Hey, I am
Disha Lamba

I can make machines predict the future
by connecting the dots from the past.🤓💻

About


Hey there✌️! I'm an experienced data scientist with 3 years of experience across diverse domains including healthtech, edtech, and AI research. I’m passionate about transforming complex problems into clear, actionable insights that drive meaningful business impact 🤩. Data is my playground 👩‍💻 — I specialize in LLMs, RAG systems, data analysis, statistical modeling, experimentation, and machine learning, with a strong focus on building practical, scalable, and insight-driven solutions.

A bit about myself: Currently, I work as a Data Scientist at CVS Health, where I develop LLM-powered systems that streamline workflows for clinicians and patients, helping reduce both time and healthcare costs 🎯📈

Academically, I hold a Master of Science degree in Computer Engineering from New York University💜, which laid the foundation for my strong analytical and technical expertise.

I'm driven by a passion for continuous learning, creating meaningful impact, and collaborating with diverse, high-performing teams. My goal is to apply my analytical and problem-solving skills to drive business growth and innovation. I'm excited to take on challenging projects in roles such as Data Scientist, AI Engineer, ML Engineer or Data Analyst 😎.

Outside of coding, I enjoy indulging in my hobbies—hiking trips⛰️, sketching, binge-watching TV shows🍿, and cooking🧑‍🍳.

👥You can get in touch with me using email, checkout some of my projects on GitHub, connect with me on LinkedIn, or read my resume.

Experience



  • Aug 2024 - May 2026
    CVS Health

    As a Data Scientist, I develop AI systems that drive measurable business impact, save clinicians time and improve healthcare outcomes at scale.

  • Jan 2024 - April 2024
    Mindgrasp

    As a Machine Learning Engineer at an edtech startup, I developed a new feature - Math Solver, which increased user engagement by processing 10K+ queries daily, resulting in significant product growth.

  • June 2023 - Jan 2024
    Subconscious AI

    As an ML Engineer at a research company, I developed digital twins of customer populations using causal behavioral models, achieving 93% human-level accuracy.

  • June 2022 - August 2022
    Data Glacier

    As a Data Science Intern, I developed and scaled a semantic text-ranking search engine using a Python-based BERT model, achieving 92% accuracy.

Talks



New York · June 2026
Women Who Code
Selected Speaker
Boston · May 2025
Data Summit
Talked about how Pinterest's PinSage uses graph neural networks to deliver real-time, personalized recommendations at scale.
New York · Oct 2024
AI Camp
Delivered an introductory talk on recommendation systems, and how companies leverage them to drive personalized experiences.
Coming Soon
Next Talk
Stay tuned for upcoming conference appearances.

Leadership



Vice President · Jan 2023 – May 2023
NYU Machine Learning Club
Conducted bi-weekly workshops on ML fundamentals and advanced techniques for club members.
Web Dev Executive · Sep 2018 – May 2019
Association for Computing Machinery
Led coding workshops covering HTML/CSS, JavaScript, and Git for student developers.

Education



  • 2021 - 2023
    New York University, USA

    Masters in Computer Engineering

    Relevent coursework: Machine Learning, Deep Learning, Big Data, Probability & Statistics, Decision Optimization Models and Data Analytics

  • 2016 - 2020
    Guru Gobind Singh Indraprastha University, India

    Bachelors of Technology in Information Technology

    Publication: Automated Resume-Job Classification System, ICDAM'20 [ Paper ]

  • 2007 - 2016
    Amity International School, Haryana, India

    Higher Secondary Education

Skill Set



Scripting
PythonPandasNumPyScikit-learnKerasNLTKHTML/CSS
Machine Learning
LLMsRAGNLPMLStatistical AnalysisRecSys
Databases & Analytics
MySQLRedshiftBigQuerySparkAirflowTableauMS Suite
Cloud & Other Tools
AWSGCPDockerGitLinuxJiraConfluence