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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:



💻 Programming

Python 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

Chaitanya Chaudhari's GitHub stats
Snake animation

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

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  1. Deep-RL-Project---Maximize-total-profits-earned-by-cab-driver Deep-RL-Project---Maximize-total-profits-earned-by-cab-driver Public

    The goal of this project is to build an RL-based algorithm that can help cab drivers maximize their profits by improving their decision-making process on the field. Taking long-term profit as the g…

    Jupyter Notebook 9 3

  2. Building-a-chatbot-using-RASA-plus-Deployment Building-a-chatbot-using-RASA-plus-Deployment Public

    Building a conversational bot (chatbot) which can help users discover restaurants across several Indian cities using RASA

    Python 1

  3. 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

  4. 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

  5. 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

  6. 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