Manager, Machine Learning @ Paypal | Consumer Credit
7 Years of Experience
Bengaluru, Karnataka, India
-
-
Not Available
As a Machine Learning Manager at PayPal, I am responsible for overseeing all machine learning models related to PayPal Credit UK, including credit risk marketing, underwriting, and collections. With a portfolio of 2.7 billion pounds in annual revenue and 2.6 million customers, my work has a significant impact on the financial well-being of individuals and businesses alike. I am passionate about developing and implementing complex algorithms that provide actionable insights to drive business growth. Connect @ https://topmate.io/satyabrat_mishra
PayPal, SaaS/Cloud Product, Financial Services
PayPal
PayPal
PayPal, PayPal, PayPal, Bridgeweave Ltd., Cartesian Consulting, Cartesian Consulting, Telstra, Discovery Limited, Discovery Limited, Reverside
Job Title : Manager, Machine Learning
Company name : PayPal
Period : September 2022 - Present
Summary : I own and manage credit models for the international revolving portfolio of PayPal
Location : Bengaluru, Karnataka, India
Job Title : Sr. Machine Learning Scientist
Company name : PayPal
Period : December 2021 - September 2022
Location : Bengaluru, Karnataka, India
Job Title : Data Scientist
Company name : PayPal
Period : January 2021 - December 2021
Location : Bengaluru, Karnataka, India
Job Title : Lead Data Scientist
Company name : Bridgeweave Ltd.
Period : September 2019 - December 2020
Summary : Bridgeweave builds AI products, primarily focussing on the Quant Products for the investment and Asset Management industry.
I serve as the lead data scientist, working on various data science projects for in-house data products as well as client engagements.
Algorithmic Trading Models:
• Inhouse ML model to assist Portfolio Managers in identifying stocks with propensity to give positive returns over the next month based on technical and Fundamental features ( 3 models – India, UK and Russian Market)
• Wrote the pipeline to extract data from Thomson Routers and built technical features from Price and Volume Data
• Engineered features that improved precision by 30% by using variable combinations, binning, scaling, clipping and smoothing
• Trained an ensemble model consisting of Logistic Regression, Random Forest, Xgboost and SVM
• Applied Variable Selection and Hyper Parameter tuning to improve precision by a further 23%
Location : Bengaluru Area, India
Job Title : Data Science Lead
Company name : Cartesian Consulting
Period : April 2019 - September 2019
Summary : • Building a self-caliberating triggers engine for CLM using Multi Armed Bandits
• Designing product recommendation engine for one one India’s top 5 fashion retailer
• Building Framework for pre-processing client data
Location : India
Job Title : Associate (Data Science)
Company name : Cartesian Consulting
Period : January 2018 - March 2019
Summary : • Client Management
o Gathered Business requirement from stakeholders and finalised the resource allocations for each project
o Set up timelines and managed client expectations
o Iteratively built Powerpoint Decks and post completion of the project, presented it to CXO level stakeholders
• Building Churn, FTR Models
o Analysed the existing data in client’s database and brainstormed with the stakeholders on additional required data
o Pre-Processed the data
o Converted the requirement to a model problem statement: Defined the Independent Variable, observation window, performance window from data
o Did variable selection and Dimensionality reduction
o Iteratively built models on multiple algorithmns, tuned hyperparameters and conveyed outputs to stakeholders ( Randomforest and Xgboost using Python)
• Analysing Text Data
o Text mined feedback data to provide purposeful insights to improve business-wide decision making
o Retrieved social media data, preprocessed and cleaned it
o Transformed unstructured data into structured data for analysis
o Used NLTK Vader, linear regression for text mining; analysed negative comments to identify customer pain points and suggested improvements for customer satisfaction
• Designing Communication Framework (CLM)
o Setting up control groups
o Based on significant variables, built segments for Communications
o Defined waterfall of the segments with the respective brand managers
o Suggested subject matters to be conveyed to each segment based on Topic Modelling Segment Data (LDA)
