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eugenematthewcheong/README.md

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A Little Bit About Me and My Interests

I am a seasoned professional with nine years of experience in the Hollywood Visual Effects industry, now transitioning to Data Science driven by a strong passion for Data Analytics and Science. I am skilled in compositing 3D visual effects and adept at processing footage through colour correction and manipulation, including wire and rig removal, retouching, and actor reconstruction. With a deep understanding of compositing, lighting, and problem-solving, I thrive in high-pressure environments while maintaining meticulous attention to detail.

As an Area Tech Lead, I developed Python tools and spearheaded the adoption of new technologies to enhance team performance globally and locally in Singapore. I am a dedicated advocate for effective communication and collaboration among teammates, and I am now poised to leverage my diverse skill set and enthusiasm for analytics to excel in Data Science.

I am proficient in using analytic tools such as pandas, numpy, matplotlib, and seaborn. I am also capable of utilizing machine learning tools like sci-kit learn and tensorflow to tackle regression and classification problems. Additionally, I have explored Computer Vision and Natural Language Processing to contribute to business objectives.

Some Tools I Have Used and Learned

vscode python numpy pandas tensorflow postgresql anaconda

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  1. GA-Capstone-Harmony-Project GA-Capstone-Harmony-Project Public

    Innovated in the interior design industry with a Jupyter Notebook project using advanced machine learning. Developed a system to recommend catalog products based on color palettes and photo analysi…

    Jupyter Notebook 1

  2. GA-Project_2-House-Price-Predictor GA-Project_2-House-Price-Predictor Public

    Utilized Jupyter Notebook and machine learning techniques to predict resale prices for Singapore HDB properties.

    Jupyter Notebook 1

  3. GA-Project_3-Mum-Top-Trending-Words-NLP GA-Project_3-Mum-Top-Trending-Words-NLP Public

    Utilized machine learning (ML) and natural language processing (NLP) to classify and display trending words used by mothers on Reddit.

    Jupyter Notebook 1

  4. GA-Project_4-Identifying-Stroke-from-Obesity-with-CT-scan GA-Project_4-Identifying-Stroke-from-Obesity-with-CT-scan Public

    Utilized multiple machine learning (ML) models and a neural network to reclassify obesity status and determine stroke probability, including analysis of CT brain scan images.

    Jupyter Notebook