in✉
Open for opportunities

Hey, I'm Pandu 👋

Data Science
& Data Analyst Enthusiast

Where Robust Logic Meets, Seamless Execution.

Enthusiast |

A Data Science enthusiast with a strong interest in Data Analysis, focused on uncovering insights from data and building data-driven solutions. Currently exploring machine learning, predictive analytics, and data visualization.

Get In Touch →Browse Projects
Pandu Bashir Alamin
Expertise

Tools & Skills

Python
JavaScript
TypeScript
🥼Data Science
🤖Machine Learning
🔬Scikit-learn
TensorFlow/Keras
🌳XGBoost
🌴Random Forest
🖰Logistic Regression
📈SVM Model
NumPy
Pandas
📦Joblib
⚙️Algorithm Design
📊Data Analysis
📋Tableau
📉Power BI
📡Plotly
React JS
HTML/CSS
Flask
SQLite
⚡Streamlit
Docker
Git/GitHub
Python
JavaScript
TypeScript
🥼Data Science
🤖Machine Learning
🔬Scikit-learn
TensorFlow/Keras
🌳XGBoost
🌴Random Forest
🖰Logistic Regression
📈SVM Model
NumPy
Pandas
📦Joblib
⚙️Algorithm Design
📊Data Analysis
📋Tableau
📉Power BI
📡Plotly
React JS
HTML/CSS
Flask
SQLite
⚡Streamlit
Docker
Git/GitHub
Who I Am

About me.

A Data Science enthusiast with a strong interest in Data Analysis. Passionate about turning raw data into meaningful insights while continuously improving technical skills. Interested in data visualization, predictive analytics, and solving real-world problems through data-driven approaches.

🎓 Education
Bachelor of Computer Science, Informatics Engineering — Esa Unggul University
Sep 2021 – Aug 2025
Hacktiv8 – AI & Cybersecurity
Aug 2024 – Dec 2024
RevoU – Intro to Data Analytics
November 2025
RevoU –Intro to Software Engineering
june 2026
⚡ Focus Areas
Data Science & Analytics
Machine Learning
Web Development
Business Intelligence
Predictive Analytics
Algorithm Design
Data Visualization
Work

My Best Creations.

📡Data ScienceMachine LearningEDAStreamlitClassification

Telco Customer Churn Prediction

End-to-end churn prediction on 7,043 telco customers (IBM/Kaggle dataset) — benchmarked 3 models, tuned XGBoost to 94.4% recall(0.85 ROC-AUC), validated the decision threshold with financial breakeven analysis, and deployed as an interactive Streamlit dashboard with SHAP explanations.

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Data ScienceMachine LearningStreamlitChurn PredictionB2B SaaS

RavenStack Churn Prediction

An end-to-end churn prediction pipeline for a fictional B2B SaaS Customer Success platform. Trained a Random Forest model achieving 86% recall on a 500-account dataset, including a self-conducted data leakage audit that identified and removed 14 contaminated features. Deployed as an interactive Streamlit app on Hugging Face Spaces.

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📈Data AnalysisData ManagementPythonStatisticsTableau

Historical IHSG Market Analysis

An end-to-end Python analytics pipeline processing 7,681 IHSG trading days across 30 years of market history (1995–2025). This project integrates data validation, feature engineering, and Exploratory Data Analysis (EDA) to dissect volatility shifts, market drawdowns, and crisis-recovery cycles. Insights were rigorously validated using non-parametric statistical tests and translated into 1 comprehensive, interactive Tableau dashboard for executive-level storytelling.

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🗃️SQLPostgreSQLData ManagementData QualityWindow Functions

Historical IHSG Analysis with SQL

End-to-end PostgreSQL data analytics project exploring 31 years of market evolution (1995–2026) across 7,681+ historical trading days. Engineered using 23 complex SQL queries (including advanced window functions, CTEs, and automated anomaly checks) to extract 4 core headline metrics and 4 deep-dive technical insights on growth, risk, and liquidity.

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Data AnalysisEDAPythonStatistical AnalysisTableau

Lead Conversion Analysis

An end-to-end data analysis project exploring 4,612 EdTech leads to identify patterns associated with lead conversion. Covers demographic characteristics, acquisition channels, website engagement, and statistical validation, with findings presented through an interactive Tableau dashboard.

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☕Data AnalysisData VisualizationGoogle SheetsExcelTableauPower BI

Coffee Shop Sales Analysis: From Raw Data to Daily Decisions

A data analytics case study from the RevoU Mini Bootcamp processing 149,116 sales transaction records across coffee shop locations in New York City (Jan–Jun). This project transformed raw data into actionable business insights using multidimensional aggregation (Google Sheets & Excel Pivot Tables) alongside interactive Tableau Public and Power BI dashboards. The analysis evaluates top-selling products (inventory priority), peak traffic days (staffing optimization), peak revenue hours (shift scheduling), and monthly category trends to drive data-informed marketing strategies.

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📊Web DevelopmentReactDashboard

Life Dashboard

A personal productivity dashboard for tracking focus sessions, tasks, and quick links in one clean interface. Originally built during a RevoU Software Engineering Bootcamp, then independently extended into a full production app with React, TypeScript, and a Supabase backend.

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♻️Deep LearningComputer VisionGradioHuggingFace

Garbage Classification App

A computer vision app deployed on Hugging Face Spaces that classifies images of trash into cardboard, glass, metal, paper, plastic, or general waste in real time.

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🧬Machine LearningFlaskSQLiteSVM

Child Growth Classification App

A web-based application built with Flask and SQLite that utilizes Support Vector Machine (SVM) models via joblib to classify and track child development metrics.

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Built with ❤️ · Jakarta, Indonesia
© 2025 Pandu Bashir Alamin