Location : Bengaluru Area, India
Job Title : Consumer Analytics Consultant (Practicum)
Company name : Telstra
Period : August 2017 - September 2017
Summary : • Developed predictive Churn Propensity model for mobile broadband users using random forest
• Mined consumer complaints description using SAS Text Miner and modelled tokens using random forest
• Extracted Insights and built reports using SAS Enterprise Guide, SAS studio and communicated them to business users
Technology: SAS Studio, SAS Enterprise Guide, SAS Enterprise Miner, SAS Text Miner, SQL, R, Python
Location : Melbourne, Australia
Job Title : Consultant (Data Science)
Company name : Discovery Limited
Period : February 2015 - September 2016
Summary : • Client Management:
O Gathered requirements from clients and advised on analytics solution
O Managing Client Expectations: set client expectations, managed project and allocated resources
O Communicating output of models and statistical experiments: Building Deck and Presenting to CXO Level Stakeholders
•Design of Experiment And Hypothesis Testing:
O Identifying Control and Test Stores based on correlation in past sales
O Analysed effect of campaigns
O Cannibalisation Analysis (New Products)
O Analysed effect of pricing changes
O Analysed effect of partnership with third party aggregators
•Forecasting Sales:
O Forecasted sales across Client’s Singapore stores with 98.2% accuracy
Location : Johannesburg Area, South Africa
Job Title : Associate Consultant (Data Science)
Company name : Discovery Limited
Period : April 2015 - June 2016
Summary : • Built Java EE based online Business Intelligence dashboard Application catering to South Africa’s biggest Insurance Company
• Designed real time dashboards to monitor KPI metrics
• Mined client’s consumer data to perform quantitative analysis for generating insights on consumer beahavior
• Provided customized reports and ad hoc reports to clients
Location : Johannesburg Area, South Africa
Job Title : Consultant
Company name : Reverside
Period : June 2013 - September 2016
Title : AWS Fundamentals
Period : August 2020 - Present
Summary : coursera.org, https://coursera.org/share/77acacb07a0135e74a91a7d8fc4c2ad3
Issuing Authority : Amazon Web Services (AWS)
Title : Python 5 Star Badge
Period : May 2020 - Present
Summary : hackerrank.com, https://www.hackerrank.com/satyabratam945
Issuing Authority : HackerRank
Title : Portfolio Construction and Analysis with Python
Period : April 2020 - Present
Summary : coursera.org, https://www.coursera.org/account/accomplishments/records/ZSSV8BRLWAAW
Issuing Authority : Coursera
Title : Machine Learning in Finance
Period : March 2020 - Present
Summary : coursera.org, https://www.coursera.org/account/accomplishments/records/YZ8G6RNUVC26
Issuing Authority : Coursera
Title : Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Period : December 2019 - Present
Summary : coursera.org, https://www.coursera.org/account/accomplishments/verify/AH528JDLLCT8?utm_medium=certificate&utm_source=link&utm_campaign=copybutton_certificate&utm_term=long
Issuing Authority : Coursera
Title : Practical Reinforcement Learning
Period : October 2019 - Present
Summary : SSDALFK842YW, coursera.org, https://www.coursera.org/account/accomplishments/verify/SSDALFK842YW
Issuing Authority : Coursera
Title : Neural Networks and Deep Learning
Period : August 2019 - Present
Summary : coursera.org, https://www.coursera.org/account/accomplishments/verify/8Q5FSV6P5CY9?utm_medium=certificate&utm_source=link&utm_campaign=copybutton_certificate&utm_term=long
Issuing Authority : Coursera
Title : Duolingo French Fluency: Advanced
Period : February 2016 - Present
Summary : duolingo.com, https://www.duolingo.com/RobertPlath
Issuing Authority : Duolingo
Title : Duolingo German Fluency: Intermediate
Period : September 2015 - Present
Summary : duolingo.com, https://www.duolingo.com/RobertPlath
Issuing Authority : Duolingo
Title : Data Mining in Social Media
Publisher : Reverside Learning Forum
Publication time : 2015
Title : My Struggles with the Factory Design Pattern
Publisher : Jozi JUG Conference, Johannesburg
Publication time : 2015
English , French , German , Hindi , Oriya
Award : Commendation
Issuer : Melbourne Business School
Date : 5 2017
Summary : Awarded for Academic Performance
Award : Service Excellence Award
Issuer : Discovery South Africa
Date : 11 2015
Award : Achilles Award
Issuer : Reverside
Date : 5 2014
Summary : All rounders award
Show More