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Lynn-rose/README.md

Hi, I'm Lynn ๐Ÿ‘‹๐Ÿพ ๐Ÿ‘ฉ๐Ÿพโ€๐Ÿ’ป

banner that says Lynn Rose - data engineer, Data analyst, Data scientist

I am a data science professional with a strong background in computer science and expertise in data analysis and modelling, MySQL database administration, machine learning, data science and natural language processing.

I have worked on data science projects, using my skills in data analysis, EDA, data visualisation, Data Collection and Cleaning and database management to create robust and user-friendly models. I am well proficient in Python and frameworks like Django. I also have a deep understanding of MySQL database administration, including database design, implementation and optimization.

I have a keen interest and expertise in machine learning, Data Science and natural language processing (NLP). I have worked on various ML models for tasks such as sentiment analysis and text classification. I have good knowledge of libraries such as scikit-learn, and NLTK and programming skills in Python.

My Current Tech Stack

Find me around the web ๐ŸŒŽ:

  • Sharing updates on LinkedIn ๐Ÿ’ผ

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  1. Eble-Coach-Services Eble-Coach-Services Public

    A machine learning-based customer segmentation model for Eble Coach Services using LRFM (Length, Recency, Frequency, Monetary) analysis to identify behavioral patterns and personalize customer engaโ€ฆ

    Jupyter Notebook

  2. Health-Care-Prediction-System Health-Care-Prediction-System Public

    Jupyter Notebook

  3. Ecommerce-Recommender-System Ecommerce-Recommender-System Public

    The project develops a recomender system to offer personalized product suggestions based on user specs, enhancing online shopping by simplifying decisions and boosting customer satisfaction.

    Jupyter Notebook 1 2

  4. Tweet-Sentiment-Analysis Tweet-Sentiment-Analysis Public

    Classifying tweet sentiments (positive, negative, neutral) accurately is challenging due to informal language. Success provides companies like Apple with crucial consumer insights and enhances branโ€ฆ

    Jupyter Notebook

  5. Forecast-individuals-H1N1-vaccine-uptake. Forecast-individuals-H1N1-vaccine-uptake. Public

    Develop a predictive model that accurately identifies individuals likely to receive H1N1 and seasonal flu vaccines based on demographic information, opinions, and health behaviors, thereby aiding pโ€ฆ

    Jupyter Notebook

  6. EdmundNyaribo/Zillow-Real-Estate-Time-Series-Analysis EdmundNyaribo/Zillow-Real-Estate-Time-Series-Analysis Public

    Dream House International seeks to expand by identifying the top 5 U.S. states for real estate investment. This project uses Zillow data to analyze market trends and pinpoint the best opportunities.

    Jupyter Notebook