HARSHAL SHINDE
@harshalshinde
Data Scientist at General Mills
Mumbai, India
Harshal Shinde is a Data Scientist at General Mills with expertise in Deep Learning, Machine Learning, and Computer Vision. He has extensive experience developing mobile applications for product recognition and performing complex time series forecasting. Harshal holds an MTech in Artificial Intelligence from NMIMS and has a background in manufacturing and mechanical engineering.
Experience
Data Scientist
General Mills
Image classification using Deep Learning – Developing a mobile App for recognizing products and recipie suggestion. Gaining insights from the company database about various food products to and the top trending food recipes and the company products used in the corresponding recipes. Training a multiple Deep Neural Network to classify between different raw and company products. Selecting the best model and deploying the model on a mobile platform using Flutter and Dart. Creating Demand Spaces to study the existing and upcoming trend in product labels using label insights data. Preprocessing the data to identify sunsetting, declining, growing and new UPCs. Using Factor Analysis to cluster similar Product Insights (PI’s) to create Themes/Clusters. Further analyzing each theme/cluster to identify trends which can help business to place the products in a competitive way. Time series forecasting to forecast the number of sales clocked by the company for its different regions across America and Europe. Application of Structural Equation Modelling (SEM) on the survey data to find the relative importance of variables.
Freelancer
Fiverr
Worked on various projects on Machine Learning, Deep learning, Computer Vision, NLP.
Education
Narsee Monjee Institute of Management Studies (NMIMS)
MTech
Artificial Intelligence
Vellore Institute of Technology
MTech
Manufacturing Engineering
Sinhgad College of Engineering
B.E
Mechanical Engineering