Puneet Vashisht

AI Researcher

Gurgaon, Haryana, India9 yrs 9 mos experience

Highly Stable

Key Highlights

10+ years of experience in data science.
Expertise in building scalable machine learning products.
Strong background in customer analytics and campaign management.

Stackforce AI infers this person is a Data Science expert in Fintech with a focus on customer analytics.

Contact

puneet.vashisht786@gmail.com LinkedIn

Skills

Core Skills

Data ScienceCustomer AnalyticsPredictive ModelingCustomer Relationship Management (crm)Campaign ManagementProject ManagementData EngineeringBig Data

Other Skills

AlgorithmsAndroid DevelopmentApache SparkApache SqoopAtmel AVRBig Data/NoSQLCC++CassandraCredit RiskData AnalysisDeep LearningETLElasticSearchHTML

About

10+ years of experience in data science across varied domains like loyalty, payments and finance. Building scalable products using machine learning and leveraging statistics. Interested in personalized recommendation systems, graph network analysis and sequence to sequence neural networks.

Experience

Worldquant

2 roles

Senior Data Scientist

Promoted

Jan 2024 – Jul 2025 · 1 yr 6 mos

Data Scientist

Jan 2022 – Jan 2024 · 2 yrs

Goldman sachs

Associate

Mar 2020 – Jan 2022 · 1 yr 10 mos · Bengaluru, Karnataka, India

Mastercard

Data Scientist

Mar 2019 – Mar 2020 · 1 yr · Gurgaon, Haryana, India

Gartner

Data Science Intern

Oct 2018 – Mar 2019 · 5 mos · Gurgaon, Haryana, India

Customer AnalyticsCampaign ManagementBig Data/NoSQLData Science

Easyrewardz

Data Scientist

Jun 2014 – Jun 2017 · 3 yrs · Gurgaon, India

Customer Analytics:
Predicted customers’ propensity to buy in the near future using logistic regression and achieved an AUC of 77%
Conceptualized win-back campaigns retaining 1.5% of the potential lapsers with an ROI of more than 5X
Predicted sales and bills of multiple brands by time series analysis and drove campaigns to increase sales by 3-5%
Campaign Management:
Developed a campaign tool using PHP and MySQL to design, execute and track segment-specific campaigns
Enabled managers to automate campaigns a month in advance and target customers from 1000 different segments
Led a team of 5 to develop an automated reporting panel for 50+ brands with an average load of 500 hits per sec
Created a Unified Customer Database in MySQL by aggregating data from 10 disparate sources via an ETL script
Big Data/NoSQL:
Designed database structure in Cassandra and developed Spark jobs to push notification within 10ms of page load
Increased the number of customers signing up by 40% and the average time spent on the website by 2.5 times

Barclays

Summer Internship

May 2013 – Jul 2013 · 2 mos · Pune Area, India

Worked as a productive operations support for Barclays Enterprise Middleware team, Corporate Asia & Shared Services, Corporate Bank. I was involved in testing and deployment of changes onto the LIVE Production Environment.