Ali Ibtisam · Machine Learning & Explainable AI Status: Available for Opportunities · Malaysia
Open to ML & Explainable AI roles — Malaysia Offen für ML & Explainable AI Positionen — Malaysia

Ali Ibtisam

machine_learning.engineer()

Data science undergraduate (CGPA 3.84/4.0) building end-to-end ML systems — XGBoost pipelines with global & local SHAP interpretability, dialect-aware LLM business intelligence, and deployed production apps. Data-Science-Student (CGPA 3.84/4.0) im Bereich Machine Learning — XGBoost-Pipelines mit SHAP-Modell-Erklärbarkeit, LLM-gestützte Business Intelligence und produktive Webanwendungen.

ROC_AUC_MODEL
0.00
XGBoost churn model
DEPLOYED_APPS
0
live in production
DATA_PIPELINE
0
records processed
Ali Ibtisam

Ali Ibtisam

ml_engineer.explainable_ai()
XGBoost
SHAP
Python
LangChain
PostgreSQL
Plotly
Python / ML (XGBoost, Scikit-Learn)95%
Model Explainability (SHAP)90%
BI / Visualization (Plotly, Power BI)88%
SQL / Data Eng. (PostgreSQL, Supabase)85%
CGPA 3.84 / 4.0 — AIU Scholar PDF ⇩
01. Executive Summary

About Ali Ibtisam Über Ali Ibtisam

I am a Data Science undergraduate at Albukhary International University (AIU), Malaysia, on a 100% Fully Funded Scholarship. I specialize in building end-to-end machine learning pipelines with rigorous model explainability (SHAP) and deploying production-grade Generative AI applications.

Ich bin ein Data-Science-Student an der Albukhary International University (AIU) in Malaysia mit einem 100 % voll finanzierten Stipendium. Mein Schwerpunkt liegt auf End-to-End-Machine-Learning-Pipelines mit Modell-Erklärbarkeit (SHAP) sowie produktiven Generative-AI-Systemen.

With three deployed projects—including an LLM-powered SQL BI command center (DataPilot AI), an explainable telecom churn dashboard, and a live campus marketplace (AIU Market)—I transform complex datasets into interpretable, high-impact intelligence.

Mit drei produktiven Projekten – darunter ein LLM-gestütztes BI-Kommandozentrum (DataPilot AI), ein erklärbares Churn-Dashboard und ein aktiver Campus-Marktplatz (AIU Market) – verbinde ich technische ML-Algorithmen mit transparenter Entscheidungsfindung.

Scholarship
100% Fully Funded Scholar
Albukhary Foundation (AIU, Malaysia)
Academic Standing
CGPA 3.84 / 4.0
Top Tier First Class Honors
Core Focus
Explainable AI & GenAI
XGBoost, SHAP, LangChain & Enterprise BI
02. Technical Skills

Skills & Technologies Fähigkeiten & Technologien

Primary Specialty
ML & Explainable AI
XGBoost SHAP Scikit-Learn Random Forest Regression Classification Feature Eng. Cross-Validation A/B Testing
AI Engineering
Generative AI & LLMs
LangChain Groq LLM Apps Prompt Engineering Dialect-Aware SQL AST Parser
Core Analytics
Python & SQL Analytics
Python SQL Pandas NumPy EDA Statistical Inference Hypothesis Testing
Business Intelligence
BI & Interactive Viz
Plotly Power BI Tableau Seaborn Matplotlib Excel Modeling
Data & Databases
Databases & Backend
PostgreSQL Supabase MySQL SQLite API Integration Schema Design
Production & Tools
Deployment & Workflows
Streamlit Next.js Git & GitHub Jupyter Notebook Vercel CI/CD
03. Featured Projects

Deployed Machine Learning & AI Systems Produktive Machine Learning & KI Systeme

DataPilot AI Business Intelligence Command Center Real Screenshot
● LIVE // AI COMMAND CENTER 2026

DataPilot AI — Universal AI Business Intelligence Command Center

LangChain · Groq · PostgreSQL · MySQL · SQLite · Plotly

Built an LLM-powered business intelligence platform converting natural language into dialect-aware SQL across PostgreSQL, MySQL, and SQLite. Engineered AST security guardrails blocking 34/34 SQL-injection attack vectors with sub-50ms query cache latency and automated KPI discovery across 4 business domains. LLM-gestütztes BI-Tool zur Übersetzung natürlicher Sprache in dialektgerechtes SQL. Enthält AST-Sicherheits-Guardrails zur Blockierung von 34/34 SQLi-Angriffsvektoren, sub-50ms-Query-Caching und automatisierte KPI-Plotly-Dashboards über 4 Unternehmensdomänen.

