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ChaitanyaC22/README.md

Hi 👋🏼, I am Chaitanya Chaudhari!

Welcome to my GitHub profile 🙏🏼

About Me:

Machine Learning Engineer | Data Scientist

An enthusiastic and seasoned professional leveraging the power of data and machine learning to resolve intricate problems.

🔭 Innovating: Unleashing data alchemy as a Data Maverick.

🌱 Absorbing: Soaking up the latest data sorcery for transformative insights.

💬 Contemplating: Exploring the enigmatic realm of data's hidden symphony.

📧 Reach Out: Contact me via email at cchaudha@usc.edu.

⚡ Zephyr-chaser: Pursuing diverse data realms with a whimsical flair!

Profile Summary

As a passionate machine learning engineer and data scientist, I am driven by the potential of technology to address complex challenges. With a strong background in statistics, machine learning, artificial intelligence, computer vision, deep learning, mathematics, and NLP, I am constantly improving my skills and deepening my understanding in these areas. I place a strong emphasis on delivering quality outcomes while recognizing the importance of continuous learning and growth.

With a focus on data science and machine learning, I am committed to making a positive difference. My portfolio, featuring my work and contributions, can be viewed on GitHub (here, under repositories) and Tableau. I am grateful for opportunities to grow as a professional and showcase my expertise and commitment to making a lasting impact. If you share my vision and wish to collaborate, feel free to reach out at 📫 cchaudha@usc.edu

Professional Links:

LinkedIn GitHub Tableau

Domains of Interests & Expertise

☄️ Statistics
☄️ Data Science
☄️ Machine Learning
☄️ Artificial Intelligence
☄️ Computer Vision
☄️ Deep Learning
☄️ Mathematics
☄️ NLP

Skills

Languages, Libraries, Tools and Frameworks:


f

💻 Programming

Python PySpark NumPy Pandas Scikit--learn statsmodels SciPy

💾 Database Management

PostgreSQL MySQL SAP HANA SQL

📷 Image Processing

OpenCV Scikit--image SciPy NumPy

📊 Data Visualization

Tableau Matplotlib Seaborn

🤖 ML/DL Frameworks

TensorFlow Keras PyTorch

🗣️ NLP

NLTK NLU Dialogue Management RASA spaCy RegEx

🤖 AI/ML Applications

Classification Regression Clustering Image Classification Object Detection Face Detection Image Captioning Anomaly Detection Fraud Detection Object Tracking and Localization Q-Learning DQN

📊 Data Science and ML

Data Wrangling Data Cleaning EDA Feature Engineering Model Building and Evaluation

☁️ AWS

SageMaker S3 EC2 Data Pipeline Lambda Batch Step Functions IAM CloudWatch

📜 Miscellaneous

Git Twilio Trello Flask Heroku Jupyter Notebook Lab Google Colab MS Office Requests Beautiful Soup

Thank you for taking the time to visit my GitHub profile! 🙏🏼

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  1. Fraud_Analytics_Credit_Card_Fraud_Detection Fraud_Analytics_Credit_Card_Fraud_Detection Public

    The aim of this project is to predict fraudulent credit card transactions with the help of different machine learning models.

    Jupyter Notebook 3 1

  2. Multi-Input-Multi-Output-MNIST-Image-Digit-and-Summed-Output-Classification Multi-Input-Multi-Output-MNIST-Image-Digit-and-Summed-Output-Classification Public

    The goal of this project is to build a neural network that takes an MNIST handwritten digit (0-9) image and a random number (digit 0-9) as inputs and returns the predicted class label (0-9) for the…

    Jupyter Notebook 3

  3. Autistic-Spectrum-Disorder-ASD-Detection Autistic-Spectrum-Disorder-ASD-Detection Public

    This project aims to develop a robust classification model using test-takers' demographics and questionnaire responses from the ASD screening dataset to accurately identify individuals with Autisti…

    HTML 1

  4. Udacity-CVND-Project1-Facial-Keypoints-Detection Udacity-CVND-Project1-Facial-Keypoints-Detection Public

    Applying knowledge of image processing and deep learning to create a convolutional neural network (CNN) for facial keypoints (eyes, mouth, nose, etc.) detection.

    Jupyter Notebook 1

  5. Udacity-CVND-Project2-Automated-Image-Captioning Udacity-CVND-Project2-Automated-Image-Captioning Public

    This project aims at training a CNN-RNN model to predict captions for a given image. The main task is to implement an effective RNN decoder for a CNN encoder.

    HTML 1

  6. HR_Policy_Query_Resolution_with_Retrieval_Augmented_Generation_RAG HR_Policy_Query_Resolution_with_Retrieval_Augmented_Generation_RAG Public

    This repository contains an HR Policy Query Resolution system using Retrieval-Augmented Generation (RAG). It leverages a 4-bit quantized Mistral-7B-Instruct-v0.2 LLM and JP Morgan Chase’s publicly …

    Jupyter Notebook