Hi There,
I'm Sarthak Khandelwal
i am into
About MeHey! I'm Sarthak, and I live at the intersection of data science and machine learning engineering, where I transform business challenges into data-driven solutions. My journey involves crafting end-to-end ML solutions that drive real business impact - from writing efficient SQL queries to extract insights from complex data, to building production-ready models with Python, PyTorch/TensorFlow (deep learning) or Scikit-learn (statistics) that help companies make smarter decisions. What really gets me excited is taking ML projects from experiment to production – whether that's reducing time by automating generation of clinical diagnosis from lab reports, preventing customer churn, or deploying pipelines that processes millions of records to predict sales. Think of me as someone who bridges the gap between business needs and technical solutions, combining the science of building powerful models with the engineering craft of making them deliver measurable business value in the real world!
email : khandelwal.sar@northeastern.edu
May 2024 - Dec 2024
Collaborated between clinical and technical teams in the Department of Laboratory Medicine to improve patient outcomes by automating clincial diagnosis generation from lab reports.
Sep 2023 - Dec 2023
Facilitated data preparation and streamlining within Facilities Management department to improve patient outcomes and increase accesibility.
Jun 2023 - Aug 2023
Formulated a dialogue-based voice assistant titled Auxel empowering blind and low-vision individuals to perform data analysis and wrangling by interacting with GPT-3.5-turbo model using Google Cloud and OpenAI API.
Nov 2021 - Nov 2022
Collaborated with a cross-functional team to develop Tableau dashboards and machine learning models, including customer churn prediction and price elasticity analysis, while deploying a temperature forecasting application using TensorFlow Lite and Android Studio on edge devices.
Nov 2021 - April 2022
May 2021 - July 2021
Education is the foundation of curiosity, and in data science, it's the key to transforming questions into discoveries, insights, and innovation.
Northeastern University
Medi-Caps University