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Omkar Firame

@omkarfirame

Data Scientist at Tata Consultancy Services

Pune

https://www.linkedin.com/in/omkar-firame/

TATA CONSULTANCY SERVICESCentre for Modelling and Simulation, SPPU, Pune

Data Scientist with strong Machine Learning foundation and 2.5+ years of experience in developing robust ML models using predictive data modelling, analyze data to deliver insights and implement action-oriented solutions to complex business problems.

Experience

DATA SCIENTIST

TATA CONSULTANCY SERVICES

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Accumulated data from Azure data lake, designed and built flow for Data Preparation, Data Cleaning, Model building. Developed a KubeFlow and Manual pipeline using mlrun MLOps orchestration framework on Iguazio platform which scheduled to run daily, weekly, monthly. Schematized the data according to API requirements. Built a custom classifier using base estimator from sklearn to solve classification problem. Developed a logic for regeneration of failed pipeline. Used Dask distributed for large data handling.

INTERN - DATA SCIENCE

THOUGHTWORKS TECHNOLOGIES INDIA PRIVATE LIMITED

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Application of machine learning in medical field to predict properties of newly developed drugs based on its chemical composition. Built a automated scripts to process raw data to required format using python libraries like chemoPy, PyBioMed, Modred, etc. Applied different feature selection techniques for selecting important features. Used BERT embedding for feature formation. Achieved overall 6th position in Tox21 drug toxicity prediction challenge (2014 - 15) with average AUC score of 0.8347.

Education

Centre for Modelling and Simulation, SPPU, Pune

M.TECH

MATHEMATICAL MODELLING AND SIMULATION

Jan 2020Grade: 8.11

Bharti Vidyapeeth's College of Engineering, Kolhapur

BE

MECHANICAL ENGINEERING

Jan 2016Grade: 60.83%

Licenses & Certifications

MFDM™ AI Aware Certification

Building Deep Learning Applications with Keras 2.0

Statistics Foundation

Skills

Python
Machine Learning
Deep Learning
Numpy
Pandas
Dask
Keras
Git
MLRun
Iguazio
Kubeflow pipeline
Azure DataBricks