Hi 👋, I am
Disha Lamba
I can make machines predict the future
by connecting the dots from the past.🤓💻
I can make machines predict the future
by connecting the dots from the past.🤓💻
Hey there✌️! I'm an experienced data scientist with three years of work experience across diverse domains, where I've leveraged data to drive business growth. I thrive on transforming complex ideas into clear, actionable insights 🤩. Data is my playground 👩💻 — I specialize in data analysis and machine learning, approaching challenges with enthusiasm and a solutions-driven mindset.
A bit about myself: Currently, I work as a Clinical Data Scientist at CVS Health, where I focus on summarizing discharge notes using advanced LLMs📈. 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..
My Mission: I'm passionate about continuous learning and thrive in collaborative, diverse teams. My goal is to deploy my analytical and problem-solving skills to create meaningful impact and foster business growth. I'm eager to take on challenging projects and refine my expertise in roles such as Data Scientist, Solutions Architect, Data Analyst, or ML Engineer😎.
Outside of Coding, I enjoy indulging in my hobbies. I find solace in going for hiking trips⛰️, sketching, binge-watching TV shows🍿, or 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.
As a Clinical Data Scientist my work is focused on summarizing discharge notes using LLMs to assist care managers in patient outreach.
At an edtech company, I developed a new feature, Math QnA, leveraging Generative AI and AWS models to answer advanced math queries, driving 12% user growth.
As an ML Engineer at a research company, I enhanced the market research tool and content moderation system, achieving 83% model accuracy and boosting operational efficiency.
As a Data Science Intern, I developed and scaled a semantic text-ranking search engine using a Python-based BERT model, achieving 92% accuracy.
As Vice President of the Machine Learning Club, I fostered ML interest among 30+ students by organizing bi-weekly workshops on ML fundamentals and advanced techniques.
As the Web Executive, my role was to lead coding workshops in HTML/CSS, JavaScript, and Git for ACM-BVP students.
Masters in Computer Engineering
Relevent coursework: Machine Learning, Deep Learning, Big Data, Decision Optimization Models and Analytics
Bachelors of Technology in Information Technology
Major project: Integrated System for Resume and Job Matching with Occupational Classification, ICDAM'20 [ Paper ]
Higher Secondary Education
Python & ML libraries, R, PySpark, PyTorch, TensorFlow, NLTK
Flask, ReactJS, Ruby on Rails, HTML/CSS, JS
MySQL, BigQuery, SAS, Tableau, PowerBI, MS Suite
AWS, GCP, Docker, Git, Linux, Jira, Confluence