Palak Bansal

Data Scientist

New York, New York, United States
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Summary

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Senior
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Top School
Palak Bansal is a data scientist who blends machine learning, statistics, and causal inference with hands-on software development in Java and Python. Based in New York, she currently applies ML at CVS Health while pursuing an MS in Data Science at NYU. Her graduate research at NYU focuses on Generative AI and Causal Inference, including recovering Average Treatment Effect with high precision using PyTorch and non-gradient optimization techniques. She has built a versatile portfolio from NLP, anomaly detection, and real-time insights at SAP to causal inference and ATE applications during internships at Raven Industries and NYU, with 8 years of experience in data science. Palak’s mix of academia, industry, and a strong foundation in data-driven decision making enables her to ship practical, scalable solutions across healthcare, tech, and finance domains.
code9 years of coding experience
job4 years of employment as a software developer
bookMaster of Science - MS, Data Science, 3.89, Master of Science - MS, Data Science, 3.89 at New York University
bookBachelor of Technology, Information Technology, 8.46, Bachelor of Technology, Information Technology, 8.46 at Manipal Institute of Technology
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Github Skills (57)

markdown10
dsa-algorithm10
javascript9
appwrite9
natural-language-processing9
nlp9
speech-recognition8
python8
deep-learning8
machine-learning8
pytorch8
tensorflow7
bert7
transformer7
language-model6

Programming languages (5)

JavaC++HTMLJupyter NotebookPython

Github contributions (5)

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Palak-B/NLP

Oct 2019 - Sep 2023

Contributions:4 pushes in 3 years 11 months
Contributions:3 pushes, 1 branch in 3 years 1 month
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