Skip to content
View fitria-dwi's full-sized avatar
5 followers · 0 following
Block or Report

Block or report fitria-dwi

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
fitria-dwi/README.md

Hi, I'm Wulan

A graduate in Statistics who always expands experience and knowledge. Highly motivated and detail-oriented individual who has an interest in the data analytics field, such as Business Intelligence, Data Analyst, and Data Scientist. Possess a strong foundation in data analysis, visualization, and reporting. Acquired skills in Microsoft Excel, Python, RStudio, SPSS, SQL, and Tableau. Proven abilities to translate information and present data findings using graphics for diverse groups of people. Strong organizational skills and the ability to work independently or in a team.

With my comprehensive foundation in data, I’m ready to tackle more challenges and thrive in data analytics.

LinkedIn

Stats:

What i am learning/working on these days - 🔭 I'm currently working on several independent projects.
- 🌱 I’m currently learning Google Analytics 4.

Pinned

  1. Customer-Marketing-Analytics Customer-Marketing-Analytics Public

    Enhance iFood's profitability with targeted marketing strategies by performing customer segmentation and developing models to predict responses to the next campaign.

    Jupyter Notebook

  2. All-U-Need-Mart-Analysis All-U-Need-Mart-Analysis Public

    Boost All-U-Need Mart's growth and customer satisfaction in the next quarter by analyzing Q1 2019 data to create an insightful sales performance dashboard.

  3. Credit-Risk-Prediction Credit-Risk-Prediction Public

    Minimizing bad-risk loan approvals by accurately predicting the applicant's credit risk to reduce financial losses and improve the decision-making process.

    Jupyter Notebook 2

  4. Hoax-Detection Hoax-Detection Public

    Combat misinformation and fake news by accurately predicting the truth of the article to prevent the spread of harmful information that could lead to confusion, panic, or societal harm.

    Jupyter Notebook 2

  5. Coffee-Shop-Dashboard Coffee-Shop-Dashboard Public

    Boost sales of new products in the coffee shop business by conducting a comprehensive performance evaluation using the sales performance dashboard based on products, outlets, and staff.

  6. Home-Credit-Score-Card-Model Home-Credit-Score-Card-Model Public

    Reduce the rejection of creditworthy clients by accurately assessing clients' repayment abilities to ensure the creditworthy clients are approved and provided with suitable loan terms.

    Jupyter Notebook 1