S

Shadab Khan

AI Researcher

Bengaluru, Karnataka, India7 yrs 11 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in Machine Learning and Quantitative Finance.
  • Proven track record in optimizing ad revenue through advanced algorithms.
  • Strong background in real-time bidding and data analysis.
Stackforce AI infers this person is a Machine Learning and AdTech expert with a strong focus on quantitative strategies.

Contact

Skills

Core Skills

Machine LearningQuantitative FinanceData Analysis

Other Skills

Quantitative ResearchQuant TradingReal Time BiddingAd Revenue OptimizationAlgorithm DesignAlgorithmsData StructuresData MiningArtificial IntelligenceOptimizationMatlabRPerlPythonQuantitative Analytics

About

Specialties: Machine Learning, Quant Trading

Experience

7 yrs 11 mos
Total Experience
3 yrs 11 mos
Average Tenure
--
Current Experience

Alphagrep securities

Senior Associate - Quantitative Research & Trading

Sep 2011Aug 2016 · 4 yrs 11 mos · Bangaon Area, India

  • www.alpha-grep.com/
Machine LearningQuantitative ResearchQuant TradingQuantitative Finance

Pubmatic india pvt. ltd

2 roles

Technical Consultant

Sep 2010Aug 2011 · 11 mos

  • Working as a technical consultant to Machine Learning group in PubMatic. During this period worked on a project which predicts valuation of ad impressions for real time bidding based on different factors associated with an ad impression.
Machine LearningReal Time BiddingData Analysis

Senior Software Developer

Jul 2008Aug 2010 · 2 yrs 1 mo

  • I worked as a Machine Learning expert. Our goal was to optimize online advertising revenue of publishers by applying suitable machine learning techniques, to predict adnetwork pricing of advertisement depending on various user parameters like frequency of the user, geography, context of the site
  • · designed and developed a system having machine learning algorithms that provide ad revenue optimization to publisher based on frequency of the user visiting that site. http://www.pubmatic.com/technology/whitepapers
  • .designed and developed prototype of machine learning algorithms that could provide ad revenue optimization to publisher based on geography of the user visiting that site.
  • .designed and developed prototype of frequency capping technology that reduces number of underperforming advertisement for a publisher.
Machine LearningAd Revenue OptimizationAlgorithm DesignQuantitative Finance

Education

The University of Edinburgh

MSc — AI; Learning from Data

Jan 2010Jan 2011

Indian Institute of Technology, Kanpur

M.Tech — Computer Science & Enigineering

Jan 2006Jan 2008

BIT Mesra Student-Industry Relations Cell

Bachelor of Engineering — Computer Science & Engineering

Jan 2002Jan 2006

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