Pallavi Bharadwaj - Senior Data Scientist

Pallavi Bharadwaj

Senior Data Scientist

Vancouver, British Columbia, Canada

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Summary

👤

Senior

🎓

Top School

Pallavi Bharadwaj is a Senior Data Scientist with 10 years of experience bridging software engineering and applied ML, currently driving data-driven products at Cognota after impactful stints at Shopify and RBC. She builds production ML systems—from fairness-aware pipelines and causal-inference libraries to marketplace recommendation features—and has shipped customer-facing analytics and automation that materially reduced manual effort and improved adoption. A core contributor to the open-source dataprep project, she combines technical writing and backend changes to simplify data collection and EDA for Python users. Comfortable across Python, Spark, Scala, and cloud tooling, she pairs full-stack development chops with hands-on data engineering and model deployment experience. Outside tech she’s a performing artiste, competitive swimmer and chess player, bringing discipline and creativity to problem solving.

10 years of coding experience

6 years of employment as a software developer

Bachelor’s Degree, Computer Science Engineering, 75.4%, Bachelor’s Degree, Computer Science Engineering, 75.4% at Visvesvaraya Technological University

Master's degree, Computing Science - Big Data, 4.11 GPA (4.33 scale), Master's degree, Computing Science - Big Data, 4.11 GPA (4.33 scale) at Simon Fraser University

English, Kannada

Github Skills (6)

data-preprocessing10

jupyter-notebook10

dataprep10

python10

documentation10

wrapper9

Programming languages (4)

ShellHTMLJupyter NotebookPython

Github contributions (5)

sfu-db/dataprep

Jun 2020 - Nov 2020

Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.

Role in this project:

Technical Writer & Backend Developer

Contributions:11 commits, 17 PRs, 26 comments in 5 months

Contributions summary:Pallavi primarily contributed documentation in the form of example notebooks. These notebooks demonstrate the usage of the `dataprep.data_connector` library, focusing on connecting to various data sources like Twitter, YouTube, Finnhub, and DBLP. Their work includes setting up the necessary authentication steps and showcasing how to query the data using the library's functionalities. Additionally, they made code changes to support new features.

pythondatadataprepcleaningdatacleaning

pallavibharadwaj/pallavibharadwaj

Jul 2020 - Mar 2024

Contributions:10 pushes, 1 branch in 3 years 7 months

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