Nawaldeep Singh Email and Phone Number

Key Projects:1• Managed the development and optimisation of the Traffic Index Model:• Improved data fetching, reducing execution time from 2 hours to 15 minutes.• Fixed bugs that caused failures on specific weekdays.• Automated execution to improve scalability and reduce manual work.• Leveraged MLOps to fine-tune hyperparameters and streamline deployment.• The model, powered by XGBoost and OSRM, improved route prediction and fleet allocation, reducing delays.2• Optimized EV charging through the Power Cut Tracker:• Designed and implemented a tracker to monitor power outages and identify problematic hubs.• Expanded coverage to Bengaluru and overcame multiple errors due to manual input..• Automated execution using Databricks and applied MLOps for hyperparameter optimization.• Improved energy management, reduced downtime, and optimized fleet charging.3• Developed features for an automated slot-opening system:• Created features incorporating Delays, Nearby Drivers, Online Drivers, and Pick-Drop locations.• Replaced rule-based decisions with an automated hourly system.• Enhanced resource allocation and reduced inefficiencies in slot availability.4• Supply and Demand Analysis:• Built a dashboard aggregating data from databases and S3, providing hourly summaries of supply and demand.• Tracked key metrics like Idle Hour %, Completed Rides, and Missed Demand.• Provided insights that improved fleet performance and strategic decision-making.5• Express Ride Performance Analysis:• Conducted analysis of ride availability across regions.• Identified dips in availability and root causes.• Recommended strategies to enhance ride availability and customer satisfaction.6• Built and deployed machine learning models and automated data pipelines:• Automated data pipelines for real-time updates in models like the Traffic Index and slot-opening system.• Improved reporting efficiency and data visualization for leadership.

Led numerous hiking activities, engaging students in outdoor exploration and adventure. By managing trip funding and organizing well-planned excursions, we've been able to bring students along for these enriching experiences at a significantly reduced price.

Engineered an AI-based system for vehicle and violation detection, achieving an impressive detection accuracy of 92%. By implementing Python, OpenCV, Keras, and TensorFlow on Raspberry Pi hardware within a budget of under Rs 20k, I was able to create an efficient and cost-effective solution. Leading a team of 3, we demonstrated the software's capability in traffic violation detection, enhancing not only the technology but also my project management skills.

Formula Trinity is a student-lead Formula Student team for the FSAI and FSUK competition. As part of the control department, worked on path planning and control velocity and steering based on co-ordinates.

Organized and planned various events related to investment and trading in College. Learnt a lot about topics in Finance and Investment.

Organized and planned various ollege excursions and hiking trips.c

ˆ Created LSTM and GRU models for stock price prediction, improving prediction accuracy by 23%.ˆ Increased simulation profits through researching and implementing innovative trading strategies.

ˆ Facilitated the exchange of students from India to various destinations worldwide.ˆ Developed cross-cultural communication and organizational skills through managing and coordinating interna-tional exchanges.

Organized the technical events for Thapar's main fest, which included Robo Wars, Automated Car Racing, Coding Competions and more.