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SHARONZACHARIA/README.md

👋 Hello, I'm Sharon Zacharia!

🔍 Aspiring Data Scientist & Analyst
🌐 Visit my Portfolio | 💼 LinkedIn | 📧 [email protected]


🚀 About Me

  • 📊 Data Analysis: Specialize in analyzing data to derive actionable insights.
  • 🛠️ Expertise: Proficient in Splunk, Dynatrace, and cloud technology.
  • 🎓 Education: Pursuing a Master’s in Data Science.
  • 💡 Insight Generation: Excel in transforming raw data into valuable business insights that drive informed decision-making.
  • 🤖 Machine Learning: Skilled in developing predictive models using machine learning and deep learning techniques.
  • 📈 Data-Driven Strategies: Enhance data-driven strategies for optimal outcomes.

🔧 Technologies & Tools

Languages:

Python Java JavaScript Dart SQL HTML CSS

Libraries & Frameworks:

Pandas NumPy Matplotlib Scikit-Learn TensorFlow Keras Flutter Django Flask

Tools:

Jupyter Tableau Power BI Git Docker Kubernetes AWS

Databases:

PostgreSQL MongoDB

🌟 Featured Projects

  • Offensive Sentence Detection App:

    • Description: Developed a Flutter mobile app utilizing on-device ML with TF Lite models for detecting offensive sentences locally, integrating Keras models and Flutter's platform-specific channel for inference.
    • Technologies Used: Flutter, TensorFlow Lite, Keras
  • Image Classification and Search Application:

    • Description: Created an image classification and search application using Flask, Flutter, and MongoDB, deploying a pre-trained Keras ResNet50 model as REST APIs for efficient image retrieval.
    • Technologies Used: Flask, Flutter, MongoDB, Keras
  • Nobel Prize Analysis:

    • Description: Analyzed the Nobel Prize dataset from 1901 to 2020, employing visualization techniques like line plots, pie charts, and bar charts.
    • Technologies Used: Python, Pandas, Matplotlib
  • World Bank Gender Statistics Analysis:

    • Description: Examined indicators across various countries using data from the World Bank's Gender Statistics repository, including population, death rate, birth rate, and unemployment rate.
    • Technologies Used: Python, Pandas, Matplotlib, Seaborn

📚 Education

  • MSc Data Science | University of Hertfordshire, England | Sept 2023 – Aug 2025
    • Key Courses: Exploratory Data Analysis, Data Visualization, Machine Learning, Deep Learning, PySpark
  • Bachelor of Computer Applications | MG University, Kerala, India | Sept 2016 – Sept 2019
    • Key Courses: System Design, Microprocessors, Database Management, Data Mining, Java Programming

🏆 Awards And Certifications

  • Microsoft Certified: Azure AI Fundamentals
  • Oracle Cloud Infrastructure 2023 AI Certified Foundations Associate
  • Google Skills Badge - Generative AI Fundamentals

Feel free to explore my repositories and connect with me! I'm always open to collaborations and exciting new opportunities. 🚀


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  1. Deploy-ML-model Deploy-ML-model Public

    Dart 70 23

  2. OnDeviceML OnDeviceML Public

    Dart 10 3

  3. flutter-dark-mode flutter-dark-mode Public

    Dart 6 1

  4. Text-classification-using-sklearn Text-classification-using-sklearn Public

    Python

  5. android-weather-application- android-weather-application- Public

    Location based android weather application

    Java

  6. Transfer_Learning_with_Keras Transfer_Learning_with_Keras Public

    Jupyter Notebook