Parth Mehta Email & Phone Number

Toronto, ON, CA

Halifax, Nova Scotia, Canada

- Engineered an AI-driven project management model that improved decision-making by 50% for senior IT leadership, predicting project health, budget, and expenditure.- Automated data pipelines integrating Microsoft Dataverse, SharePoint, and Power Automate, reducing manual data entry by 70% and increasing data accuracy by 37%.- Developed and deployed Power.

India

- Delivered AI-driven solutions for over 10 high-profile clients, integrating ML, NLP, and Computer Vision with Azure cloud, saving clients $5M annually.- Developed an NLP-based parser using Azure ML and BERT, achieving 95% accuracy in document processing, improving speed by 25%.- Migrated a hybrid AWS/on-premises architecture to Microsoft Azure, boosting.

Ohio, United States

- Developed a custom OCR model using Computer Vision, improving text recognition accuracy by 10% and enhancing document processing speed by 20%.- Built and deployed an easy-to-use Streamlit UI for the OCR model, increasing user adoption and accessibility for non-technical users.- Conducted benchmarking and statistical analysis using AWS and GCP, ensuring.

As an Intern, I worked on 3 projects:1. Establishing Financial Data Feeds2. Front-end Web Development3. Data Visualization with Perspective

2020 Call for Code® Global Challenge

Gujarat, India

- Developed 300+ Python tutorial videos covering installation, programming basics, data manipulation, and visualization, data analysis, helping 100+ students advance from beginner to expert levels.- Designed and produced video content end-to-end, including scripting, coding demonstrations, and editing, using OBS Studio, Jupyter Notebooks (VS Code) for.

Gujarat, India

- Built a customer churn prediction model using XGBoost, improving retention rates by 20% for a financial services firm.- Automated Python-based ETL pipelines to process real-time customer data, enabling data-driven decision-making.- Developed Power BI dashboards to visualize trends, allowing management to take proactive measures on high-risk customers..

Gujarat, India

- Designed a predictive maintenance model using Random Forest and Gradient Boosting, reducing system downtime by 20%.- Implemented data preprocessing pipelines with Python and Pandas to clean and transform unstructured financial data, improving model training efficiency by 30%.- Developed a sentiment analysis tool using NLP techniques to analyze customer.

Master'S Degree, Computer Science

Bachelor'S Degree, Information Technology