Staff Data Scientist specializing in experimentation, measurement, and algorithmic decision-making for large-scale ad tech systems. My work focuses on designing and evaluating models that optimize complex tradeoffs, alongside leading rigorous experiments to assess causal impact on core business metrics. I partner closely with product and engineering teams to translate data into decisions that meaningfully shape product direction.

Key Skills

Scala, Python, Spark C++, html/js/css

Pandas, NumPy, scikit-learn, Keras, tensorflow.

Machine Learning / AI

Regression, k-means, stichastic techniques, NLP.

Data engineering and processing

SQLite, Hadoop, Snowflake, ROOT.

Data Analysis

Extract and clearly communicate recommendations.

Data Vizualization

Tableau, MatPlotLib, seaborn

Statistics

Hypothesis testing, robust result and uncertainty analysis.

Areas of Interest

Experimentation

A:B/Multivariate testing, pulse testing. Ensure robust and statistically significant results that are actionable and scalable.

Ad Tech

Optimize over 1T ad requests daily. Interact internally with product experts and externally with Publishers, DSPs and independent market authorities giving me a unique perspective into the ad tech industry.

Algorithm design

I have created and productionized algorithms that optimize auction timing, set take rates dynamically and prioritize valuable ad sizes, maximizing ad spend.

Collaborating

Collaborate with a diverse range of stakeholders. I interpret requirements, suggest improvements, communicate results and deliver solutions effectively and clearly..

Result Communication

Excellent inter-audience communication skills demonstrated through multiple publications as well as invited talks and chair opportunities at national and international conferences.

Leadership

I have led data science teams on multiple projects. I enjoy motivating team members to be their best by setting targets and delegating tasks based on their abilities and skills.

Education & Experience

Academic Degrees

Ph.D - Nuclear Physics, 2021
Rutgers University

MPhys - Physics, 2016
University of Surrey, UK

Professional Experience

Staff Data Scientist, Dec 2025 - present
Magnite

Senior Data Scientist, July 2024 - Dec 2025
Magnite

Data Scientist, 2022 - June 2024
Magnite

Experimental Data Analyst (Post-Doc), 2020 - 2022
Rutgers University / Oak Ridge National Laboratory

Internship - Detector Diagnostics Specialist, 2018
Lawrence Livermore National Laboratory

Resident Graduate Student, 2017 - 2020
Oak Ridge National Laboratory

Other Credentials

Machine Learning Course, 2021
Stanford University - Andrew Ng (online)

Relational Databases and SQL, 2022
Stanford University (online)

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