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Professional Overview

Data science engineer at Myntra with close to 3.5 years of experience in analytics in the 'US healthcare' and 'E-commerce' domains. Enjoys working on large scale data to develop insights which drive business action. Core skills include -

  • Proficiency in Python, R, SQL, SAS and Excel
  • Exploratory data analysis and machine learning 
  • Good communication skills, strong business acumen, high degree of initiative and a continuous learning approach

Work Experience

July 2017Present


Data Science Engineer
  • Sentient - The project involves using NLP models on textual and speech data incoming at the customer care center and surfacing customer pain points, anomalous service breakdowns and pre-order questions which can lead to 'escalations'. The use cases are aimed at preventing churn and improving customer redressal.
  • Churn driver analysis - Worked on developing a causal model for churn scores. This model helped the revenue and marketing team identify major drivers for churn leading to the implementation of a more targeted customer retention strategy.
May 2016June 2017


Analyst - Customer Experience
  • Return item quality predictor model - The target feature recognizes an abused return item and helps Myntra decide whether to do 'Inward Quality Check (IQC)' or not - hence, saving on cost and manpower and reducing average return refund time by half. Contributed by engineering features and developing tool for evaluating model performance across service and revenue parameters
  • Pained customer redressal framework - Quantified the impact on customer transaction frequency due to various service/experience short-falls. On the basis of which designed a framework for redressing pained customers and improve customer retention.
  • Developed a near real-time unit-level pendency report across  forward and return supply chain nodes to provide insight into service breakdowns and improve resolution time. 
  • Designed models to ascertain the impact of vendor de-listing on metrics like overall delivery time, returns percentage and Myntra-initiated-cancellations

May 2014May 2016

ZS Associates

Business Associate
  • Designed, managed and made functional improvements to sales force effectiveness models pertaining to incentive compensation, goals setting and customer targeting
  • Designed a performance and execution dashboard (using Excel and SAS) for the sales leadership of the major business unit of the client
  • Proactively involved in mentoring and coaching new ZS'ers through workshops on Excel, Access, SQL and statistical methods



B.Tech - ECE - VIT University

  Projects -
- Sensible Electronic Blind Cane
- Low-cost Gesture Aided Computer Control System for the disabled
- Hand Gesture Recognition application using Image Processing


ICSE (91.2%)  and ISC (89%)

St. Francis' College