Amitansh Gupta

Some birds are not meant to be caged

- 'RED' from the movie 'Shawshank Redemption'

Amitansh Gupta

Head - New Products & Business Initiatives `
Bharti Axa General Insurance
Amitansh heads the Products and Business Initiatives division at Bharti Axa where he leads the conceptualisation, development, pricing & launch for the groups various parametric and micro insurance offerings. An avid reader, musician and fitness enthusiast, Amitansh has a bachelors in Math and Comp. Sc. from IIT Kanpur.
NLP Machine Learning Python Time Series
  • Bharti Axa General Insurance
    Head, New Products and Business Initiatives
    Currently leading the New Products initiatives at Bharti-Axa, one of the leading General Insurance companies in India. Specifically overlooking the development of group's parametric line of insurance products leveraging emerging technologies like AI.
    2018 - Current
  • Collinson
    Lead Data Scientist
    First member in Collinson's India Data Science Team. Took initiatives and ownership of critical projects to establish initial momentum for the team while working in close collaboration with UK management to decide long term departmental roadmap as well. Held end-to-end ownership across key projects in Loyalty and Marketing use cases including measuring effectiveness of loyalty programs, customised targeting, and key insights for the flagship Priority Pass™ product along with data projects for some of the biggest players in the aviation industry. The role included frequent travel to UK to liaison and share developments with clients and top management. Relevant Technologies: PySpark, Hive, Cloud Architectures (AWS - Lambda, DynamoDB, API Gateway, ElasticBeanstalk, EMR) Agile Project Management - GIT and JIRA/Confluence
    2017 - 2018
    Data Scientist
    Recruited as First Data scientist at Sulekha. While the role was a bit experimental in nature, I was responsible for building the in-house chatbot, increasing search relevance ranking of the products/services offered on the websites across India/US/UK, and building an indigenous recommendation engine for suggesting similar/complimentary products to global users. The projects were undertaken in tandem with the core tech development team at Sulekha leveraging their knowledge of OO programming, thereby picking up formal software development skills (mostly in C# .NET framework) I gained significant domain experience in NLP/NLU, Predictive Modelling, Search Relevance Ranking, Recommender Systems and held end-to-end ownership for all these projects which included liaising with senior business stakeholders along with cross-collaborations within different divisions of the firm. Relevant Technologies: .NET Framework, C#, Visual Studio, R, Python, SQL Server, Apache Solr.
    2015 - 2017
  • Pervazive Inc.
    Data Sciences Intern
    Worked on building machine intelligence algorithms for Predicting Network Outages which helped Telecom Operators reduce their Network Operating Costs by 30% while increasing CSAT by over 20% with accuracy scores of 90% and above. Predictive Analytics for proactively addressing the key issue of Consumer Churn for CSP’s by analysing lifetime value (LTV) of consumers and dynamically offloading and reloading the low LTV consumer in order to enhance the quality of experience for high valued consumers. Selected as one of the Top 20 Emerging Start-ups of India by London & Partners and Showcased by SAP as one of their 5 leading start-ups worldwide in GSMA Mobile World Congress’16 held in Barcelona, Spain.
    2015 - 2015
  • Università degli Studi di Palermo
    Visiting Young Researcher
    Studied the returns data for 300 most capitalized NYSE Stocks and mapped it to a hierarchical dendogram, without knowing the underlying structure of the stocks, ie. it's sector, parent company, interlinked information between stocks etc.
    2015 - 2015
  • Deloitte
    Technology Consultant Intern
    Worked on HR Analytics for a Multinational Cosmetics Giant, which involved prediction of Employee Churn, making Interactive Dashboards for information visualization, and Data Warehousing and ETL Concepts. Analysed the key factors including migration patters, demographics, bench time served etc. responsible for employee churn, mainly in sales domain and came up with recommendations on how to reduce it.
    2014 - 2014
  • Indian National Science Academy(insa)
    Summer Research Fellow
    Formed an understanding on how fractals can play a role in predicting the stock market. Did some interesting analysis on fractals like Koch Curve, Sierpinski Casket, and other naturally occurring fractal figures and understood various real-world applications of fractal math.
    2013 - 2013
  • Indian Institute of Technology Kanpur
    Bachelors, Mathematics and Computer Science
    2011 - 2015
What I do outside work
  • Learning
  • Sports
  • Fitness
  • Running
  • Football

Programs I mentor

I 'instruct', 'teach', 'solve doubts' and do 'hands-on activities'

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