Skip to content
View ikartiksavaliya's full-sized avatar
:electron:
Growing
:electron:
Growing

Block or report ikartiksavaliya

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
ikartiksavaliya/README.md

Hi there, I'm Kartik Savaliya πŸ‘‹

πŸš€ About Me

I am a Data Scientist and Machine Learning Engineer passionate about transforming data into actionable insights and building intelligent systems using Machine Learning and Deep Learning.

  • πŸŽ“ B.Sc. Data Science Student at Gujarat University
  • πŸ“Š Interested in Data Analytics, Machine Learning, Deep Learning, and AI Applications
  • 🧠 Focused on predictive modeling, computer vision, natural language processing, and interpretable AI
  • 🌱 Currently learning advanced Deep Learning architectures and MLOps practices
  • 🀝 Open to collaborating on open-source Data Science and Machine Learning projects
  • πŸ’Ό Looking for freelance opportunities in Data Analysis and Machine Learning

πŸ› οΈ Tech Stack

Languages & Databases

Python SQL

Data Science & Analytics

Pandas NumPy Power BI Matplotlib Seaborn

Machine Learning & AI

Scikit-Learn TensorFlow PyTorch OpenCV Hugging Face

Tools & Platforms

Git GitHub Jupyter Google Colab Kaggle Linux


πŸ“‚ Featured Projects

πŸ’³ Credit Card Fraud Detection using Deep Learning

  • Developed neural network models for fraud detection on imbalanced datasets
  • Applied cost-sensitive evaluation metrics and threshold optimization
  • Performed model interpretability and performance analysis

🎫 Customer Support Ticket Intelligence Platform

  • Built NLP pipelines for ticket classification and automated routing
  • Implemented text preprocessing, tokenization, and sequence models
  • Evaluated deep learning models for multi-class classification tasks

πŸ“« Connect With Me


⭐ If you find my projects interesting, feel free to explore my repositories and connect with me.

Pinned Loading

  1. credit-card-fraud-detection-system-using-deep-learning credit-card-fraud-detection-system-using-deep-learning Public

    deep learning-based credit card fraud detection system.

    Jupyter Notebook 1

  2. customer-support-ticket-intelligence-platform customer-support-ticket-intelligence-platform Public

    Jupyter Notebook 1

  3. nlp-ticket-classification nlp-ticket-classification Public

    Customer Support Ticket Classification using traditional NLP (text preprocessing, TF-IDF representations, sparsity diagnostics) and Machine Learning classifiers.

    Jupyter Notebook 1

  4. omni-retail-customer-analysis omni-retail-customer-analysis Public

    Jupyter Notebook 1