Tushar Tiwari

Associate Consultant

Gurugram, Haryana, India8 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Machine Learning and Data Analysis.
Developed innovative features for Adobe Acrobat.
Strong background in quantitative research and forecasting.

Stackforce AI infers this person is a Machine Learning Engineer with a focus on SaaS and quantitative research.

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Skills

Core Skills

Machine LearningData AnalysisComputer Vision

Other Skills

Bayesian inferenceCC++Data ClassificationHTMLMarkov ProcessMatlabMicrosoft ExcelMicrosoft OfficeMicrosoft WordNeural NetworksPowerPointPublic SpeakingPython (Programming Language)Research

About

Major in Mathematics and Scientific Computing and minor in Machine Learning and Applications from IIT Kanpur. Worked in the Acrobat team as a Machine Learning Engineer, responsible for generating a screen size based dynamic view using ML and AI. Currently working as a Quantitative Researcher at Mathisys Advisors

Experience

8 yrs 9 mos

Total Experience

2 yrs 11 mos

Average Tenure

6 yrs 7 mos

Current Experience

Mathisys advisors

Quantitative Researcher

Nov 2019 – Present · 6 yrs 7 mos · Gurugram, Haryana, India

Machine LearningData Analysis

Adobe

Member Of Technical Staff

Jun 2018 – Nov 2019 · 1 yr 5 mos · Noida, Uttar Pradesh, India

Actively developing "Liquid Mode" a new feature of Acrobat which is an html version of the original pdf generated by classifying and extracting the pdf content . Currently working on increasing the accuracy metrics of the ML model consisting of multiple neural nets and unique hierarchy of loss functions.

Machine LearningNeural NetworksHTMLData ClassificationComputer Vision

Indian institute of technology, kanpur

Placement Coordinator

Jul 2017 – Apr 2018 · 9 mos

Was a member of core committee responsible for handling interactions between recruiters and the applicants within IIT Kanpur

Wipro limited

Research Intern

May 2017 – Jul 2017 · 2 mos

Applied Time series Analysis and First Order Non-Homogeneous Markov Process to forecast the order booking and revenue of a particular quarter at any point of the quarter

Time Series AnalysisMarkov ProcessData Analysis