SQLi: 34/34 Blocked
Tests: 100/100 Passed
Cache: < 50ms
Domains: 4 Benchmark
Customer Churn Prediction & Explainability Dashboard Real Screenshot
● LIVE // STREAMLIT APP 2026

Customer Churn Prediction & Explainability Dashboard

XGBoost · SHAP · Scikit-Learn · Streamlit · Pandas

End-to-end churn prediction pipeline on 7,043 telecom customer records with stratified oversampling for class balance. Benchmarked Logistic Regression, Random Forest, and XGBoost (ROC-AUC 0.88, Recall 0.78). Integrated global/local SHAP explainability (beeswarm & waterfall plots) inside a 5-page interactive Streamlit dashboard. End-to-End-Abwanderungsprognose auf 7.043 Telekom-Datensätzen mit stratifiziertem Oversampling. XGBoost erzielte beste Ergebnisse (ROC-AUC 0.88, Recall 0.78). Integrierte globale und lokale SHAP-Erklärbarkeit in einem interaktiven 5-seitigen Streamlit-Dashboard.

ROC-AUC: 0.88
Records: 7,043
Recall: 0.78
Architecture: 5-Page App
AIU Market Student Marketplace Real Screenshot
● LIVE // CAMPUS PLATFORM AUG 2026

AIU Market — Centralized Student Marketplace

Next.js · React · Supabase · PostgreSQL · UI/UX

Co-built a centralized campus marketplace exclusively for AIU students within a 3-person team, enabling trusted peer-to-peer buying and selling. Owned frontend development in Next.js backed by Supabase/PostgreSQL, reaching 70+ registered users and 25+ active listings within days of launch. Mitentwicklung eines zentralen Campus-Marktplatzes exklusiv für AIU-Studierende in einem 3-Personen-Team. Leitung der Frontend-Entwicklung in Next.js mit Supabase/PostgreSQL-Backend, über 70 registrierte Nutzer und 25+ aktive Angebote in den ersten Tagen.

Users: 70+ Post-Launch
Listings: 25+ Active
Target: 1,500+ Campus
Team: 3 Engineers
04. Work Experience

Professional History Beruflicher Werdegang

Campus Ambassador — Student Community & Growth Lead
GeeksforGeeks · Remote / Malaysia
  • Recruited and onboarded 60+ students within 3 months, exceeding regional targets by 20% through data-driven outreach campaigns and peer-to-peer engagement strategies. Gewinnung und Onboarding von über 60 Studierenden in 3 Monaten, wodurch die regionalen Zielvorgaben durch datenbasierte Kampagnen um 20 % übertroffen wurden.
  • Analyzed weekly platform engagement metrics to optimize content strategy for data science challenges and coding contests, contributing to a 35% increase in weekly active users. Analyse wöchentlicher Plattform-Engagement-Metriken zur Optimierung der Content-Strategie für Data-Science-Wettbewerbe, was zu einem Anstieg der wöchentlich aktiven Nutzer um 35 % führte.
  • Facilitated 3+ technical sessions on data science career pathways and Python/ML fundamentals to 40+ attendees, achieving 85% positive feedback. Leitung von mehr als 3 technischen Workshops über Karrierewege in Data Science und Python/ML-Grundlagen für über 40 Teilnehmer mit einer Zufriedenheitsquote von 85 %.
05. Education

Academic Qualifications Akademische Qualifikationen

OCT 2025 – EXPECTED 2028

Bachelor of Data Science (Honours)

Albukhary International University (AIU), Malaysia
CGPA: 3.84 / 4.0 · Fully Funded Scholarship
Coursework:
Data Science Fundamentals Python Programming Probability & Statistics Machine Learning SQL & Databases
Languages:
English (Full Professional) Urdu (Native) German (Elementary)
DOWNLOAD OFFICIAL RESUME (PDF) ⇩
06. Certifications & Honors

Verified Credentials Verifizierte Zertifikate

DATACAMP 2026
Python Data Associate
Verified Professional Credential · Data Manipulation & Analytics
VIEW CREDENTIAL / DRIVE ↗
NEBIUS AI 2026
Armenia LLM Summer School
Advanced Large Language Models & Generative AI Architectures
VIEW PROGRAM / DRIVE ↗
FAST NATIONAL UNIVERSITY OCT 2023
2nd Place — FAST Problem Solving Challenge
High-Pressure Algorithmic & Analytical Problem Solving Award
AWARD DISTINCTION ★
07. Contact & Connect

Get In Touch Kontakt aufnehmen