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Sanjay Kumar

@sanjaykumar3

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PhD candidate specializing in data science and parallel computing.

India

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What I'm looking for

I seek a collaborative environment that fosters innovation and growth in data science.

I am a dedicated PhD candidate at the Indian Institute of Science, Bangalore, where I am developing an innovative alignment framework for ORFan protein sequences. My research focuses on leveraging data parallelism for high-performance computing systems, addressing significant gaps in existing alignment tools. This work not only contributes to the field of bioinformatics but also enhances the understanding of protein families through advanced clustering techniques.

With a strong background in computer technology and engineering, I have accumulated diverse experience in both academic and practical settings. My roles have included project associate and assistant, where I contributed to significant research projects involving big data processing and bio-application design. As a freelancer and data science trainer, I have honed my skills in coding and teaching, focusing on machine learning, artificial intelligence, and deep learning concepts.

Experience

Work history, roles, and key accomplishments

Current

Freelancer

Current

Self Employed

Jul 2019 - Present (5 years 11 months)

Worked with global clients on various projects, adapting to evolving technologies and requirements while enhancing problem-solving skills.

Client Management Software Development Problem Solving Adaptive Technology

Current

Data Science Trainer

Current

Careerera

Aug 2021 - Present (3 years 10 months)

Trained students in data science concepts, focusing on machine learning, artificial intelligence, and deep learning over one and a half years.

Data Science Machine Learning AI Deep Learning Training

Chegg Tutor

Chegg

Sep 2017 - Jul 2019 (1 year 10 months)

Tutored students in various subjects, gaining exposure to competitive technologies and current research problems while working with diverse learners.

Python Perl C++Java Verilog

Project Assistant

Indian Institute of Science

Aug 2014 - Aug 2015 (1 year)

Researched, designed, and implemented bio-applications, emulating MPSoC based implementation of Smith Waterman sequence alignment on ML510 Virtex-5 board.

Bioinformatics Research

Project Associate

Indian Institute of Science

Apr 2016 - Jul 2016 (3 months)

Conducted research on storage and processing of Big Data generated from Kumbh-Mela experiments. Configured the Pegasus2 R6 storage RAID system for efficient data access.

Big Data Data Processing Research Data Storage

Education

Degrees, certifications, and relevant coursework

Indian Institute of Science

PhD Candidate, Bioinformatics

2009 - 2016

Developing an alignment framework for ORFan Protein sequences. The core contribution of this dissertation is the development of an alignment framework which associates ORFan protein sequences to known protein families, addressing limitations of existing alignment tools.