Payal Thapar

Data Scientist

Delhi, India12 yrs 2 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Experienced in healthcare data science management.
  • Strong expertise in machine learning and predictive analytics.
  • Proven track record in improving customer experience.
Stackforce AI infers this person is a Data Science expert in the healthcare industry.

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Skills

Other Skills

AnalyticsBig DataBig Data AnalyticsBusiness AnalyticsCC++Data AnalyticsData ModelingDecision TreesDeep LearningHTMLHadoopHiveJupyterLinear Regression

About

Experienced Manager Data Scientist with a demonstrated history of working in the hospital & health care industry. Strong engineering professional skilled in Data Sciences, Machine Learning and Neural Networks.

Experience

12 yrs 2 mos
Total Experience
3 yrs
Average Tenure
9 yrs 11 mos
Current Experience

Unitedhealth group

4 roles

Senior Manager Data Scientist

Promoted

Mar 2024Present · 2 yrs 3 mos

Data Science Manager

Mar 2021Feb 2024 · 2 yrs 11 mos

Senior Data Scientist

Promoted

Sep 2018Mar 2021 · 2 yrs 6 mos

Data Scientist

May 2016Aug 2018 · 2 yrs 3 mos

  • Working to improve the Provider data
  • Working to improve customer experience

Mu sigma inc.

2 roles

Decision Scientist

Promoted

Mar 2016May 2016 · 2 mos · Bangalore

  • MONSOON READINESS
  • Analyzing the effect of monsoon in various cities of India on dispatches sent
  • Identifying the top issues/brands for the most dispatched parts
  • Analyzing the online activity during the monsoon period

Trainee Decision Scientist

Jul 2014Feb 2016 · 1 yr 7 mos · Bangalore

  • DEMAND FORECASTING
  • Aided logistic team by forecasting demand of different products
  • Predict optimum quantity of frozen food to be shipped to different locations
  • CONTACT REDUCTION
  • Identifying exact issue category from unstructured call logs using R in client's environment
  • Chunking the unstructured logs using Random forest in Python
  • DISPATCH RATE FORECASTING
  • Time series forecasting (ARIMAX) to predict the behavior of dispatches that might occur, based on the past behavior
  • Automated framework using R & SQL in client's environment
  • ANOMALY FINDER
  • Automated framework to track critical business KPI’s and generate alerts on anomalous behavior captured by applying a set of statistical and business rules
  • DISPATCH PREDICTION
  • Framework built using R, Hadoop and Hive to leverage machine error logs and validating using relevant metrics
  • Using Apriori algorithm in R extracting critical patterns with high dispatch probability

Cris; a autonomous society under the ministry of indian railways

Internship

Jan 2014May 2014 · 4 mos · Greater Delhi Area

  • To understand the present networking being used
  • Understanding the concepts of Networking and Subnetting and how are these being applied in the current network
  • Develop a framework in order to overcome the drawbacks in the current network to be utilized especially in the rescue operations.
  • Achievements
  • The complete network(India) was developed
  • The new network was error free and reached each corner of the nation taking least amount of time
  • Organization: Indus Towers (Architectural and Software Improvement)

Control systems international

Teaching Assistant

Jul 2013Nov 2013 · 4 mos

  • Assisting the Professor to teach one of his Class
  • Teaching the concepts to the class
  • Clarifying their doubts related to the subject
  • Helping them crossing the hurdles faced by them during Assignment solving and Project building

Indus towers limited

Internship

Jun 2012Jul 2012 · 1 mo · Gurugram, Haryana, India

  • To Study and understand the complete software from team members and was motivated because of quick understanding by my mentor.
  • Was asked to use my imagination in implementation of the software practically to get some improvement points

Education

Vellore Institute of Technology

B.Tech — Electronics and Communication

Jan 2010Jan 2014

Sacred Heart Senior Secondary School

XII

Jan 2007Jan 2009

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