Hi! I'm Mushthafa
Aminur Rahman
Bridging the gap between raw data, operational workflows, and strategic performance. Turning data into actionable intelligence.
Everything you need
to know about me.
Telkom University
I am a Data Science graduate from Telkom University specializing in business intelligence, management consulting, and strategic operations. I have a proven track record of bridging raw technical data with actionable organizational strategy.
From building Workload Analysis (WLA) and predictive modeling engines to deploying automated operational pipelines and vendor management frameworks, I focus on turning complex datasets into scalable, practical solutions that drive real-world organizational performance.
Core Competencies
My Professional
Journey.
- Managed business operations and class redistribution frameworks for Sparks Sports Academy, streamlining organizational scheduling and communications between regional centers and head office leadership.
- Standardized vendor management frameworks and operational compliance guidelines across commercial units, optimizing vendor SLA tracking, facility utilization, and recurring expenditure.
- Engineered a real-time Class Redistribution & Operational Sync Pipeline (React, Django REST, PostgreSQL, n8n), eliminating cross-departmental coordination bottlenecks and accelerating response rates for management.
- Designed and deployed a dual-level Workload Analysis (WLA) Machine Learning Engine for a major pharmaceutical enterprise, using PyTorch, XGBoost, CatBoost, and SHAP to predict position-level FTEs and optimize headcount allocation.
- Conducted multi-level corporate capability modeling and detailed RASCI matrix alignments for a municipal rapid transit operator, synthesizing complex operational workflows into structured governance documentation.
- Developed an automated training effectiveness analytics pipeline for a leading FMCG confectionery brand to evaluate employee learning gains and long-term KPI competency growth.
- Co-developed the AOBA Workforce Intelligence Platform, architecting Next.js frontends and Django REST backends with built-in PII encryption (AES-256) for UU PDP compliance and XGBoost models for predictive attrition.
- Led backend architectures, relational schemas, and internal dashboards for templatehrd.com and internal management platforms using TypeScript and PostgreSQL.
- Processed and structured millions of high-volume, daily server access and telemetry logs across critical state utility infrastructure to analyze operational throughput and platform performance metrics.
- Designed statistical anomaly detection workflows to flag system irregularities early, reducing manual verification overhead by 20% and delivering proactive risk reports for supervisors.
- Authored comprehensive technical documentation for data migration processes and server-side tracking logic to ensure knowledge transfer, clean database state tracking, and compliance.
- People Analytics: Managed and analyzed internal member performance data to optimize department workflows and increase overall organizational engagement.
- Led cross-functional teams in organizing technical public workshops and industry networking seminars, successfully connecting corporate standard expectations with student developers.
- Designed the internal reporting structure for association projects to ensure clear progress tracking, workload balancing, and accountability.
- 2024 – 2025: Non-Commanding Officer (Advisor), providing strategic oversight and guidance for festival execution.
- 2023 – 2024: Senior Operations Officer, managing operational data, budgets, asset logistics, and resource tracking for thousands of attendees.
- 2022 – 2023: Staff of Public Relations & Sponsorships, coordinating outreach and vendor logistics.
- Analyzed historical attendance and sales data to mathematically optimize event layout planning, structural flow charts, and safety corridors for incoming visitors.
- Undergraduate Thesis: Applied Deep Neural Network (DNN) architectures and SHAP (SHapley Additive exPlanations) for model interpretability to isolate and evaluate global university ranking parameters.
- Core Focus: Big Data Analytics, Statistical Inference, Predictive Modeling, Machine Learning, Cloud Computing, and Operations Research.
Checkout some of my
projects and works!
AOBA Platform
A predictive workforce intelligence platform targeting SMEs, offering predictive attrition modeling (XGBoost + SHAP) and automated anomaly detection.
Yukinon Music Player
A hybrid, audiophile-focused music player combining local files and remote streaming under a single queue with a Web Audio API 10-band equalizer.
Predictive Workload Modeling (WLA)
A dual-level machine learning engine built for a major pharmaceutical manufacturer to predict position-level FTEs and employee-level workload factors with SHAP model explainability.
LRT Capability & RASCI Modeling
Designed and mapped organizational capabilities and RASCI responsibility matrices for a municipal rapid transit operator to optimize operational workflows.
KPI Training Effectiveness
Developed an automated python pipeline to analyze employee pre-test and post-test scores by division for a leading confectionery brand\'s KPI training program.
TemplateHRD.com
A specialized web platform designed to streamline HR documentation and processes, featuring backend microservices and internal dashboards using TypeScript and PostgreSQL.
Predictive Stock Engine (LSTM)
Developed a neural network-based dashboard using Streamlit to predict stock price movements with integrated real-time news sentiment analysis.
Nuclear Power Dashboard
Visualized the benefits and statistics of nuclear power plants versus other power sources to emphasize its potential as a sustainable low-emission solution.
National Poverty Trends
A user-centered design project visualizing Indonesian poverty data through a high-fidelity infographic to drive public awareness on education's impact.