Initializing Data Science Portfolio...
0%

Hello, It's Me

Ahmad Faik Setiawan

And I'm a Data Scientist

Passionate about turning raw data into impactful insights, I specialize in data science, data analysis, and business intelligence. With hands-on experience in Python, SQL, and various analytical tools, I aim to solve real-world problems through data-driven decision making.

Download CV
Ahmad Faik - Data Scientist
About Ahmad Faik

About Me

Data Scientist & Analytics Expert

I hold a degree in Islamic Law from Al-Azhar University, where I developed strong critical thinking, structured analysis, and problem-solving skills. Transitioning into the data field, I have strengthened my expertise through intensive training at Purwadhika Digital Technology School and a Data Analyst Bootcamp at Coding Studio. This diverse background equips me with both analytical rigor and ethical perspectives in approaching data-driven challenges.

Currently, I serve as a Data Analyst Intern at Compas.co.id, a company specializing in market insights and e-commerce enablement. My work focuses on transforming complex FMCG and marketplace datasets into actionable business insights through data visualization, statistical modeling, and machine learning. I am passionate about leveraging data to optimize decision-making, identify market opportunities, and drive measurable business impact.

Education

My academic background and continuous learning journey.

Bachelor of Islamic Law

2019 - 2023
Al-Azhar University, Cairo, Egypt

Graduated with a major in Islamic Law, developing strong analytical thinking, structured problem-solving, and ethical reasoning skills. This foundation has proven invaluable in approaching data science challenges with integrity and systematic methodology.

Data Analyst Bootcamp

2024
Coding Studio, Jakarta, Indonesia

Completed an intensive Data Analytics bootcamp focused on Excel for Data Analysis, data cleaning, analysis, and business storytelling. Gained hands-on experience with real-world projects, applying Excel, Python, SQL, and visualization tools to transform complex datasets into clear, actionable insights for decision-making.

Data Science, Machine Learning, & AI

2025
Purwadhika Digital Technology School, Jakarta, Indonesia

Intensive bootcamp program focusing on practical data science applications. Curriculum covers advanced Data Analysis and Wrangling with Python & SQL, comprehensive Machine Learning techniques including Regression, Classification, Clustering, and Time Series Analysis, plus hands-on experience with industry-standard visualization tools like Looker Studio and Tableau.

Work Experience

My professional journey and the companies I've worked with.

Data Analyst

June 2025 - Present
Compas.co.id
Jakarta, Indonesia
Internship
  • Assisted in data analysis projects for leading clients such as Danone, Indocare, Bintang Toedjoe, and Scarlett.
  • Focused on customer behavior, sales trends, competitor landscape, and business performance, delivering actionable insights that supported strategic decision-making.
  • Transformed complex datasets into clear business recommendations through visualization and reporting, strengthening market insights and e-commerce enablement initiatives.

My Skills

Data Analysis & Programming

Python SQL Google BigQuery Excel for Data Analysis Data Cleaning & Wrangling Statistical Analysis Machine Learning Time Series Analysis Data Mining Predictive Modeling

Data Visualization & BI

Looker Studio Tableau Data Storytelling Dashboard Design Report Creation Interactive Visualizations KPI Development

Soft Skills

Analytical Thinking Problem Solving Attention to Detail Critical Thinking Communication Collaboration Adaptability Time Management

Tools & Platforms

Google Workspace Microsoft Office Suite Canva Google Slide Jupyter Notebooks Git & GitHub Docker

My Services

Data Science

End-to-end data science solutions including predictive modeling, machine learning implementation, and statistical analysis. I transform complex data into strategic insights that drive business growth and innovation.

View Projects

Data Analysis

Comprehensive data analysis services including exploratory data analysis, statistical testing, and trend identification. I help organizations uncover hidden patterns and make data-driven decisions with confidence.

View Projects

Business Intelligence

Interactive dashboards and strategic reporting solutions that provide real-time insights. I create BI systems that empower teams with the clarity and information they need to succeed in competitive markets.

View Projects

My Projects

Here are my recent data science, analytics, and machine learning projects. Each project demonstrates different aspects of my technical and analytical capabilities.

Stock CLI Project

Internship Report

A comprehensive report on my internship experience, highlighting key achievements, challenges, and lessons learned.

Python Google BigQuery Google Looker Studio Google Cloud Platform Google Sheets Microsoft Excel n8n
Stock CLI Project

Stock Management CLI

A command-line application for efficient stock data management with full CRUD functionality, built using Python and SQLite for robust data handling.

Python SQLite CLI CRUD
Hotel Cancellation Prediction

Hotel Cancellation Prediction

This project aims to build a machine learning model to predict hotel booking cancellations. By analyzing historical booking data, the model assists hotels in optimizing overbooking strategies and improving revenue management.

Python Pandas Scikit-learn XGBoost SMOTE Matplotlib Seaborn Feature Engineering Model Evaluation
Unilever Stock Forecasting

Unilever Stock Forecasting

Advanced time series analysis using Prophet to forecast UNVR stock prices. Includes trend analysis, seasonality detection, and investment decision-making insights with interactive visualizations.

Python Pandas NumPy Matplotlib Plotly Prophet Time Series Analysis Forecasting Financial Analysis
NYC Green Taxi Analysis

NYC Green Taxi Analysis

Comprehensive analysis of NYC green taxi trip data to optimize operational efficiency and revenue generation. Includes geospatial analysis, demand forecasting, and data-driven recommendations for taxi operations.

Python Pandas NumPy GeoPandas Folium Matplotlib Seaborn Tableau Geospatial Analysis Operational Efficiency
E-Commerce Retention Analysis

E-Commerce Retention Analysis

Customer retention analysis for e-commerce platform identifying key loyalty drivers and strategies to boost retention. Includes cohort analysis, RFM segmentation, and actionable business recommendations.

Python Pandas NumPy Matplotlib Seaborn Plotly Google Looker Studio Cohort Analysis RFM Analysis Churn Analysis Customer Segmentation Business Intelligence

Contact Me

Email

faiquc29@gmail.com

Phone

+62 123 456 7890

Location

Jakarta, Indonesia