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@kowshikch
Flag of India Chennai, India
Member since November, 2016
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kowshikch

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Building machine learning and deep learning algorithms are truly a passion of mine. I actively seek out new technologies, and stay up-to-date on industry trends and advancements. Evidence of my leadership and analytical skills can be seen in my responsibilities as data scientist intern at Lighthouse Company, and commitment towards data science can be conferred by my 2 research papers covering predictive analytics. The research articles got presented in reputed international venues. My expertise in predictive analytics can be easily accessed by my achievements in national and international competitions.I personally feel that literature review is always an added advantage for designing an algorithm. I feel that this one of the most important thing that my experience have taught me. I enjoy being challenged and working on projects that require me to work outside my comfort and knowledge set.
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Portfolio

Seneste bedømmelser

Ingen bedømmelser.

Erfaring

DATA RESEARCH AND DEVELOPMENT

Nov 2016

• Dealing with construction data • Developing machine learning models for delay predictions

Data Scientist

May 2016 - Aug 2016 (3 months)

• Worked on cutting edge problems in advertising analytics • Played a key role in developing a machine learning algorithm for TRP rating prediction in television media and networks • Developed an optimization algorithm for scheduling the advertisements in Television networks • Gained considerable experience in Python, Ensemble methods, Deep Neural networks, Predictive analytics Optimization, Ap-monitor, Big Data Management, project critical path analysis etc.

PYTHON INTERN

Nov 2015 - Feb 2016 (3 months)

• Contributed to open source using python. • Involved in Textbook campaigning • Completely documented and solved the Popov mechanics of materials book using data structures in python

Uddannelse

Bachelors in Civil Engineering and Minor in Mathematics

2014 - 2016 (2 years)

Certificeringer

Best Research paper award (2016)

UKIERE

Best Theme paper award for a research paper titled “ The statistical overview of sand Demand in Asia and Europe” by UKIERE CTMC’16 committee

Secured Rank 5 Nasscom analytics competition (2016)

NASSCOM

Healthcare machine learning competition

Secured Rank 2 nationwide and rank 41 worldwide in a machine learning competition (2015)

Prudsys, Germany

Secured Rank 2 nationwide and rank 41 worldwide in a machine learning competition conducted by prudsys, Germany

Publikationer

The statistical overview of sand demand in Asia and Europe

Using machine learning for statistical analysis

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