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paschalugwu/README.md

Paschal Ugwu


Profile Picture


About

I am a results-driven data scientist with a passion for leveraging machine learning and advanced analytics to solve complex problems and drive impactful decisions. I excel in transforming data into actionable insights that enhance business growth and efficiency. My experience spans data analysis, machine learning, software engineering, and research, where I have successfully contributed to high-impact projects using cutting-edge data science and technology.

𝐖𝐡𝐚𝐭 𝐈 𝐁𝐫𝐢𝐧𝐠:

  1. 𝓓𝓪𝓽𝓪 𝓢𝓬𝓲𝓮𝓷𝓬𝓮 𝓔𝔁𝓹𝓮𝓻𝓽𝓲𝓼𝓮: I have developed and deployed machine learning models, including decision trees, random forests, and deep learning algorithms, to solve real-world problems. My work includes creating a 97.49% accurate optical character recognition system using PyTorch and leveraging AutoGluon for predictive analysis, optimizing resource allocation in logistics, and enhancing strategies.

  2. 𝓢𝓸𝓯𝓽𝔀𝓪𝓻𝓮 𝓓𝓮𝓿𝓮𝓵𝓸𝓹𝓶𝓮𝓷𝓽 & 𝓔𝓷𝓰𝓲𝓷𝓮𝓮𝓻𝓲𝓷𝓰: I led backend development for the 'Ambrosial' project using Flask and SQLAlchemy and designed RESTful APIs, honing my full-stack development skills. I have also built an AirBnB clone, deepening my knowledge of software architecture, REST principles, and DevOps practices using Docker and MySQL.

  3. 𝓓𝓪𝓽𝓪-𝓓𝓻𝓲𝓿𝓮𝓷 𝓓𝓮𝓬𝓲𝓼𝓲𝓸𝓷 𝓜𝓪𝓴𝓲𝓷𝓰: I have a strong track record of converting complex datasets into actionable insights. Using Power BI, I have analyzed data across domains such as infrastructure and public health, supporting strategic decision-making and policy development. While studying at ExploreAI Academy, I developed predictive models to automate processes and enhance productivity, demonstrating the power of data-driven approaches.

  4. 𝓡𝓮𝓼𝓮𝓪𝓻𝓬𝓱 & 𝓑𝓲𝓸𝓲𝓷𝓯𝓸𝓻𝓶𝓪𝓽𝓲𝓬𝓼: With experience in applying advanced data science techniques to biological datasets, I have contributed to research projects at the University of Massachusetts Lowell and Helix Biogen Institute. I applied bioinformatics algorithms and computational methods to genomic data analysis, managing large datasets and developing efficient workflows.

𝐖𝐡𝐲 𝐂𝐨𝐧𝐧𝐞𝐜𝐭 𝐰𝐢𝐭𝐡 𝐌𝐞:

I am passionate about driving innovation through data science and machine learning, always eager to connect with professionals, industry leaders, and potential collaborators. I thrive in environments where I can use my skills to create data-driven solutions that make a measurable impact. If you’re looking for someone who can turn data into strategic insights, develop robust machine learning models, or build scalable software solutions, let's connect!


Profiles


🛠️ Tools :

Python  Numpy  Pandas  Jupyter  Anaconda  MySQL    AWS  Docker                       

🔥 My Github Stats :

GitHub Streak

Top Langs

© [2024] [Paschal Ugwu]

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  1. predict-bike-sharing-demand Public

    Leveraging AutoGluon, this project predicts bike sharing demand by integrating advanced automated machine learning techniques with extensive data exploration and hyperparameter optimization.

    Jupyter Notebook

  2. alx-data_science-NLP Public

    Empowering Advanced Text Classification and Wine Quality Prediction with Cutting-Edge Machine Learning Techniques.

    Jupyter Notebook 1

  3. alx-data_science-regression Public

    Agricultural Yield and Population Forecasting: Utilizing machine learning to enhance crop yield and predict global population trends, informing sustainable development and policy decisions.

    Jupyter Notebook

  4. alx-data_science-SQL Public

    Leveraging SQL and data analysis to uncover corruption and optimize water services at Maji Ndogo.

    Jupyter Notebook 1

  5. alx-data_science-unsupervised Public

    A comprehensive exploration of unsupervised learning techniques, including clustering and dimensionality reduction, applied to real-world data science projects.

    Jupyter Notebook 1

  6. alx-data_science-Visualization Public

    Unveil critical societal dynamics in Maji Ndogo through compelling Power BI-driven data visualizations and storytelling.

1,309 contributions in the last year

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