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standing-o/README.md

Data Scientist / ML Engineer

Proficient in Problem Framing through Data Analysis and Applying AI-Driven Approaches

🔥 Interest

  • Medical AI, Time-series Forecasting, Computer Vision, LLM, Audio (Speech), Anomaly Detection, XAI
  • MLops, Kafka, FastAPI, Docker, GCP, AWS
  • Dynamical Modeling, PDEs, Graph Theory

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  1. SoH_estimation_of_Lithium-ion_battery SoH_estimation_of_Lithium-ion_battery Public

    State of health (SOH) prediction for Lithium-ion batteries using regression and LSTM

    Jupyter Notebook 203 45

  2. Air_Pollution_Forecasting_with_Numerical_Modeling_and_ML Air_Pollution_Forecasting_with_Numerical_Modeling_and_ML Public

    Air pollution forecasting with convection-diffusion model and LSTM

    Jupyter Notebook 6 1

  3. Combined_Dataset_for_Speech_Emotion_Recognition Combined_Dataset_for_Speech_Emotion_Recognition Public

    A collection of dataset consists of a total of 8 English speech datasets for SER

    Jupyter Notebook 10

  4. Machine_Learning_Paper_Review Machine_Learning_Paper_Review Public

    Machine learning Paper review and code implementation

    Jupyter Notebook 5 1

  5. Lengyel-Epstein_Pattern_Classification Lengyel-Epstein_Pattern_Classification Public

    Classification of pattern images based on Lengyel-Epstein model

    Jupyter Notebook 3 1

  6. Stock_Anomaly_Detection_and_Explanation Stock_Anomaly_Detection_and_Explanation Public

    A Deep Learning Approach to US Stock Market Analysis and its Explanation Using Correlation Networks

    Jupyter Notebook 3