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eparamasari/README.md

I Stand with Palestine

Hi there πŸ‘‹πŸΌ

I'm a certified data scientist and machine learning engineer with over four years of experience in data science and an interdisciplinary educational background in renewable energy and environmental engineering.

πŸ’‘ Current interests: climate change mitigation and adaptation research, environmental intelligence, renewable energy, and sustainability-related AI and data science projects

🌱 As a lifelong learner with a growth mindset, I seek opportunities to continuously learn new skills. Realizing the rising importance of big data in getting insights, telling stories, and finding solutions for the world's problems, I continue to learn various things related to data science, machine learning, and artificial intelligence to explore how they can be leveraged for social good and sustainability enhancements. I also enjoy learning about other topics, from design thinking to innovation management. I currently hold several certifications:

  • CompTIA DataX
  • PCAP - Certified Associate Python Programmer
  • Google Cloud Professional Machine Learning Engineer Certificate
  • Microsoft Certified: Azure Data Scientist, Power BI Data Analyst, Azure Data Engineer, Azure AI Engineer, Fabric Analytics Engineer Associate, and Azure Cosmos DB Developer Specialty
  • IBM Data Science Professional Certificate
  • AWS Certified Developer and Solutions Architect - Associate
  • Alibaba Cloud Certified Professional (ACP)
  • LFCA: Linux Foundation Certified IT Associate
  • KCNA: Kubernetes and Cloud Native Associate

πŸ’» Tech Stack:

  • Data science/analytics/visualization: Python, R, PySpark, Power BI, Tableau
  • Machine learning: scikit-learn, Tensorflow, PyTorch
  • Generative AI: OpenAI, Huggingface
  • Databases: PostgreSQL, MongoDB
  • Cloud computing: Microsoft Azure, Google Cloud, AWS, Alibaba Cloud
  • Others: git and GitHub, PowerShell, bash

πŸ”­ I also have six years of experience in a managerial position at a multinational company, where I worked with 30 departments in four different countries, reduced costs in our environmental projects by 60%, and initiated 15+ new programs; and a few years in sustainability consulting, working mostly in impact assessment and environmental data analysis.

✨ I’m looking to collaborate on AI for good projects and hackathons.

⚑ When not at work, I read and learn languages. I also enjoy participating in data science hackathons with my fellow ladies at AI Wonder Girls.

πŸ“« How to reach me: LinkedIn

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  1. nlp-clothing-reviews-sentiment-analysis nlp-clothing-reviews-sentiment-analysis Public

    This is a text binary classification task using NLP sentiment analysis on whether to recommend a clothing item or not based on their review using TF-IDF, Random Forest, and BERT.

    Python

  2. solar-energy-community-optimization solar-energy-community-optimization Public

    This is an app that shows people recommended members of a solar energy communityin the city they're in, number and locations for solar panels, initial investment, potential net savings, and carbon …

    Python

  3. AIWonderGirls-Climate-Change-Mitigation-Assistant AIWonderGirls-Climate-Change-Mitigation-Assistant Public

    This Climate Change Mitigation Assistant created by the AI Wonder Girls helps users to answer climate change questions related to their industry

    Jupyter Notebook

  4. Edinburgh_Urban_Farming_Clustering Edinburgh_Urban_Farming_Clustering Public

    In this project, clustering was performed on Edinburgh boroughs to find the most suitable location(s) for urban farming

    Jupyter Notebook

  5. AutoML_vs_HyperDrive_Classification_Azure_ML AutoML_vs_HyperDrive_Classification_Azure_ML Public

    In this project, a binary classification model was trained to predict the event of heart failure. Two methods of training were done, Azure Automated ML and Hyperdrive run.

    Jupyter Notebook 2

  6. Exploring_US_bikeshare_data Exploring_US_bikeshare_data Public

    This Python code explores US bike sharing data through an interactive text interface

    Python