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πŸ‘¨β€πŸ’» Pushkar Ingale

AI & Data Science Enthusiast | Machine Learning & Deep Learning Specialist | Cloud Practitioner
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🌟 About Me

Hello! I'm Pushkar Ingale, a passionate AI and Data Science professional specializing in building innovative solutions that solve real-world problems. With a strong foundation in machine learning, deep learning, and web development, I thrive at the intersection of technology and creativity.

I have hands-on experience in designing and deploying AI-powered applications, from healthcare diagnostics to personalized recommendation systems. I'm also proficient in integrating advanced algorithms with robust cloud platforms like AWS and Google Cloud for scalable solutions.


πŸ”§ Technical Skills

Programming Languages: Python, Java, C/C++, SQL, JavaScript
Machine & Deep Learning: TensorFlow, PyTorch, Keras, YOLO, Transformers, Scikit-learn
Cloud Platforms: AWS, Google Cloud, Azure
Data Processing Tools: Pandas, NumPy, OpenCV
Databases: MongoDB, MySQL
Visualization Tools: PowerBI, Tableau
Version Control: Git, GitHub
NLP Tools: Hugging Face Transformers, NLTK, SpaCy


πŸš€ Key Projects

1. Research Paper Recommendation System

  • Tech Stack: NLP, Transformers, RNN, AWS, Streamlit, GitHub Actions
  • Built an AI-powered recommendation system to suggest research papers using titles and abstracts.
  • Employed cosine similarity and advanced text embeddings (Sentence Transformers, Word2Vec).
  • Deployed via AWS Elastic Beanstalk and automated CI/CD pipelines with GitHub.

2. Unhealthy Organ Detection Using Acne Analysis

  • Tech Stack: CNN, YOLO, Flask, OpenCV, AWS
  • Developed a system to predict health conditions using acne pattern analysis.
  • Achieved 97% detection accuracy and integrated into a web app using Flask, deployed on AWS.
  • Tackled challenges in detection accuracy with robust data preprocessing and training.

3. Movie Recommendation System

  • Tech Stack: Python, scikit-learn, Flask, React
  • Created a personalized recommendation system leveraging content-based filtering and sentiment analysis.
  • Designed a user-friendly interface and performed sentiment analysis with a Random Forest Classifier.

πŸ“œ Certifications

  • Machine Learning Specialization (Coursera, Andrew Ng) - 2024
  • Deep Learning Specialization (Coursera, Andrew Ng) - 2024
  • Cisco Networking Certificate (Cisco) - 2022

πŸ“ˆ Education

  • B.Tech in Artificial Intelligence & Data Science
    Vishwakarma Institute Of Information Technology, Pune
    CGPA: 9.45 (2022–2025)

  • Diploma in Computer Science & Engineering
    Padmashree Dr. V. B. Kolte College of Polytechnic, Malkapur
    Percentage: 90.86% (2019–2021)


πŸ’‘ Interests

  • Artificial Intelligence & Deep Learning
  • Natural Language Processing
  • Cloud Computing
  • Open Source Contribution

πŸ“« Let's Connect!

If my work aligns with your interests, feel free to reach out!
πŸ“§ Email: pushkaringale358@gmail.com
🌐 Portfolio: GitHub


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