About
Education
Maharaja Surajmal Institute of Technology (2019 – Present)
Bachelor of Technology in Computer Science and Engineering (CGPA: 8.83/10)
Throughout my four years of study, I took courses in programming, algorithms, artificial intelligence, data structures, databases, and statistics, which provided me with a solid understanding of the technical skills necessary for a career in data science. I also worked on various projects, such as developing a machine learning model for Customer Churn Prediction, Optimal Bidding Prediction for Amazon ad tags, and built a WhatsApp Chat Analyzer. I am currently engaged in ongoing research in NLP for video summarization, which has given me a deep understanding of NLP techniques and their applications.
Work Experience
Code for GovTech 2023 (Sunbird Inquiry)(1/Jul/23 to 6/Sep/23)
Machine Learning Engineer (Open Source Developer)
Developed a customized AI tool from scratch for generating subjective and objective questions from PDFs and text, meeting specific user needs.
Pioneered a feature-rich AI tool streamlining learning and assessment through customizable question generation, with plans for integration into the Government's Diksha Platform.
Contributed to the Sunbird Inquiry project, revolutionizing education by enhancing content delivery through our AI tool empowering educators and learners with dynamic question generation.
Ministry of Electronics & Information Technology (12/Apr/23 to 12/Jul/23)
Data Science Intern
Analyze data sets, taking the initiative to identify trends and patterns to support decision-making processes.
Conduct an in-depth analysis of the eCourt and High Court websites, examining user behavior and system performance.
Assist in building problem statements based on data analysis, contributing to the development of effective solutions.
Juppiter AI Labs Pvt Ltd (1/Aug/22 to 1/Oct/22)
Data Science Intern
Built chatbot for property marketplace on website and Facebook.
Bots manage lead generation, email, docs, and credit scores.
Used NER to extract data from buyer’s docs to central DB, a streamlined process with no human intervention needed.
Amazon ML Summer School 2022 (1/Jul/22 to 31/Jul/22)
ML Scholar
Completed advanced coursework in topics including Dimensionality Reduction, Causal Inferencing, and RL.
Attended lectures and seminars led by industry experts.
Interacted with leading scientists and gained exposure to cutting-edge data science innovations and advancements.
Fellowship.ai (6/Sep/21 to 24/Dec/21)
Data Science Intern
Developed a contextual bot for tracking athletes’ performance, diet, and health records.
Integrated bot with Facebook’s Blender bot and created APIs to support functionality.
Gaining experience in creating and integrating bot technology in real-world applications.
MissionEd (30/Jun/21 to 30/Aug/21)
Data Science Intern
Worked on a project to classify spam comments on MissionEd Forum using NLP techniques and ML algorithms.
Applied BERT transformers to improve classifier performance, achieving accuracy and an F1 score of 0.98
User experience improvement, showcasing adeptness, working efficiently with practical data, and providing value to the community.
Areas of Interest
Machine Learning
Natural Language Processing
Data Analytics
Reinforcement Learning
Computer Vision
Technical Skills
Programming Languages
Framework & Technologies
Developer Tools & Platforms
