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zawanahs/README.md

Hi there, I'm Zawanah 👋

I'm an accountant turned analyst and now, tech enthusiast👩🏼‍💻. I thrive on the autonomy of exploring new tools, new ways of working and leveraging them to design✍🏼 and build solutions that make our lives easier. I enjoy being part of an uplifting community of lifelong learners🤓 which led me to discover (and volunteer with) Women Devs SG, a community with a mission to create spaces for women to thrive in their technical careers🫱🏻‍🫲🏼. I value different perspectives so I enjoy listening to podcasts📻 and watching sci-fi/fantasy shows📺 that leave you inspired to build a better future🌱. I stay active by cycling 🚲 and running 👟.

Tool stack

Claude ChatGPT n8n Tableau PowerBI Microsoft MicrosoftSQLServer MySQL Postgres SQLite Kaggle Python NumPy Pandas Matplotlib Plotly scikit-learn Asana Airtable Jupyter Notebook Obsidian Visual Studio Code Duolingo Canva DaVinci Resolve Figma AutoDesk

Reach me @

Follow zawanahs on LinkedIn

Reminders

"Do not mistake my questions for ignorance; they are the instruments by which I refuse to remain confused"

Fun stats

Duolingo Stats

Recent Github Activity

  1. 🗣 Commented on #131 in Women-Devs-SG/womendevssg

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  1. sat-act-analysis sat-act-analysis Public

    The project explores what affects SAT participation rates and recommends changes to drive higher participation rates.

    Jupyter Notebook

  2. credit-card-fraud credit-card-fraud Public

    Binary classification problem to detect fraudulent transactions. Challenges include dealing with imbalanced classes and selecting an appropriate evaluation metric.

    Jupyter Notebook

  3. pricing-products pricing-products Public

    2-step project where I first cluster (using KMeans, DBSCAN, Aggolmerative Clustering) retail transactions data. Following that, apply regression models (Lasso, ElasticNet, Ridge) to each cluster fo…

    HTML

  4. solar-power solar-power Public

    Applied clustering algorithm on 29 countries to narrow scope of analysis. Time series forecasting of solar energy potential of a country using fbprophet and neural networks.

    Jupyter Notebook 1

  5. web-api-and-classification web-api-and-classification Public

    The project addresses a binary classification problem (between r/Conservative and r/democrats) based on data scraped off the respective subreddits, using reddit API.

    HTML

  6. life-insurance-assessment life-insurance-assessment Public

    Multi-classification problem where the goal of the project is to determine risk level of a particular applicant based on his/her background (Eg. medical history etc.)

    Jupyter Notebook