more data-driven approach in managing user access within the client environment, resulted in improved operational efficiency.
  • Knowledge Transfer and Team Collaboration: Conducted comprehensive Knowledge Transfer (KT) sessions for three new team members, facilitating their smooth onboarding and ensuring their proficiency in ticket handling and operational processes.

TECHNICAL SKILLS:

  • Programming Languages: Python
  • Libraries: NumPy, Pandas, Matplotlib, Seaborn
  • Databases: MySQL
  • Tools: Microsoft Power BI, Sailpoint Identity IQ
  • Documentation Tools: Microsoft Office Tools

Variable Energy Cyclotron Centre, Kolkata [2022]

Research Intern, Dept of Atomic Energy, Govt of India

  • Created an end-to-end fully functional AI system to recognize handshapes from Indian Sign Language videos and convert those into HamNoSys (Hamburg Notation System) Sequence.
  • Achieved 94.50% accuracy on the validation set, where the Deep Learning model extracted the features from ISLRTC videos, and mapped to 6 basic types of shapes assigning probability values.