Highlights:

Skills:Python, Machine Learning, Data Analytics, AWS Serverless, Terraform, MLOps, Databricks

Machine Learning Engineer 07/2021 - current
Excellarate PVT. LTD., Pune, Maharashtra India
Machine Learning Engineer with 3+ years of experience in delivering solutions to complex business problems using ML techniques. I have been a part of the core ML Research team since 2019 at Synerzip (Excellarate).
Worked on problem statements like SaaS AWS architecture development, Stock Marketing Insight website, Text extraction, and Activity Classifier. Developed SaaS architecture with terraform. It is a serverless architecture that serves as a linguistic Normalization algorithm for the inventory management system. Admin API serves functionalities like full-text search, sorting, pagination, and CRUD operations on the data in AWS DynamoDB. For news sentiment analysis used SentimentIntensityAnalyzer from the nltk’s sentiment algorithm which uses Vader sentiment analysis. The algorithm returns a compound score for the news. By applying the threshold of 0.5 we returned sentiment (i.e. Positive / Negative). A score above +0.5 is a Positive sentiment score, in between +0.5 to -0.5 it’s Neutral and below -0.5 it’s Negative. In activity classification we use Turi Create’s activity classifier creating a deep learning model capable of detecting temporal features in data, lending towards activity classification. The model is capable of classifying the activity with 90% accuracy. Text Extraction of diseases/abnormalities and their medical drugs prescribed by doctors. The requirement was to extract information and share the structural documentation. To tackle this problem we created the medical dictionary and applied word vectorization, lemmatization, and similar NLP techniques.--
Jr. Software Engineer 11/2018 - 06/2021
Excellarate PVT. LTD., Pune, Maharashtra India
Machine Learning Engineer with 3+ years of experience in delivering solutions to complex business problems using ML techniques. I have been a part of the core ML Research team since 2019 at Synerzip (Excellarate).
Worked on problem statements like SaaS AWS architecture development, Stock Marketing Insight website, Text extraction, and Activity Classifier. Developed SaaS architecture with terraform. It is a serverless architecture that serves as a linguistic Normalization algorithm for the inventory management system. Admin API serves functionalities like full-text search, sorting, pagination, and CRUD operations on the data in AWS DynamoDB. For news sentiment analysis used SentimentIntensityAnalyzer from the nltk’s sentiment algorithm which uses Vader sentiment analysis. The algorithm returns a compound score for the news. By applying the threshold of 0.5 we returned sentiment (i.e. Positive / Negative). A score above +0.5 is a Positive sentiment score, in between +0.5 to -0.5 it’s Neutral and below -0.5 it’s Negative. In activity classification we use Turi Create’s activity classifier creating a deep learning model capable of detecting temporal features in data, lending towards activity classification. The model is capable of classifying the activity with 90% accuracy. Text Extraction of diseases/abnormalities and their medical drugs prescribed by doctors. The requirement was to extract information and share the structural documentation. To tackle this problem we created the medical dictionary and applied word vectorization, lemmatization, and similar NLP techniques.--

Shivaji University 07/2015 - 04/2018
Sangli, Maharashtra, India
Degree: Bachelor's Degree
Major:Computer Science
Bachelor of Computer Science: 75.63% (First class with Distinction)

OmkarSahasrabudhe_Resume