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Data Scientist Resume

A machine learning-focused resume for data scientists showcasing NLP expertise, causal inference, and production ML models at Meta and Spotify.

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Arjun Mehta

Data Scientist | Machine Learning · Python · Statistical Modelling

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[01]

Summary

Data Scientist with 5 years of experience building production ML models that drive business decisions. Expertise in NLP, recommendation systems, and causal inference. Delivered $12M+ in incremental revenue through predictive modelling at Meta and Spotify.

[02]

Experience

SpotifyMarch 2022 to Present
Senior Data Scientist — Personalisation · New York, NY
  • Built a transformer-based playlist recommender serving 200M+ users, increasing Discover Weekly engagement by 18%.

  • Designed A/B testing framework for ranking experiments; ran 60+ experiments per quarter with rigorous causal methodology.

  • Reduced churn prediction false-positive rate by 23% using gradient-boosted survival models.

MetaJuly 2019 to February 2022
Data Scientist — Feed Ranking · Menlo Park, CA
  • Developed difference-in-differences framework to measure long-term impact of ranking changes on user wellbeing.

  • Fine-tuned content classifier that improved harmful content recall by 31% with no precision loss.

  • Partnered with product to ship integrity features reaching 2B+ daily active users.

[03]

Education

Massachusetts Institute of Technology2017 to 2019
M.S. Computer Science (Machine Learning), Cambridge, MA
University of Michigan2013 to 2017
B.S. Statistics, Ann Arbor, MI · GPA 3.8 / 4.0
[04]

Skills

Machine LearningExpert
PyTorchTensorFlowScikit-learnXGBoostTransformers
Languages & ToolsAdvanced
PythonSQLRSparkAirflowdbt
StatisticsExpert
Causal InferenceBayesian MethodsA/B TestingSurvival Analysis
[05]

Certifications

TensorFlow Developer Certificate2023
Google
[06]

Languages

EnglishNative
100%
HindiNative
100%

Resume Breakdown

Summary

Data Scientist with 5 years of experience building production ML models that drive business decisions. Expertise in NLP, recommendation systems, and causal inference. Delivered $12M+ in incremental revenue through predictive modelling at Meta and Spotify.

Experience

Senior Data Scientist — Personalisation

Spotify

March 2022 to Present · New York, NY

  • Built a transformer-based playlist recommender serving 200M+ users, increasing Discover Weekly engagement by 18%.

  • Designed A/B testing framework for ranking experiments; ran 60+ experiments per quarter with rigorous causal methodology.

  • Reduced churn prediction false-positive rate by 23% using gradient-boosted survival models.

Data Scientist — Feed Ranking

Meta

July 2019 to February 2022 · Menlo Park, CA

  • Developed difference-in-differences framework to measure long-term impact of ranking changes on user wellbeing.

  • Fine-tuned content classifier that improved harmful content recall by 31% with no precision loss.

  • Partnered with product to ship integrity features reaching 2B+ daily active users.

Education

M.S. Computer Science (Machine Learning)

Massachusetts Institute of Technology

2017 to 2019

B.S. Statistics

University of Michigan

2013 to 2017 · GPA 3.8 / 4.0

Certifications

TensorFlow Developer Certificate

Google · 2023

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