Experience

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  The sparks foundation

  Mar 2020 - Jul 2020

  Data science & analytics intern
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  Medtoureasy

  Aug 2020 - Nov 2020

  Data analyst intern

  • Developed and deployed a machine learning model using advanced classification algorithms, including Random Forestsand Gradient Boosting Machines (GBM), resulting in a 25% increase in donor turnout and enhanced campaigneffectiveness.• Engineered and integrated a scalable analytics dashboard with Tableau for dynamic and interactive data visualization,coupled with MongoDB for efficient and scalable data management, enabling detailed analysis of medical facilityperformance metrics across multiple regions. Show less

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  Tata consultancy services

  Jul 2021 - Aug 2024

  Ai developer

  • Developed Adversarial Robustness Techniques for Table Detection: Engineered adversarial robustness techniques using TableNet for table detection, achieving 0.97 precision and 0.94 extraction, surpassing state-of-the-art models on the Marmot dataset. This work, part of TCS Wisdom AI, is currently under review.• Improved Cheque Signature Verification System: Designed a signature verification system using CNNs, reducing the Equal Error Rate (EER) to 2.4% and cutting manual intervention by 40%. Deployed the solution on AWS EC2/S3, leveraging OpenCV and TensorFlow for efficient processing and scalable storage.• Automated Floor Plan Analysis and 3D Visualization: Automated area detection and 3D floor plan visualization using Masked R-CNN, Vision Transformers, and 3D mesh generation techniques (AtlasNet, Pix2Mesh), reducing delivery time by 55%. Integrated with Docker Compose to manage multi-container applications for seamless execution.• Leadership in AI/ML Mentorship: Led the Tech FM chapter at TCS, mentoring over 30,000 members, including interns and executives, in AI/ML technologies. Guided teams through complex technical challenges and fostered an environment of continuous learning and growth.• CI/CD Pipeline Creation and System Optimization: Developed and maintained CI/CD pipelines using Jenkins and Airflow, automating the build, test, and deployment processes for reliable software releases. Led system troubleshooting and performance tuning initiatives, enhancing scalability and ensuring efficient handling of increasing transaction volumes.• Led technical troubleshooting and performance tuning, enhancing system scalability and performance to manage increasing transaction volumes efficiently. Show less

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  University of maryland

  Jan 2025 - now

  Graduate teaching assistant

  • Assisted in teaching INST 414 Data Science Techniques course at the College of Information, University of Maryland.• Conducting Office Hours: Providing individualized assistance to students, addressing their questions, and clarifying complex topics related to data extraction, cleaning, analysis, and visualization.• Leading Practicum Labs: Facilitating hands-on sessions where students apply theoretical concepts using programming languages such as Python and R. This includes guiding them through data scraping exercises, implementing clustering, classification, and regression techniques, and utilizing tools like Jupyter Notebook for data analysis.• Reviewing and Grading: Assessing assignments, labs, and exams, ensuring that students receive constructive feedback to enhance their understanding of supervised and unsupervised learning methods.• Clarifying Subject Concepts: Breaking down complex data science principles and methods to make them accessible, thereby aiding students in grasping the practical applications of these concepts.• Managing Course Logistics: Overseeing the publication of assignments, monitoring deadlines, and maintaining clear communication channels to keep students informed about course updates and requirements.• Assisting in Course Improvement: Collaborating with the instructional team to suggest and implement refinements that enhance the curriculum and overall learning experience. Show less