Omkar Sabnis

DevOps Engineer

Folsom, California, United States4 yrs 3 mos experience

Most Likely To Switch

Key Highlights

Developed AI solutions for complex trade queries.
Improved tuberculosis diagnosis speed and accuracy.
Analyzed cancer biomarkers using advanced data techniques.

Stackforce AI infers this person is a Data Scientist with expertise in AI solutions for Healthcare and Fintech industries.

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Skills

Other Skills

Web DevelopmentProject ManagementOperating SystemsManagementLeadershipPublic SpeakingDatabase Management System (DBMS)R

About

As a Data Science Graduate Student at USC, I am pursuing my passion for Machine Learning, Deep Learning, and Natural Language Processing, exploring the latest techniques and innovations in this domain. I am actively looking for opportunities to apply my skills and knowledge to real-world problems and challenges. I have 1+ year of industry experience as a Data Scientist at Societe Generale, where I contributed to the development and deployment of a deep learning-based semantic parsing module for Veritrade, a product that enables users to execute complex trade queries using natural language. I also interned at Intel as a GPU AI Software Engineer, working on driver development and testing. My goal is to continue developing AI-based solutions for multiple domains, leveraging my strong background in Computer Science, Mathematics, and Bioinformatics.

Experience

4 yrs 3 mos

Total Experience

1 yr

Average Tenure

2 yrs 3 mos

Current Experience

Intel corporation

AI Software Development Engineer

Jan 2024 – Present · 2 yrs 3 mos · Folsom, California, United States · On-site

Easley-dunn productions, inc.

Game Economy Analytics Team Manager

Jun 2023 – Jan 2024 · 7 mos · Los Angeles, California, United States · Hybrid

Intel corporation

2 roles

GPU AI Software Engineering Intern

Jan 2023 – May 2023 · 4 mos · Folsom, California, United States · Hybrid

GPU AI Software Engineering Intern

May 2022 – Aug 2022 · 3 mos · Folsom, California, United States

Usc alfred e. mann school of pharmacy and pharmaceutical sciences

Data Analytics Student Researcher

Sep 2021 – May 2022 · 8 mos · Los Angeles, California, United States · On-site

Worked under Dr. Houda Alachkar to study Acute Myeloid Leukemia.

Societe generale global solution centre - artificial intelligence and innovations group

Associate Data Scientist

Aug 2020 – Aug 2021 · 1 yr · Bengaluru, Karnataka, India

As a part of a product called Veritrade, I am developing a new feature - a pilot meaning representation module that uses deep learning to convert semantically similar but syntactically different natural language statements into a standard logical form that Veritrade can understand and execute.
A member of the AI team that is developing a Deep Learning based semantic parsing module called SEMSE. SEMSE is a project that aims to create a system that can take in a user query and find semantically similar documents in various languages like English, French, Romanian and German.

Sigtuple

Data Science Intern

Dec 2019 – May 2020 · 5 mos · Bengaluru Area, India

Working on developing a Deep Learning solution to diagnosing Tuberculosis - improving the accuracy of the TB Sputum smear test and reducing the diagnostic time from 1-2 days to 1.5 minutes.

Nh_mazumdar shaw cancer center

Data Science Intern

May 2019 – Jul 2019 · 2 mos · Bengaluru Area, India

Worked on an individual project – “Data Analysis of Copy Number Variation Data and DNA methylation data for finding useful biomarkers in Glioblastoma Multiforme” – an aggressive brain cancer.
Contributed to a project – “Recursive Consensus Clustering” – a novel algorithm designed at the institute and funded by the Indian Council for Medical Research by doing algorithm analysis, testing and hosting the visualizations on a website.

Indian institute of science (iisc)

Machine Learning Intern

Apr 2018 – Jul 2018 · 3 mos · Bengaluru Area, India

Developed Sentiment and Semantic Analysis Systems using Convolutional Neural Networks in tandem with models like Word2Vec, Doc2Vec and Siamese CNNs. The project involved on understanding the principles of Natural Language Processing and how it can be used in analysing trends on Social Media.
Worked on mini-projects to use Machine Learning and Deep Learning algorithms to solve multiple problems - Cancer Detection, Sentiment Analysis, Classification, Guiding Self Driving Cars etc.