• 👩‍🎓 I'm a Statistics graduate from Malaysia.
• 🔭 I'm seeking for a job opportunity in data science and analytics fields, or any other related fields.
• 🌱 I’m currently exploring Data Science.
• ⚡ In my spare time, I'm always involved in data mining and machine learning projects.
• 📫 How to reach me:

    Note: The dates indicate the month and year when each project was completed.

• Identification of Disaster Related Tweets using NLP based Text Classification   |   May 2023   |   Show project
  • Developed an NLP-based text classification model in Python to predict whether a given tweet is disaster-related.
  • Utilized libraries such as Pandas, NumPy, Seaborn, Matplotlib, SciPy, Plotly, NLTK, re, collection, wordcloud, TensorFlow, scikit-learn.
  • Techniques employed: EDA, Text Preprocessing, Classification Model Comparison (Linear SVC, Multinomial NB, Neural Network).
  • Achieved an AUC score of 0.86 using a Linear SVC model. (Good separability between disaster and non-disaster tweets)

• Churn Customer Prediction using Machine Learning   |   Apr 2023   |   Show project
  • Visualized the IBM Community's Telco Churn Dataset to quickly gain insights using Python in Jupyter Notebook.
  • Developed a churn prediction model using machine learning algorithms in Python to identify whether a customer has churned.
  • Utilized libraries such as Pandas, NumPy, Seaborn, Matplotlib, Plotly, H3, Folium, TensorFlow, imblearn, scikit-learn, XGBoost.
  • Techniques employed: EDA, Data Visualization, Classification Model Comparison (Random Forest, Logistic Regression, AdaBoost, XGBoost).
  • Obtained an AUC score of 0.86 using an XGBoost classifier.

• Web Scraping Booking.com   |   Apr 2023   |   Show project
  • Scraped valuable hotel data in Kuala Lumpur, Malaysia from Booking.com using Beautiful Soup library in Python.
  • Extracted information such as hotel names, locations, room types, scores, ratings, number of reviews, distance from the center, and prices.
  • Utilized libraries such as Pandas, Requests, Beautiful Soup (bs4), RegEx (re).
  • Techniques employed: Data Extraction

• Kaggle Titanic - Machine Learning from Disaster Competition   |   Mar 2023   |   Show project
  • Developed a machine learning model in Python to predict survival on the Titanic.
  • Utilized libraries such as Pandas, NumPy, Seaborn, Matplotlib, scikit-learn, TensorFlow.
  • Techniques employed: EDA, Feature Engineering, Data Visualization, Classification Model Comparison (Random Forest, Logistic Regression, Complement Naive Bayes).
  • Achieved a stratified k fold CV score of 0.85 using a Random Forest model.

• Feature Engineering - Convert UTC time to Local time   |   Mar 2023   |   Show project
  • Converted UTC time to Malaysia Standard Time.
  • Utilized libraries such as Pandas, DateTime, Dateutil, pytz.
  • Techniques employed: Feature Engineering.

• Data Visualization for Worldwide Movie Series   |   Jan 2023   |   Show project
  • Presented graphical visualizations using Python to highlight patterns and trends in movie series data.
  • Utilized libraries such as Pandas, NumPy, Seaborn, Matplotlib, wordcloud.
  • Techniques employed: EDA, Feature Engineering, Data Visualization.

• Online Payment Fraud Detection using Machine Learning   |   Dec 2022   |   Show project
  • Trained machine learning models in Python to identify fraudulent and non-fraudulent payments.
  • Utilized libraries such as Pandas, NumPy, Seaborn, Matplotlib, Tabulate, scikit-learn.
  • Techniques employed: EDA, Data Visualization, Classification Model Comparison.
  • Obtained an F1 score of 0.79 using a Random Forest model.

• Cookies Sales Dashboard   |   May 2023   |   Show project
  • Prepared data for the cookies sales dashboard using Query Editor in Power BI.
  • Created a cookies sales dashboard using Power BI, showcasing cookies sales, cost, profit, lead time, flavour and customer.

• Flight Ticket Sales Analysis Dashboard   |   Jan 2023   |   Show project
  • Queried an airline flight ticket dataset from Airlines Database using PostgreSQL (SQL).
  • Created a flight ticket sales dashboard using Tableau, showcasing ticket sales, fare conditions, booking period, aircraft, departure and arrival airports.

• KPMG Data Analytics Consulting Virtual Internship   |   Nov 2022   |   Show project
  • Participated in KPMG Virtual Experience Program with Forage to gain insight into working at KPMG to develop career skills and experience.
  • Completed tasks including data quality assessment, data insights analysis using Python (Jupyter Notebook) and data dashboard presentation using Tableau.

• Non-parametric Test for Patient Health Status   |   Mar 2022   |   Show project
  • Analyzed the Patient Health Status using non-parametric tests such as Shapiro-Wilk, Wilcoxon Rank Sum, Ansari-Bradley, Kolmogorov-Smirnov, Kruskal-Wallis and Spearman's Correlation Tests as data distribution assumptions of parametric tests are not met.

• Ecommerce Dashboard  |   Jul 2021   |   Show project
  • Visualized ecommerce data in a dashboard using Google Data Studio, displaying sessions, transactions, revenue, product checkout, average order value, conversion rate, and more.

• Java Application -Simple Student Information System   | Nov 2019 |   Show project
  • Writed a Java application to represent a simple Student Information System.