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Achievement: Pull SharkAchievement: YOLO

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Achievement: Pull SharkAchievement: YOLO

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chekitha-s/README.md
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A recent Data Science graduate from George Washington University, blending machine learning, forecasting, and visualization to transform raw data into stories and solutions. Passionate about exploring new tools and methods, with a focus on turning complex datasets into insights that drive real-world impact.

Tech Stack:

PYTHON R JS HTML CSS

MYSQL POSTGRE MONGODB AWSDYNAMO RDS GCP AZURE AWS TABLEAU POWERBI EXCEL D3

Connect with me:

Portfolio LinkedIn Gmail

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  1. Temperature-Forecasting-Using-Time-Series-and-ML-Techniques Temperature-Forecasting-Using-Time-Series-and-ML-Techniques Public

    A project that applies machine learning, deep learning, and forecasting techniques to predict daily U.S. temperatures, enhanced with feature engineering, visualizations, and interactive dashboards …

    Jupyter Notebook

  2. Multi-feature-evaluation-on-facial-data-using-CNN Multi-feature-evaluation-on-facial-data-using-CNN Public

    A real-time facial analytics system that detects eye and mouth states, age, gender, and emotions using deep learning. Built with MediaPipe’s 468-point Face Mesh, OpenCV, and TensorFlow/Keras, combi…

    Python

  3. Data-Brew--Brewing-Success-with-Starbucks-Customer-Data Data-Brew--Brewing-Success-with-Starbucks-Customer-Data Public

    This project segments Starbucks customers using transaction and offer data. Through preprocessing, feature engineering, and clustering (K-Means), it identifies distinct customer groups, providing i…

    HTML

  4. Data-Driven-Supply-Chain-Analytics Data-Driven-Supply-Chain-Analytics Public

    A complete data mining pipeline for supply chain and sales analysis, combining exploratory data analysis, predictive modeling, and optimization to generate actionable business insights.

    HTML