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Dipakk7/README.md

Dipak Khandagale – AI/ML Engineer

LinkedIn GitHub Email


🎯 About Me

AI/ML Engineer with hands-on experience in Machine Learning, Computer Vision, and AI application development. Skilled in Python, TensorFlow, FastAPI, SQL, Power BI, and Data Analytics, with experience in model training, evaluation, data preprocessing, AI testing, and workflow validation.

Strong understanding of machine learning algorithms, data analysis, deep learning, and intelligent system development, with the ability to transform complex data into actionable insights and business value. Experienced in working with real-world datasets, developing predictive models, building AI-powered applications, and creating interactive dashboards for data-driven decision-making.

Passionate about leveraging Artificial Intelligence, Machine Learning, and Data Analytics to solve real-world challenges and develop scalable, impactful solutions. Possess excellent analytical, problem-solving, and collaboration skills, with a continuous learning mindset and enthusiasm for emerging technologies.

Currently seeking opportunities in AI Engineering, Machine Learning, Data Analytics, Data Science, and Business Intelligence to contribute to innovative projects, enhance operational efficiency, and drive business growth through intelligent technologies.


πŸ”­ Current Focus Areas

πŸ€– Artificial Intelligence

  • Applied AI system development
  • Deep learning architectures
  • Computer vision applications
  • AI model deployment using APIs

πŸ“Š Data Analytics

  • Data cleaning & preprocessing
  • Exploratory Data Analysis (EDA)
  • SQL-based querying
  • Business insights & reporting

πŸ€– Machine Learning

  • Classification & prediction models
  • Model evaluation & optimization
  • Scikit-learn & TensorFlow
  • Real-world ML use cases

πŸ“ˆ Data Science

  • Statistical analysis
  • Feature engineering
  • Predictive modeling
  • Data-driven decision support

πŸ› οΈ Tech Stack

πŸ’» Languages

Python SQL

πŸ“Š Data & Machine Learning

Pandas NumPy Scikit-learn TensorFlow

πŸ“Š Visualization

Power BI Excel

πŸš€ Deployment & Tools

FastAPI Git Jupyter


πŸ“š Learning & Expertise

πŸŽ“ Key Competencies

  • Data Analytics: EDA, dashboards, SQL-driven insights
  • Machine Learning: Predictive modeling & evaluation
  • Artificial Intelligence: Deep learning & computer vision
  • Deployment: FastAPI-based ML model APIs

πŸ“– Interests

  • Business analytics & decision support
  • Applied AI systems
  • Real-world machine learning applications

🎯 Goals & Vision

  • πŸ“Š Excel as a Data Analyst / Business Analyst
  • πŸ€– Build impactful AI & ML-based solutions
  • πŸš€ Grow into advanced Data Science & AI roles
  • 🌍 Contribute to open-source and collaborative projects

πŸ’¬ Let's Connect & Collaborate

I’m open to:

  • πŸ“Š Data Analyst & Business Analyst roles
  • πŸ€– AI / ML internship opportunities
  • 🀝 Collaborative data & AI projects

πŸ“§ Email: khandagaledipak47@gmail.com
πŸ’Ό LinkedIn: https://www.linkedin.com/in/dipakkhandagale/


⭐ If you find my work useful, consider starring a repository!

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  1. Ecommerce-Sales-Analysis Ecommerce-Sales-Analysis Public

    A data-driven project analyzing e-commerce sales and customer behavior. It includes detailed insights on customer demographics, product trends, and sales patterns. Data is processed using Python an…

    Jupyter Notebook

  2. Face_reco_attendance_management Face_reco_attendance_management Public

    Developed a Real-Time Face Recognition Attendance System using Python, OpenCV, and YOLO for fast and accurate facial detection. Integrated a FastAPI backend and SQLite database to enable seamless r…

    Python

  3. DeepfakeDetect DeepfakeDetect Public

    In this project, I built a deep learning model to detect fake and real videos. I used ResNet50 for feature extraction and LSTM to understand video sequences. The model was trained on around 400 vid…

    Jupyter Notebook 1

  4. Portfolio Portfolio Public

    TypeScript