Shreyash Prajapati
About Candidate
AI/ML Engineer and Data Scientist with 3+ years of combined experience in Machine Learning, Deep Learning, Computer Vision, and Python. Experienced in developing end-to-end ML solutions using Python, Scikit-learn, pandas, and NumPy, with hands-on experience in predictive modeling, feature engineering, model evaluation, and computer vision. Worked on credit-risk analytics and logistics prediction projects, and upgraded a YOLOv6-based table detection system to YOLOv8, improving detection accuracy by 15%. Currently pursuing an MSc in Business Analytics and holding an M.Tech in Data Science.
Location
Education
Work & Experience
● Developed and evaluated machine learning models for credit scoring and risk analytics using Python and Scikit-learn, supporting data-driven business decisions.
● Performed data preprocessing, cleaning, exploratory analysis, feature engineering, and model development on financial datasets.
● Built data-processing pipelines and machine learning workflows to improve operational efficiency in financial data processing.
● Upgraded a computer-vision table detection system from YOLOv6 to YOLOv8, improving detection accuracy by 15% and enhancing automated document data extraction.
● Collaborated with stakeholders to translate real-world problems into analytical and machine learning solutions
● Mentored 25+ real-world machine learning and analytics projects, covering data preprocessing, exploratory analysis, predictive modelling, and model evaluation.
● Guided learners through end-to-end machine learning workflows using Python, including feature engineering, model development, evaluation, and interpretation.
● Delivered hands-on training in Python, machine learning, data analytics, and predictive modeling through practical projects.
● Guided learners in implementing end-to-end analytics and machine learning workflow using real-world datasets
● Performed exploratory data analysis and data preprocessing on large datasets using Python.
● Supported AI projects involving YOLO, BERT, and GANs for client-specific machine learning and deep learning use cases
● Built a Django-based eClinic management system with database integration.
● Developed a Django-based eClinic management system with database integration and web application functionality.