Summary
Overview
Work History
Education
Skills
Additional Information
Timeline
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Avani Shah

Summary

Experience of working in conscious beauty care, entertainment, retail and consulting industry in Datascience and Analytics with 8.5 years of relevant experience.Building data products, data strategy and data science platforms for modelling The good glamm group.

Overview

10
10
years of professional experience

Work History

Senior Manager Data Scientist

MyGlamm, The Good glamm group
Mumbai
05.2021
  • Formulating and strategizing Business requirements to Datascience implementations
  • Connecting with Data Engineers, Backend and Frontend team for the deployment of the Data science model end to end including real time data tracking
  • Implemented a microservice incorporating DS models like Naive bayesian, word2vec, Collaborative filtering, dynamic pricing, user segmentation and product listing algorithms
  • Created an end to end pipeline to run A/B experiment for every new feature to be tested and released at 100% scale
  • Impact: Personalized upsell, cross sell product widgets contributed to 20-25% of the overall revenue and ranking logic increased the conversion by absolute 1.5% , based on the demand based optimisation on supply chain system with potential saving of 1.8 Cr a year

Data Scientist

BookMyShow, Big tree entertainment pvt.ltd
Mumbai
02.2016 - 05.2021
  • Optimization algorithm for dynamic pricing, dynamic discounting and differential discounting which yielded around 3-5% incremental revenue for high budget events cricket team Rajasthan Royals in IPL, international events, few cinema company chains and approx 8-10% incremental revenue for small budget events
  • Conceptualized Loyalty product of ‘Superstar’ by identifying loyal customers segment of 5% of BMS customer yielding 18-20% revenue
  • Combining mathematical, ALS collaborative filtering, multiarm bandit problem-thompson’s sampling models to support personalization for users based on the transactional as well as behavioral history and deployed them which lead to growth in CTR by 78% and in conversion by 140%
  • Applied Online change point detection algorithm,mathematical modelling for quantification of demand and logistic regression coupled with linear regression to be used as an indicator in the dynamic pricing module
  • Mathematical modelling for quantification of engagement for every user on the platform and deploying it on production,movement of customers based on engagement bucket was monitored to evaluate product changes
  • Identifying likelihood of a customer to repeat in key time buckets.Improved the repeat of new customers as well as the existing base resulted in 12% uplift in revenue
  • Cinema clustering basis occupancy and BMS penetration for identifying the different types of cinema and profiling them for various marketing activities
  • Conceptualizing and strategizing along side Product, Branding, CRM and Design team in identifying user personas at bookmyshow to personalize the user experience, design and exploration
  • Managed and mentored a team of Business and Product Analysts for CRM Analytics

Data Analyst

Cartesian Consulting
05.2014 - 02.2016
  • Financial Budgeting Exercise for Client to be tracked over the year : Setting targets for key KPI at Month level as well as at Clinic level (KPI : Member Retention, Member revenue Contribution, Incremental revenue due to Loyalty Programme,
  • Incremental Frequency, Enrolments, New Customers, Existing Customers)
  • Source Campaign optimisation model : Identified Best combination of Source campaign combination basis Leads generation and Conversion
  • Which was a key Support for investment in different sources
  • Profitability:Developed segmented profitability framework to segregate the entire Customer base into different profitability segments for various offer categories
  • Store Clustering: Grouped similar store clusters basis demand, supply and infrastructure variables in multiple regression model to over and under index stores basis their performance within a cluster, which was implemented and used to incentivise stores
  • Identify Frequency Drivers for Customers basis redemption, Consumption, Cross sell and basic product

Analyst

eClerx Services Ltd
04.2011 - 08.2012
  • UK’s best Hotel chain: Customer segmentation using RFM scores and CHAID analysis on SPSS UK’s Retail chain:
  • Forecasted Checkouts of new launch of website and Demographic details of customers based on “Collection rate”
  • This project was nominated for “Best value outsourcing project- European awards” at the 6th position in 2013

Education

Master of Science - Statistics

University of Mumbai

Master of Science - Statistics

University of Mumbai

Bachelor of Science - Statistics

Mithibai College

Skills

Python,Pyspark,Hive,BigData,SQL,GCP,BigQuery, Mongodb,Documentdb,Microservice creation, API creation, Jira, AgileWorking system, A/B experiment set up

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Additional Information

  • Achievements and awards , Participated in Google AI Challenge by suggesting a technology for reducing traffic on National Highways. Awarded “the most insightful Piece of work” award from Cartesian for helping improve the customer frequency of a beauty and lifestyle brand Represented Bookmyshow in knowledge sharing with Bangalore International Airport Analytics and Datascience team in May’2020 Secured 3rd rank at the T.Y. B.Sc. Examination in the academic year 2010-2011 in Mithibai college A kindergarten teacher/facilitator as well as Chief operations coordinator in an NGO Young Innovators Foundation for past 7 years : Awarded best Volunteer of the year in 2016

Timeline

Senior Manager Data Scientist

MyGlamm, The Good glamm group
05.2021

Data Scientist

BookMyShow, Big tree entertainment pvt.ltd
02.2016 - 05.2021

Data Analyst

Cartesian Consulting
05.2014 - 02.2016

Analyst

eClerx Services Ltd
04.2011 - 08.2012

Master of Science - Statistics

University of Mumbai

Master of Science - Statistics

University of Mumbai

Bachelor of Science - Statistics

Mithibai College

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Avani Shah