Kartik Dhawan

Data Scientist

New York, New York, United States9 yrs 2 mos experience

Highly Stable

Key Highlights

Over 8 years of experience in Data Science and Engineering.
Proven track record of increasing conversion rates through data-driven strategies.
Expertise in developing machine learning models for financial services.

Stackforce AI infers this person is a Fintech Data Scientist with strong expertise in machine learning and data engineering.

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Skills

Core Skills

Machine LearningData ScienceGrowth StrategiesData EngineeringBusiness Intelligence

Other Skills

Transact-SQL (T-SQL)PythonA/B TestingData AnalysisPerformance MarketingEmail MarketingPySparkAWSData IntegrationModelingLendingBig DataData VisualizationPerformance TuningData Warehousing

About

Full-Stack Data Scientist with over 8 years of experience in Product Analytics, Machine Learning, Data Pipelining and Engineering. I am currently on the Audience Strategy team at Rocket Mortgage, where we try to optimize communication strategies to cross-sell products to our clients.

Experience

9 yrs 2 mos

Total Experience

9 yrs 2 mos

Average Tenure

0 mo

Current Experience

Rocket companies

3 roles

Senior Data Scientist

Aug 2021 – Jul 2025 · 3 yrs 11 mos

1. Developed an ML Model to predict a client's propensity to buy a home through their credit card spending data. Utilized by marketing team to target clients with mobile ads.
2. Designed an A/B experiment to validate results, resulting in a 20% increase in conversion through ad CTR
3. Developed ML model to predict a client's likelihood to refinance a loan, utilized by sales team to prioritize pipeline and streamline dialing effort. Resulted in a 10% increase in closed loan volume.
4. Ran experiments on performance marketing channels like Meta to prove the impact of an increased ad spend on overall conversion. Increased budget allocation by 25% in the following quarter.
5. Evaluated impact of e-mail journeys on client conversion and churn, resulting in turning a journey off and reducing opt-outs by 30%.

Transact-SQL (T-SQL)PythonMachine LearningData Science

Data Engineer

Aug 2016 – Aug 2021 · 5 yrs

Client Benefit ETL
1. Upgraded legacy Python ETL to be a config-driven Pyspark ETL deployed on AWS. This solution ran on 300 M clients, outputting projected benefit in transacting with Rocket Mortgage. Utilized by Sales, Marketing and Data Science teams
2. Integrated third-party data sources to impute key data elements, resulting in $10M in additional revenue. Nominated for an All-Company award.