Taronish Gotlaseth Email & Phone Number | An enthusiastic Data/Business Analyst with an undergraduate degree in Electrical And Electronics Engineering and a minor in Finance. Having worked in the Data Science Unit for more than 2 years I have first hand witnessed the impact that strategy and technology has had in overhauling the performance of a company.Its my passion to leverage data across multiple departments as I had done in Piramal Enterprises Ltd. I have applied several machine learning concepts such as unsupervised learning and time series modeling to a corporate business environment and am currently looking for opportunities where I can further add upon my analytical repertoire. Technical Skillset: Programming: Python (Pandas,Numpy,Scikit-learn),SQL,R ML: Supervised Learning ( Regression,Random Forest,Boosted Trees) and Unsupervised Learning (K-means, Density based clustering),A/B testing

Taronish Gotlaseth

An enthusiastic Data/Business Analyst with an undergraduate degree in Electrical And Electronics Eng...
Seattle, Seattle, United States

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Taronish Gotlaseth’s Email tgotlaseth@amazon.com

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Taronish Gotlaseth’s Location Seattle, Seattle, United States

Taronish Gotlaseth’s Current Industry Amazon

Taronish Gotlaseth’s Prior Industry Cibc | Piramal Enterprises | Sandisk | Isro Indian Space Research Organisation

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Business Intelligence Engineer

2022-07-01 00:00:00 - Present

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2022-01-01 00:00:00 - 2022-04-01 00:00:00

Data Scientist

2019-05-01 00:00:00 - 2021-04-01 00:00:00

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2018-01-01 00:00:00 - 2018-01-01 00:00:00

Summer Intern

2017-05-01 00:00:00 - 2017-07-01 00:00:00

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Taronish Gotlaseth is a An enthusiastic Data/Business Analyst with an undergraduate degree in Electrical And Electronics Engineering and a minor in Finance. Having worked in the Data Science Unit for more than 2 years I have first hand witnessed the impact that strategy and technology has had in overhauling the performance of a company.Its my passion to leverage data across multiple departments as I had done in Piramal Enterprises Ltd. I have applied several machine learning concepts such as unsupervised learning and time series modeling to a corporate business environment and am currently looking for opportunities where I can further add upon my analytical repertoire. Technical Skillset: Programming: Python (Pandas,Numpy,Scikit-learn),SQL,R ML: Supervised Learning ( Regression,Random Forest,Boosted Trees) and Unsupervised Learning (K-means, Density based clustering),A/B testing