I can make machines predict the future
by connecting the dots from the past.🤓💻
Hey there✌️! I'm an experienced data scientist with two years of work experience in SaaS environments, where I've leveraged data to drive business growth. I love transforming complex ideas into clear, exciting concepts 🤩. Data is my playground 👩💻 — I excel in analysis and machine learning, tackling challenges with enthusiasm and a positive spirit. I'm always eager to learn new skills and integrate seamlessly into teams, contributing like a perfectly fitting puzzle piece 🧩😎.
A bit about myself: I hold a Master of Science degree in Computer Engineering from New York University💜 , where I specialized in software engineering, machine learning, big data, and data analysis. Most recently, I worked as a Data Scientist at Mindgrasp , developing Python scripts in AWS to answer educational queries and optimizing the React web app through A/B testing and performance monitoring 📈
I'm always learning and seeking opportunities in the data domain within collaborative and diverse teams. I aim to deploy my strong analytical and problem-solving skills to create a meaningful impact and contribute to business growth🤩🤩. Eager to tackle challenging projects, I look forward to refining my technical skills and excelling in roles such as Data Scientist, Data Engineer, 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 Data Scientist, I wrote Python scripts in AWS Lambda to develop for a new feature that resulted in 12% user growth.
As a ML Engineer my role focused on enhancing our market research tool and content moderation system, achieving 83% model accuracy,and operational efficiency.
As a Data Science Intern my responsibility was to design, productionize, and scale a semantic text-ranking search engine using BERT.
As a Machine Learning Engineer, I led the development of a ML-based job-search portal for the Government of India, generating 1.2M job opportunities nationwide.
As a Software Developer Intern, I designed and implemented the frontend and backend architecture of a Content Management System(CMS) using Ruby on Rails and PostgreSQL.
As Vice President of the Machine Learning Club, I successfully ignited interest in ML among over 30 students by conducting bi-weekly workshops on fundamentals and techniques of ML.
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: An Integrated System for Occupational Category Classification based on Resume and Job Matching, ICDAM'20 [ Paper ]
Higher Secondary Education
Python & ML libraries, R, PySpark, PyTorch, TensorFlow, NLTK
Flask, ReactJS, Ruby on Rails, HTML/CSS, JS
MySQL, Hadoop, SAS, Tableau, PowerBI, MS Suite
Amazon Web Services, Docker, Git, Linux