Disha Lamba

Data Scientist

New York, New York, United States
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Summary

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Senior
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Top School
Disha Lamba is a data scientist based in New York with 8 years of experience building production ML and generative AI systems across HealthTech, FinTech, EdTech, and consulting. At CVS Health she led an LLM system that cut clinician review time by 80% for 1.2M patients and builds guardrails and evaluation frameworks to ensure clinical accuracy. She combines deep technical skills in Python, Spark, GCP, NLP, recommender systems and agentic AI with product-focused engineering—shipping serverless features at sub-500ms latency and running A/B experiments to drive adoption. A published first-author NLP researcher and active mentor (ex-VP of NYU ML Club), she’s also a repeat speaker and grant recipient who translates research ideas into measurable clinical and business impact. Her GitHub contributions include classic algorithm implementations, reflecting a strong foundation in algorithms alongside her modern ML stack.
code8 years of coding experience
job3 years of employment as a software developer
bookMaster of Science - MS Computer Engineering, Master of Science - MS Computer Engineering at New York University
bookHigh School Diploma Physics Chemistry Mathematics Fine Arts, High School Diploma Physics Chemistry Mathematics Fine Arts at Amity International School, Sec 46 Gurugram
bookBachelor of Technology - BTech Information Technology, Bachelor of Technology - BTech Information Technology at Guru Gobind Singh Indraprastha University
languagesEnglish, Hindi, Punjabi
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Github Skills (10)

data-structures10
kruskal-algorithm10
algorithms10
fest10
quicksort10
c-language10
cprogramming-language10
data-structure10
shell-sort9
javascript8

Programming languages (7)

TypeScriptC++CJavaScriptHTMLRubyPython

Github contributions (5)

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List of data structures and algorithms. Feel free to contribute under Hacktoberfest '18!
Role in this project:
userBack-end Developer
Contributions:5 commits, 2 PRs in 16 days
Contributions summary:Disha contributed multiple algorithms and data structures implemented in C++ and JavaScript. They added implementations for Matrix Chain Multiplication, Quick Sort, and Kruskal's algorithm in C++. Additionally, the user included an implementation of Shell Sort in Javascript. The contributions focused on expanding the repository's collection of algorithms and data structures.
cppjavascriptalgorithms-and-data-structurescompetitive-programmingdata-structures
dldisha/Ecommerce

Aug 2018 - Jun 2019

Contributions:9 commits, 3 pushes, 1 branch in 10 months
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Disha Lamba - Data Scientist