Hi there! 🌟👩‍💻

I'm Pamela, a skilled and dynamic Data Scientist currently enriching my expertise with an MS in Analytics at Georgia Institute of Technology. Holding a BS in Mathematics from Georgia State University, my proficiency lies in machine learning, programming, database management, and advanced data visualization. I'm adept at transforming complex datasets into actionable insights, significantly enhancing decision-making processes.

🚀 What I'm up to and My Accomplishments

Enhancing operational efficiency and driving business growth through data-driven strategies.
Proficient in Python, R, SQL, and well-versed in Big Data technologies such as Hadoop, Hive, and Pig, alongside cloud computing platforms like Azure.
Expert in ETL operations, database management, and creating compelling visual narratives with tools like Excel, Power BI, and Tableau.
Well-rounded in various data science areas, including data warehousing, data mining, natural language processing (NLP), and MLOps practices.

✨ One line that describes me best?

A data-driven strategist passionate about turning complex data into insightful and actionable business solutions. 📈💡

📬 How to reach me?

LinkedIn
Email: [email protected]

Feel free to reach out to me about anything related to data science, machine learning, or business analytics. I am always ready to absorb new knowledge 🧠, gain invaluable experience 💼, collaborate on exciting projects 🤝, and apply my skills to create impactful solutions.

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Pamela Claridy's Projects

adidas-us-sales-predictive-analytics

This project applies advanced data science techniques to e-commerce analytics, focusing on the sports apparel market. It aims to provide insightful analysis of sales trends and consumer behavior, supporting strategic decisions in the retail sector.

body-fat-predictive-analytics

This project focuses on predicting body fat percentage from various physiological measurements using regression models. I explore the complexities of estimating body fat percentages with a comprehensive analysis of multiple regression techniques.

corolla-sales-regression-analysis

This project conducts a detailed linear regression analysis on a dataset from a European Toyota car dealer, focusing on the sales prices of used Toyota Corolla cars. The analysis aims to discern how various factors such as age, mileage, horsepower, and other features influence the sales prices.

handwritten-zipcode-classification

This project harnesses advanced data analytics techniques to decode handwritten zip codes, specifically focusing on '5' and '6'. By delving into machine learning, it aims to unveil patterns within image data, providing insights that lay the groundwork for tackling intricate image recognition challenges.

lifestyle-health-analysis

This project investigates the relationship between various lifestyle factors and self-assessed general health status using the comprehensive 2022 Behavioral Risk Factor Surveillance System (BRFSS) dataset. Key aspects of the project include comprehensive dataset analysis, data preprocessing, the application of predictive models.

mall-customer-segmentation

This project aims to analyze mall customer data using advanced analytics to reveal valuable patterns and insights. By segmenting customers based on behavior and characteristics, it helps guide marketing, improve customer experiences, and optimize mall operations.

us-housing-market-analytics-2023

The focus of this project is on the innovative use of advanced data science methodologies within the realm of real estate analytics. It aims to deliver insightful and impactful analysis, catering to the diverse needs of various stakeholders in the real estate sector.

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