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  • Boston, Massachussetts

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sarthakforwet/Readme.md

Hi 👋, I'm Sarthak Khandelwal

Sarthak Khandelwal | Instagram Sarthak Khandelwal | LinkedIn Sarthak Khandelwal | GoogleScholar Sarthak Khandelwal | Kaggle

Data Scientist | Automation Specialist | LLMs, Cloud Platforms

Previously a Data Engineer at FiftyFive Technologies, I worked on preparing a SQL-based ETL pipeline for business insights and enabled data-driven decision-making. I'm passionate about transforming data into actionable insights to address real-world challenges. I completed my undergraduate degree in Computer Science from Medi-Caps University. My professional journey in Machine Learning (ML) and Data Science began during my sophomore year when I joined a technical club titled Students' Technical and Innovation Club (STIC). Since then, I have undertaken numerous projects and internships, honing my skills and contributing to impactful solutions. Driven by a commitment to continuous learning, I pursued a master's degree to deepen my understanding of ML and Data Science and explore how these technologies drive business innovation. I am particularly excited about leveraging my expertise to improve real-world outcomes through data-driven approaches.

As a Research Assistant at Northeastern University, I worked on formulating a dialogue-based voice assistant titled Auxel that enable blind and low vision individuals in performing data analysis efficiently through interactions with a GPT-3.5 turbo model. This groomed my skills in Natural Language Processing and understanding of Large Language Models. Later during Spring 2024, I took a course titled DS 5983: Large Language Models where I gained in-depth understanding of LLMs and became aware of the current trends in this field.

While working at Mayo Clinic, I operationalized an ETL pipeline integrating VertexAI, BigQuery, and Cloud Storage to process lab reports of patients with Lupus Anticoagulant and generate interpretations which is further streamed to a Dash Application through BigQuery enabling easier analysis for Hematopathologists. Furthermore, I acquired further experience with Data Cleaning and Pre-Processing by migrating 5000+ unstructured Word files into a GeoDatabase for Panelboards Circuit Reports.

  • 🌱 Currently working on instituting model pipelines on Cloud Platforms.
  • 👨‍💻 Participating in hackathons, competitions, events, and seminars.
  • 📫 Experimenting and grooming understanding of LLM-based agents and Trustworthy AI.

Explore More Projects


Sarthak Khandelwal's GitHub Stats

Kaggle Badges

Kaggle-badges

Programming Workbench:

Python SQL rlang


Data Science Workbench:

Database

MySQL MongoDB

Data Science Frameworks

Numpy   Pandas   Tensorflow   Scikit-Learn   PyTorch   OpenCV   Matplotlib   Seaborn   Xgboost   Hugging Face   Langchain   Plotly   Scipy

Cloud Platforms

Relevant Coursework

Fall 2024

  • DS6983: Trustworthy GenAI

Spring 2024

  • DS5983: Large Language Models
  • DS5500: Capstone

Summer 2023

  • DS5230: Unsupervised Machine Learning and Data Mining

Spring 2023

  • DS6120: Natural Language Processing
  • DS5220: Supervised Machine Learning

Fall 2022

  • CS5800: Algorithms
  • DS5110: Data Management and Processing

Let's Connect!

I'm always open to discussing data science, ML, healthcare innovations, or potential collaborations. Feel free to connect with me on LinkedIn or check out my latest work on Kaggle.

Popular repositories Loading

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    Repo for Custom Object Detection

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    An application which helps people find their foodie partner!

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  3. CyclicGAN_API CyclicGAN_API Public

    This repository contains the implementation of CyclicGAN from the official Research Paper.

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    [ WIP ] Model to detect Fake News

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    This repository contains codebase for the image segmentation task as part of the capstone project.

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