- Skills/tools: Python, Tensorflow, Docker, FastAPI, Streamlit
- Overview: Collaborated with a team to solve a real-world problem for ISRO by colorizing B&W SAR satellite images, enhancing detail recognition and analysis.
- Features: Built a deep learning model inspired by Richard Zhang's architecture with 40 lakh parameters, achieving 91% per-pixel accuracy.
- Deployment: Designed a REST API, Dockerized the solution for fast response times (<1 second).
- Skills/tools: ARIMA, Statsmodels, Pandas, Selenium
- Overview: Developed a model using ARIMA that predicted flood impacts with 95% accuracy, helping improve disaster response.
- Data Handling: Scraped and preprocessed over 5,000 flood records, integrating meteorological data for better forecasting.
- Languages: Python, JavaScript, SQL
- Frameworks: TensorFlow, Scikit-Learn, Streamlit, Django, React, Flutter
- Data Science: Pandas, NumPy, Statsmodels, Langchain
- Cloud & Deployment: Docker, AWS Bedrock, FastAPI
- Other Tools: Tableau, MS Excel, Selenium, Web Scraping
- Business & Finance
- Psychology & Economics
- Analytics & Self-Development
- πΌ LinkedIn
- π§ Email: [email protected]