Passionate about transforming raw data into meaningful insights and building intelligent, scalable applications. Skilled in Python, SQL, Flask, and Data Visualization, with hands-on experience in deploying AI/ML models, cloud platforms, and creating impactful end-to-end solutions.

• Extract insights from raw data to drive informed decision-making.
• Build predictive models and craft visualizations for data storytelling.

• Develop dynamic, scalable web applications using Flask and modern full-stack technologies.
• Implement APIs, database integrations, and secure backend systems.

• Leverage SQL, Power BI, and Tableau to create interactive dashboards and reports.
• Translate data into actionable business insights.

• Train, fine-tune, and deploy ML models for real-world applications.
• Expertise in computer vision, NLP, and predictive analytics.

• Programming & Scripting: Python, SQL, HTML, CSS, JavaScript
• Data Science & Analytics: Data Cleaning, Feature Engineering, EDA, Statistical Analysis, Predictive Modeling
• Machine Learning & AI: Supervised & Unsupervised Learning, Deep Learning, NLP, Computer Vision, Generative AI, MLOps
• Cloud & Deployment: CI/CD, API Development, Cloud Deployment, Cost Optimization
• Business Intelligence: Data Storytelling, Dashboard Creation, Decision-Making Insights

• Data & ML Frameworks: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, YOLOv5, OpenCV
• Web & API Development: Flask, FastAPI, Streamlit, LangChain
• Databases: MySQL, PostgreSQL, MongoDB, SQLAlchemy
• DevOps & Deployment: Docker, Git, GitHub Actions, Heroku, AWS (EC2, S3), GCP (Firestore, Pub/Sub)
• Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn, Plotly
• IDEs & Environments: Jupyter Notebook, VS Code, PyCharm, Anaconda

🔹 Real-time sign language detection using YOLOv5.
🔹 Tech Stack: Python, OpenCV, PyTorch, YOLOv5

🔹 YOLO-based computer vision model for detecting plastic waste (Anantagni Industries).
🔹 Tech Stack: Python, OpenCV, PyTorch

🔹 Collaborative filtering-based recommender for personalized movie suggestions.
🔹 Tech Stack: Python, Pandas, Scikit-learn, Flask

🔹 Predict insurance premiums using ML models.
🔹 Tech Stack: Python, Scikit-learn, Pandas

🔹 Recommend suitable crops based on environmental & soil conditions.
🔹 Tech Stack: Python, Scikit-learn, Pandas, Matplotlib

🎓 Career Essentials in Generative AI – Microsoft & LinkedIn
🎓 Career Essentials in GitHub Copilot – GitHub
🎓 Machine Learning A-Z – Udemy
🎓 100 Days of Code: Python Bootcamp – Udemy
🎓 Introduction to AI – LinkedIn Learning

📩 Email: kandoiharshitsdlp@gmail.com
🔗 LinkedIn: Harshit Kandoi

⭐ Thanks for visiting my profile! If you like my work, feel free to ⭐ my repositories or connect with me 🚀