Kuldeep Bhardwaj

KULDEEP BHARDWAJ ACADEMIC DETAILS Year --2017 Degree / Board B.Tech in Electrical Engineering (Power and Automation) RBSE 2015 RBSE Institute GPA / Marks(%) Indian Institute of Technology Delhi 5.55 Shiv Jyoti Senior Secondary School, 87.60 Kota Shree Rajeshwar Vidya Mandir, 93.17 Mandar SCHOLASTIC ACHIEVEMENTS • Joint Entrance Examination (JEE) Advanced: Secured AIR 2991 (GE) out of 2 lakh students (2018) • Joint Entrance Examination (JEE) Mains: Secured AIR 7692 (GE) out of 12 lakh competing students (2018) • District Merit: Secured 5th rank in 10th board examination among 10,000+ students in the district (RBSE) (2015) INTERNSHIPS • Data Analyst Intern, AdCity Mart Pvt. Ltd. | DELHI | Natural Language Processing (May, 2021 - July, 2021) - Built BERT-based NLP pipeline for topic modeling customer feedback, boosting sentiment detection accuracy by 35% - Automated agent performance tracking with Pandas & NumPy, cutting manual analysis time by 70% across reporting cycles - Deployed scalable workflows with AWS, streamlining data pipelines and improving overall data handling efficiency - Built like/dislike feedback system for customer support, boosting feedback by 60% and cutting unresolved queries by 25% PROJECTS • Urban Mobility Data Analysis: Ride Demand Forecasting | Time-Series Forecasting (Feb, 2024 - March, 2024) - Analyzed Uber ride records to uncover spatiotemporal demand patterns, peak hours, and location trends - Built time -series forecasting models with Streamlit dashboard to predict and visualize ride demands - Implemented data pipelines with Pandas and SQL for cleaning, storage, querying, and geospatial visualization for insights • Personalized Retail Product Recommendation System | ML, Recommender Systems (Sep, 2024 - Nov, 2024) - Built a hybrid recommendation system by integrating Collaborative filtering, matrix factorization, content-based ML - Built a modular ML pipeline for preprocessing, training, and evaluation (Precision@K, Recall@K) on 100K+ records • Credit Card Fraud Detection | Deep Learning, Model Interpretability (Feb, 2025 - April, 2025) - Built a robust deep learning fraud detection system on 100K+ financial transactions using PyTorch/TensorFlow - Addressed <1% class imbalance using SMOTE, undersampling, and class-weighted supervised and unsupervised models - Evaluated models with ROC-AUC and Precision-Recall and applied SHAP/LIME to explain key fraud drivers • Pac-Man Navigation System for Maze World | Data Structure and Algorithms (Sep, 2024) - Developed a 2D Pac-Man navigation system using graph traversal (DFS) to find safe, optimal paths around ghosts - Built OOP Navigator with stack-based traversal, backtracking, and visited-cell tracking for efficient maze exploration TECHNICAL SKILLS • Programming Languages and Software: Python, Java, C++, MATLAB, VS Code, GitHub, Jupyter Notebook, Solidworks, Postman • ML and AI Libraries: NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, Seaborn, Keras, Streamlit • AWS and Databases: EC2, S3, Lambda, SQS, MongoDB, DynamoDB | Certificate: Algorithmic Toolbox (Coursera) • Relevant Courses: Probability and Stochastic Process, Data Structures and Algorithms, Data Science, Digital Signal Processing EXTRA CURRICULAR ACTIVITIES • OCS Volunteer, Office of Career Services (August, 2019 - March, 2020) - Acted as a liaison between the Institute and company executives, ensuring clear communication and decorum - Assisted in organizing career service events, handling logistics and fostering a positive recruiter-student environment POSITIONS OF RESPONSIBILITY • Volunteer, Indian Road Safety Campaign (IRSC) (Jan, 2020) - Raised public awareness on road safety and traffic rules during the Indian Road Safety Campaign at Red Fort - Distributed educational materials and engaged diverse audiences to promote safe driving and accident prevention - Demonstrated leadership and communication to ensure campaign success and promote key safety messages • Junior Engineer, Accumulator Department, Axlr8r Formula Racing Club (Aug, 2018 - March, 2020) - Contributed to Formula Student Germany 2019, securing 25th rank among 100+ universities in the EV category - Maintained and optimized Li-ion battery systems, ensuring peak performance and safety under high-stress race conditions - Designed and implemented a 3D-printed cell holder for parallel-series configuration to support a 110 V battery system Disclaimer: All the information on this page is entered by student. Page 1 KULDEEP BHARDWAJ IIT COURSE Degree B.Tech in Electrical Engineering (Power and Automation) Institute Indian Institute of Technology Delhi CGPA 5.55 COURSES DONE Intro. To Electrical Engg., Calculus, Electromagnetic Waves&qua.mec., Engineering Mechanics, Introduction To Chemistry, Engg. Visualization & Comm., Product Realization Through Manufacturing, Linear Algebra & Diffe. Equa., Intro. To Computer Science, Digital Electronics, Electromechanics, Signals And Systems, Principles Of Elect. Materials, Intro. To Biology For Engineer, Introduction Tooceanography, Power Electr. & Energy Devices, Environmental Science, Modern Fiction, Operations Management, Introduction To Psychology, Embedded Systems, Microeconomics, Conservation And Recycling Practices In Rural Areas, Minor Design Project - I, Public Finance And Public Economics, Electromechanics, Thermal Sc. For Ele. Engineers, Power Engineering-i, Special Module On Inner Development 1, Thermal Sc. For Ele. Engineers, Digital Signal Processing, Calculus, Power Systems Protection, Power Electronics, Power Engineering-ii, Data Structures And Algorithms QUALIFYING EXAM • Joint Entrance Examination (JEE) Advanced Rank: 420 (OB) EXTRA CURRICULAR ACTIVITIES • 'OCS Volunteer (OCS Volunteer ECA 2020-21) • Office of Career Services (August, 2019 - March, 2020) ' Disclaimer: All the data on this page is coming from IIT system. Page 2