Ashutosh Pangare

I am an AI and Data Science professional with dual master's degrees in Data Science and Computer Science, experienced in building machine learning models and designing scalable data systems. I have worked in startup environments and contributed to analytics-ready architectures and dataset preparation for AI-driven analytics.

At Morzetech I explored AI-driven product capabilities such as sentiment analysis and recommendation systems, designed backend data structures using Firebase Firestore, and built Python workflows for data preprocessing and exploratory analysis using Pandas and NumPy. I participated in data quality discussions including identifiers and consistency for future analysis.

Previously at Sigma AI I worked on large-scale language datasets performing annotation and validation, ensuring dataset consistency and accuracy through structured labeling and quality control processes to support ML and NLP model training.

My project work includes an IPL player predictive model with 82% accuracy and a medical image classification CNN (ResNet50) trained on 10,000+ images reaching 90% accuracy. I bring practical experience in Python, SQL, feature engineering, and Generative AI concepts, and I am eager to apply these skills to build reliable, production-ready data products.