Projects
Experienced Data Scientist adept in analytics, ML, and NLP. Skilled in Generative AI model development and deployment. Certified in Six Sigma, Python, SQL, Power BI, and AWS Data Analytics. Expert in data manipulation, cloud computing, and visualization for strategic decision-making.
Project 01: Global Coding Automation
This project focuses on implementing a Python-based automation solution to streamline the data consolidation process for master files on SharePoint. Designed for a team of 30 users, the automation aims to reduce manual data entry, enhance accuracy, and save time. By utilizing key Python libraries such as Pandas, Openpyxl, and Requests, the project successfully automates daily updates to the master file. Click below to access the case study:
Project 02: Walmart Stock Financial Risk Assessment
This project provides an in-depth analysis of Walmart's stock, guided by Prof. Pratik Bedi, to offer valuable insights for aspiring financial analysts. It covers financial health, market strategy, and future outlook using advanced models such as DCF, CAPM, Monte Carlo simulations, and time-series forecasting. Click below to access the case study:
Project 03: Global Code Tracker Automation
This project showcases the implementation of a Power Automate and Python-based solution to automate the processing of critical priority data from emails into SharePoint master files. Utilizing Power Automate for email processing and data integration, and Python for advanced data manipulation, the solution achieved a 10x increase in processing efficiency. Click below to access the case study:
Project 04: Notification Tracker for High Priority
This project implemented an automated notification system using Power Automate to ensure prompt responses to high-priority emails. By eliminating manual inbox monitoring, the solution triggers Microsoft Teams notifications and email alerts for high-priority emails, significantly improving response times and team efficiency. This automation streamlined our workflow, allowing the team to focus on more critical tasks. Click below to access the case study:
Project 05: Bridge & Tunnel Operation Analysis
This project analyzes vehicle flow across 11 major international bridges and tunnels between Ontario, Canada, and Michigan/New York, USA, from 2010 to 2022. Using data-driven insights, the study aims to optimize infrastructure and operations for seamless cross-border movement. Key objectives include identifying traffic patterns, enhancing infrastructure, and improving operations. The analysis provides actionable recommendations to address capacity, efficiency, and resource optimization at these critical crossings. Click below to access the case study:
Project 06: Sleep Health Analysis
This project aimed to identify sleep disorders and promote early interventions using a machine learning model. Analyzing a dataset of 374 entries with attributes like gender, age, and sleep duration, we developed a highly accurate classifier model. Leveraging Python, Pandas, Matplotlib, Scikit-learn, and Django, we provided data-driven insights, enhancing our understanding of sleep health and enabling personalized healthcare strategies. Click below to access the case study:
Project 07: Generative AI Chatbot
This project involved creating an AI chatbot for the St. Clair International Team to streamline the enrollment process. Using advanced NLP techniques, the chatbot was designed to provide accurate and timely information, enhancing the user experience for prospective students. The AI chatbot significantly enhanced the efficiency and accuracy of the enrollment process for the St. Clair International Team. This project showcased the potential of NLP and automation in improving educational support services, setting a foundation for future enhancements. Click below to access the case study:
