Siddharth R Bhardwaj

I am a third-year data science student with hands-on experience in machine learning, deep learning, and data visualization. My skill set includes data preprocessing, exploratory data analysis, regression techniques, tree algorithms, and clustering models, along with solid foundations in Python, SQL, and NoSQL. I have applied these skills in projects like predicting the Human Development Index (HDI) for Indian states using socioeconomic indicators and building a real-time distance measurement system for forklifts using YOLO and OpenCV, enhancing workplace safety through AI-driven solutions. With proficiency in tools like PowerBI and advanced statistical methods, I aim to leverage data for impactful insights and solutions.

1. Predictive Modeling for Human Development Index (HDI) of Indian States and Union Territories 

Developed a machine learning model to predict the HDI of Indian states and union territories using socioeconomic indicators like health index, educational index, and income index. The dataset was collected through web scraping and analyzed with multiple regression models, including Linear Regression, Decision Tree Regressor, Random Forest Regressor, and KNN Regressor. Hyperparameter tuning and Random-Forest-based feature selection revealed key factors affecting HDI, providing valuable insights for data-driven policymaking. 

2. Horizontal Distance Measurement between Forklifts using YOLO and OpenCV

 Implemented a real-time object detection system using YOLO and OpenCV to measure horizontal distances between forklifts in an industrial environment. The system processes video frames to detect forklifts and calculates distances using pixel-to-real-world scaling. This solution enhances safety by alerting operators when forklifts are in close proximity, mitigating collision risks. 1 

3. Dynamic Vertical Distance Measurement in Industrial Applications 

Developed a dynamic vertical distance measurement system utilizing computer vision techniques to monitor and analyze vertical spacing in industrial settings. The project employed OpenCV and image processing algorithms to accurately detect and measure distances between objects, improving operational safety and efficiency.

• Student Council Member (2024-25)
• President, Data Science Association (2024-25)
• Peer Educator, Center for Counseling and Healthcare (2023-24)
• Coordinator, Zavion’24 (National Level Tech Fest) (October 2024)

Other Responsibilities:

• Creator - The Blueprint (2022-23)
• Class Representative (2023-24)
• Vice-President, Data Science Association (2023-24)
• Events Head, Geeks for Geeks (2023-24)
• Placement Coordinator (2024-25)
• Teaching Volunteer, Center for Social Action (2023-24)

PUBLICATION

Lessons in Behavioural Finance: From Day-to-Day Investors (Co-authored) 

PRESENTATION 

Presented a paper on Burning Number for Certain Families of Chemical Graphs at the International Conference on Computational Engineering ICCE-2023 (December 2023).

Communicating to Succeed