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Ankit Kindra

Director of Engineering

Delhi, India16 yrs 11 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Over 9 years of experience in advanced analytics.
  • Expertise in Predictive Analytics and Machine Learning.
  • Proven track record in delivering impactful data-driven solutions.
Stackforce AI infers this person is a Data Analytics Consultant with extensive experience in Fintech and Healthcare analytics.

Contact

Skills

Core Skills

Predictive AnalyticsMachine Learning

Other Skills

CARTCluster AnalysisClustering AnalysisLogistic RegressionPredictive ModelingSAS programmingSegmentation

About

Data Analytics Consultant and Lead with more than 9 years of rich experience in advanced analytics across various domains including Utilities,Banking and Healthcare. Passionate Problem solver, Expertise in Predictive analytics, Machine Learning solutions and Natural Language Processing(NLP).

Experience

Unitedhealth group

6 roles

Senior Director - Data Science

Promoted

Mar 2025Present · 1 yr

Director - Data Science

Promoted

Mar 2022Mar 2025 · 3 yrs

Associate Director - Advanced Research & Analytics

Mar 2019Feb 2022 · 2 yrs 11 mos

Senior Manager - Advance Research & Analytics

Promoted

Mar 2017Feb 2019 · 1 yr 11 mos

Project Manager

Promoted

Mar 2015Feb 2017 · 1 yr 11 mos

Associate Project Manager

Aug 2013Dec 2014 · 1 yr 4 mos · Noida, Uttar Pradesh, India

Inductis (exl service - decision analytics)

3 roles

Assistant manager

Jan 2012Jul 2013 · 1 yr 6 mos · Gurugram, Haryana, India

  • Working with Marketing Analytics team of Retail Banking Client operating in Asia Pacific region.
  • Key Responsibilities:
  • 1. Complete ownership of the individual project which includes client management, project management and coming up with ideas to improve project effectiveness
  • 2. Managing projects for 2 resources simultaneously in their ongoing projects to make sure the project delivery is error free and on time
  • Key Projects Worked on includes:
  • 1. Propensity Models for geographies from Africa region:
  • a) Logistic model for PL portfolio to identify customers likely to opt for a Topup and for CASA base to identify customers to be targeted for a Credit Card Xsell
  • b) Project required great deal of research given there was little knowledge available about banking portfolios and customer behaviour in such geographies.
  • 2.Developed a “Bill Payment” response model with an objective of increase in the customer base using the bill payment service through the online channel.
  • 3. Worked on an exhaustive report to give the senior management complete overview of the Mortgage portfolio performance across 9 geographies over the last 3 years.
  • 4.Segmented customers using clustering analysis to come up with meaningful groups and suggested actionable business offers
Logistic RegressionClustering AnalysisPredictive ModelingPredictive AnalyticsMachine Learning

Sr. Programmer Analyst

Promoted

Jul 2010Dec 2011 · 1 yr 5 mos · Gurugram, Haryana, India

  • Worked as a senior analyst with Marketing Analytics team of Retail Banking Client operating in Asia Pacific region
  • Some of the key projects worked on includes:
  • 1. CASA Deposits Stickiness Analysis- In depth study of the deposits portfolio and segmentation of customers' post which used Markov Chain to capture portfolio stability.(1 Month Onsite project in Singapore)
  • 2. Conducted behavioral segmentation of savings account customers based on their account activity.
  • 3.Developed 4 ‘Card Loan cross sell’ models at different price points to identify optimal price point to be offered to a Credit Card customer (2 Month Onsite project in South Korea)

Programmer Analyst

Aug 2008Jun 2010 · 1 yr 10 mos · Gurugram, Haryana, India

  • Worked with analytics team engaged in contact centre operations improvement.
  • Delivery of end to end analytical support for the client’s business entailing direct one-to-one interaction for solution evaluation on a daily basis .Some of the key projects worked on included:
  • 1. Cost to Serve Analysis: Estimating the cost it takes to the business to serve each customer and ultimately segment customers and provide key insights to the business.
  • 2. NPS Analysis: Profiling of customers based on their Net Promoter Scores
  • Developed a ‘Delinquency model’ to identify set of customers most likely to miss payment in the next 3 months. (Onsite Project in UK - 1 Month)

Education

Netaji Subhas Institute of Technology

Bachelor's of Engineering — Computer Science

Jan 2004Jan 2008

Rukmini Devi Public School(Delhi)

AISSCE — Science

Jan 1988Jan 2003

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