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DanielaMorariu1990/README.md

Hi there πŸ‘‹

πŸ‘©β€πŸ’»As a passionate data scientist with a curious mind and a solution-driven approach, I excel at transforming data into actionable insights. With many years of experience in the banking and energy industries, I specialize in time series forecasting, anomaly detection, and optimization of heating/cooling grids. My technical expertise is complemented by my ability to effectively communicate complex ideas and build strong stakeholder relationships.

πŸ’™ I am committed to lifelong learning and have successfully led projects, gaining valuable team management experience. Known for my enthusiasm and collaborative spirit, I thrive in dynamic environments and continually seek opportunities to drive innovation and deliver value through data.

πŸ‘‰ Intrested in: operations research problems, LLMs, time series forecasting and analysing

πŸ“« Reach out to me via LinkenIn and mail.

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  1. Data_pipeline_Docker Data_pipeline_Docker Public

    Contains a docker pipeline that collects tweets, cleans and analyzes them, and then creates a slack bot that slacks the outcome in a predefined channel

    Python

  2. Generate_image_captions Generate_image_captions Public

    Uses neural network (LSTM) to generate image captions. Trained on Flickr8 data set.

    Jupyter Notebook

  3. Movie-Recommander-built-in-Flask Movie-Recommander-built-in-Flask Public

    Movie recommender system based on NMF and SVD, with interface in Flask.

    Python 1 1

  4. EDA_analysis_with_LLM EDA_analysis_with_LLM Public

    This project leverages the Streamlit library to create an interactive web interface for data analysis using LangChain and OpenAI LLM.

    Python

  5. fast_api_project fast_api_project Public

    Forked from udacity/nd0821-c3-starter-code

    Jupyter Notebook