Chintan Shah

AI Researcher

Bengaluru, Karnataka, India15 yrs 10 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in Machine Learning and Deep Learning techniques.
  • Proven track record in developing AI-driven solutions.
  • Strong background in algorithm design and data structures.
Stackforce AI infers this person is a Data Science and Machine Learning expert in EdTech and MarTech industries.

Contact

Skills

Core Skills

Machine LearningData Science

Other Skills

Deep LearningRNNsCNNsTransfer Learningtf-idfxgboostPolynomial RegressionLogistic RegressionNeural NetworksLocally Weighted Linear RegressionNaive BayesAlgorithmsData StructuresComputer ScienceResearch

About

Leveraging mathematical knowledge and applied Machine Learning experience to create impactful, scalable, and profitable AI-driven solutions.

Experience

15 yrs 10 mos
Total Experience
2 yrs 3 mos
Average Tenure
4 yrs 11 mos
Current Experience

Meta

2 roles

Machine Learning Engineer

Oct 2022Present · 3 yrs 6 mos

  • Looking for job opportunities in Bengaluru/ remote (India)

Machine Learning Engineer

May 2021Present · 4 yrs 11 mos

  • Instagram Shopping Whole Page Ranking:
  • Ranking (ML) Strategy, RoadMapping, Cross-Functional and Partner Teams' Collaboration, Onboarding New Shopping Modules, Feature Engineering, ML Model Training, A/B Testing, Model Deployment, Onboarding other Engineers, Mentoring.

Embibe

2 roles

Lead Data Scientist

Promoted

Apr 2019Oct 2020 · 1 yr 6 mos

  • Created and installed an automated question paper selection tool for National Testing Agency (NTA) Director. Applied state of the art text and image Deep Learning techniques - RNNs and CNNs - via transfer learning. Used for selecting JEE Mains, JEE Advanced, NEET question papers of similar difficulty.

Sr. Data Scientist

May 2018Mar 2019 · 10 mos

  • Built a B2B product for automated detection of the taxonomy for an academic question. Used tf-idf and xgboost to find the subject, chapter, topic, concepts of a question. Demonstrated better performance than Academic Faculty.

Iquanti, inc.

Sr. Data Scientist

Sep 2017Apr 2018 · 7 mos · Bengaluru Area, India

  • Budget Allocation and bidding strategy using Polynomial Regression, Locally Weighted Linear Regression, Nearest Neighbour, Neural Networks, and ensembling.
  • CTR estimation using Logistic Regression, Random Forests, Linear Regression

Near

Data Scientist

Aug 2016Jun 2017 · 10 mos · Bengaluru Area, India

  • Mobile ad campaign optimization using Locally weighted Linear Regression, Logistic Regression, Naive Bayes.

Technische universität münchen

Scientific Staff Member and PhD Student

May 2011May 2016 · 5 yrs · Munich Area, Germany

  • Doctoral student in the Chair for Efficient Algorithms at the Technical University of Munich, supervised by Prof. Harald Räcke. (thesis to be submitted)
  • Research:
  • I designed approximation algorithms for constructing graph sparsifiers - a simple graph, e.g. a tree, that approximates the cut and flow structure (in the context of multicommodity demand flows) of a given graph upto polylogarithmic factors.
  • I worked on designing faster algorithms for solving max flow in directed graphs, and in general for linear programming.
  • Main TA for:
  • Efficient Algorithms and Data Structures - I (B.Tech./M.Tech.)
  • (160-230 students. I designed and evaluated assignments and exams, co-ordinated other tutors, took tutorials)
  • Efficient Algorithms and Data Strucutres - II (B.Tech./M.Tech.)
  • (Approximation Algorithms and Linear Programming)

University of warwick

Research Assistant

Sep 2010Apr 2011 · 7 mos · Coventry, United Kingdom

  • Worked with Prof. Harald Räcke.

Da-iict

Visiting Professor

Jan 2009Aug 2010 · 1 yr 7 mos · Gandhinagar, India

  • Course Instructor for Algorithms and Data Structures courses for B.Tech.(ICT), M.Tech.(ICT) and M.Sc.(IT) students.

Education

Indian Institute of Science (IISc)

M.Sc. (Engg.)

Jan 2005Jan 2008

Sardar Patel University

Bachelor’s Degree — Computer Engineering

Jan 2001Jan 2005

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