VISHAL WAGHMARE

Machine Learning Engineer with an experience of 3+ years in building ML/DL models & deploying them on GCP using CI/CD tools.

Solved numerous business problems using AI and Statistical tools/Quantitative analysis.

Motivated in working around Deep Learning & ML Operations and looking forward to utilizing the skills towards organization's growth.

Google’s Associate Cloud Engineer Certification

● Achieved top 4% performance on Titanic dataset by building Random Forest Classifier with 84% val accuracy and 80% test accuracy on passenger survival status prediction

● Built a House price predictions regression model with test RMSE 0.14 (top 2000), trained on a given dataset having 80 columns, using XGBoost Regressor

● Fine-tuned Spacy3’s NER model to build Sentiment text extraction models with the accuracy of 70% and 86% for +ve and -ve sentiment models respectively

● Fundamentals of Computing

● Applied Probability and Statistics
● Data Mining