Ayush Patidar — Data Scientist
• Build Demand forecasting regression models for optimising demand planning for various FMCG-CPG companies , used Xgboost , lightgbm for forecasting. • Build Entity Embedding using Pytorch to extract unsupervised features for model training and helped in understanding of Product Similarities. • Worked on Building Adversarial Validation technique for building more generalised and robust models. • Implemented Snapshot Ensemble technique in Resnet-50 to reduce variance in output.
Stackforce AI infers this person is a Data Scientist specializing in machine learning and demand forecasting for FMCG-CPG industries.
Location: Bengaluru, Karnataka, India
Experience: 7 yrs 3 mos
Career Highlights
- Expert in demand forecasting using advanced regression models.
- Proficient in building robust machine learning models with Pytorch.
- Skilled in implementing ensemble techniques for model optimization.
Work Experience
Mobile Premier League (MPL)
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Senior Data Scientist (1 yr)
Data scientist 2 (1 yr)
Data Scientist 1 (1 yr 6 mos)
Feature Labs, Inc.
Open Source Contributor (0 mo)
Mate Labs
Data Scientist (2 yrs 1 mo)
Machine learning Intern (5 mos)
Education
Bachelor’s Degree at Rajiv Gandhi Prodyogiki Vishwavidyalaya
