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exploring the infinite space of tech
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exploring the infinite space of tech

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zulankm/README.md
Kartikay Mehta. Data Scientist | AI/ML Engineer. Email · LinkedIn · GitHub

I build scalable AI solutions, Agentic AI workflows, Machine Learning pipelines, and robust data infrastructures.

Systems/Business Analyst · deployed Agentic AI workflows and built AWS-hosted 24/7 analytics monitoring platforms
ML Engineer Trainee · developed an insurance fraud detection pipeline achieving 81.5% accuracy using SMOTE and RFECV
AI Training Expert · optimized large-scale ML models for datasets exceeding 1M+ records, reducing inference time by 15%
3rd Prize · ACM DevOps Hackathon · built and deployed CI/CD pipelines using GitHub Actions and AWS
Certifications · IBM Data Analyst & Google Cloud Core Infrastructure
Education · B.Tech CSE, Graphic Era University · Solved 200+ LeetCode problems


Tech Stack ⚙️    Python   C++   R   SQL   PyTorch   TensorFlow   Scikit-learn   Pandas   NumPy   AWS   Google Cloud   Docker   Linux   GitHub Actions   Tableau   Power BI   Alteryx

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  1. Chest-X-Ray-Image-Segmentation Chest-X-Ray-Image-Segmentation Public

    A deep learning project employing a ResUNet architecture to segment chest X-ray images, enhancing the detection and localization of anatomical features or pathological regions. The model leverages …

    Jupyter Notebook 1 1

  2. Diabetes-Prediction Diabetes-Prediction Public

    This project focuses on predicting the likelihood of diabetes in individuals based on diagnostic data using machine learning models. The notebook contains all steps from data cleaning and visualiza…

    Jupyter Notebook 1

  3. Insurance-Fraud-Detection Insurance-Fraud-Detection Public

    About this project :- The objective of the analysis is to identify if the claim is fraudulent or not? Dataset consists of several Variables(Independent) and one Outcome Variable(Dependent) The outc…

    Jupyter Notebook 1

  4. Multi_Modal_Evidence_Review_System Multi_Modal_Evidence_Review_System Public

    Python