Ranjan Kumar

Experience

• 

  ZUREPRO

  May 2014 - Jun 2014

  Business Development Intern

  1.Identify potential new retailers to reach out to for business development activities (across multiple categories)2.Sign up new retailers through phone calls, in-person meetings and presentations3.Initiate, build and maintain relationships with brands and retailers4.Create ,analyse and generate data analytics reports for merchant partners5.Build and maintain relationships with clients that include ongoing data-driven sales consultation and support.

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  Jse.space

  May 2015 - Jul 2015

  Optimization Engineer intern

  1. Designed an algorithm for mathematical model for our project which calculates the dynamics and kinematics of the aircraft at any point during the trajectory and coded it into MATLAB.2.Data Analysis ,Extraction & Filteration according to our needs using different filters in MATLAB & C++.3.Simulated different dynamics model and animated the trajectory in MATLAB.4.Worked on optimizing the path trajectory and aircraft model under various constraints to maximize the Electric power and designed an algorithm for it . Show less

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  Accenture

  May 2016 - Jul 2016

  Summer Intern

  Project Title : Machine learning based MROI modelling (BBN)- Worked on the project for the Client to build Marketing Mix Model.- Applied five different machine learning algorithms i.e. Recursive feature elimination, Genetic algorithm, Simulated Annealing, Selection by filtering & Forward Subset Selection for feature selections out of total available Features.- Build a Bayesian Belief Network (BBN) for finding out the interaction of different marketing activities with Sales and with other marketing activities.- Made the model dynamic to give the direct and indirect contribution of each marketing activity for the incoming month data using conjugate prior. Show less

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  Accenture

  Jun 2017 - May 2021

  Built Marketing Mix Modeling using ML techniques end to end involving from data gathering to model building & actionable recommendations to estimate & maximize MROI for campaigns across channels for major telecom client.Tools Used: Python, R, SQL & Power BIML & Statistical Modelling Techniques Used: Market Mix Modelling & Optimization, Simulated Annealing, Bayesian Belief Networks, Random Forest, Boosting, Artificial Neural Network, DNN, Ridge & LASSO.

  • Data Science Consultant

    Dec 2019 - May 2021

  • Analytics Analyst

    Jun 2017 - Nov 2019
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  EXL

  Jun 2021 - now

  • Senior Manager Analytics

    Oct 2022 - now

  • Analytics Manager

    Feb 2022 - Sept 2022

  • Analytics Manager

    Jun 2021 - Jan 2022