Khairunnisa Aulia Rahma | Portfolio

Welcome to my portfolio! Here, you’ll find a collection of my professional projects, academic achievements, and organizational experiences. I am passionate about consulting, data analytics, and machine learning, and I strive to deliver impactful solutions through innovative approaches.

Education

Bandung Institute of Technology (ITB) (2022 - Present)

S1 Industrial Engineering

Project Consulting

PROXSIS Consulting Group

PROXSIS Consulting Group is a leading consulting firm in Indonesia, providing advisory and consultancy services as part of the PROXSIS and Co. holding company. During my Internship as an Associate Consultant, I contributed to high-impact national-scale projects for State-Owned Enterprises (SOEs), focusing on risk management, contingency planning, and performance optimization.

Key Contributions:

✅ Supported 5 National-Scale Projects:

• Contingency Plan for Oil and Gas - Pertamina Holding
• Enterprise Risk Management (ERM) - Kominfo
• Business Process Management (BPM) - Injourney
• Balanced Scorecard (BSC) - BPKH
• ISO 37001 - Pasar Jaya

✅ Technical Documentation & Analysis:

• Authored 5+ technical documents, including data analysis reports, machine learning insights, and executive summaries.
• Assisted and observed 5+ senior consultants during in-person meetings, gap assessments, and client discussions.

✅ Risk Management & Financial Analysis:

• Ensured the accuracy of 5+ financial models, calculation sheets, and strategic presentations.
• Drafted 3+ risk management documents addressing operational and financial risks for key clients.
• Leveraged machine learning techniques (XGBoost) to analyze correlations between financial indicators and Z-score for Pertamina’s contingency planning.

✅ KPI Management & Performance Monitoring:

• Transferred and structured 50+ Key Performance Indicators (KPIs) from client presentations into structured spreadsheets for improved tracking and decision-making.

Documentation

Project Data Analytics and Science

1️⃣ Food Sales Data Analytics Dashboard (Streamlit Interactive Dashboard)

📌 Objective: This project involves building an interactive dashboard to analyze food product sales data, enabling businesses to track sales trends, monitor product performance, and understand customer preferences.

📌 Key Features:

• Comprehensive KPIs: Tracks total sales, stock availability, and revenue trends.
• Data Filtering: Users can filter sales data by date range, product category, and region.
• Target vs. Actual Sales: Helps businesses assess their progress toward a $50,000 revenue goal.
• Monthly Sales Trends: Identifies seasonal trends for strategic inventory planning.

📌 Technology Stack:

• Data Cleaning & Preparation: Pandas, NumPy
• Visualization: Matplotlib, Seaborn
• Dashboard Development: Streamlit

🔗 View the Dashboard: Food Sales Dashboard

🔗 Git Hub: Food Sales GitHub

📌 Project Insights:

• Identified top-performing products and sales regions for targeted marketing.
• Analyzed seasonal fluctuations to optimize stock levels and revenue growth.
• Provided data-driven recommendations to improve sales performance and inventory management.

2️⃣ Penguin Species Prediction Data Analytics Dashboard (Machine Learning + Streamlit)

📌 Objective: This project leverages machine learning to predict penguin species based on physical characteristics and location, providing an interactive dashboard for researchers and wildlife conservationists.

📌 Key Features:

• ML Model Integration: Predicts penguin species with 95% accuracy.
• Feature Importance Analysis: Identifies key traits influencing predictions.
• Species Distribution Mapping: Shows population trends across different islands.
• Interactive Dashboard: Users can input new data and receive real-time predictions.

📌 Technology Stack:

• Data Processing: Pandas, NumPy
• Machine Learning: Scikit-learn (Random Forest, XGBoost)
• Visualization: Seaborn, Matplotlib
• Dashboard Development: Streamlit

🔗 View the Dashboard: Penguin Prediction Dashboard

🔗 Git Hub: Penguin Prediction GitHub

📌 Project Insights:

• Discovered strong correlations between body size, weight, and species classification.
• Developed a reliable machine learning model to assist ecological research and species monitoring.
• Created a user-friendly tool for data exploration and wildlife analysis.

3️⃣ Loan Approval Prediction Model

📌 Objective: Developed a machine learning model to predict loan approval status based on applicant financial history, credit score, employment status, and other key factors.

📌 Key Features:

• Predictive Accuracy: Achieved 88% accuracy using Random Forest.
• Feature Importance Analysis: Identified key variables affecting loan approval decisions.
• Risk Assessment: Provided insights into financial risk factors influencing approval rates.

📌 Technology Stack:

• Data Processing: Pandas, NumPy
• Machine Learning: Scikit-learn (Random Forest, XGBoost)
• Visualization: Seaborn, Matplotlib

🔗 Google Colab: Loan Prediction

📌 Project Insights:

• Helped financial institutions assess applicant creditworthiness more effectively.
• Improved risk assessment models for better decision-making in loan approvals.

University Projects

1️⃣ Operational Research: FMCG Logistics Optimization in Indonesia

• Developed an optimization model to minimize transportation costs for an FMCG company.
• Utilized mathematical modeling, transportation models, and Excel Solver to identify cost-effective logistical strategies.
• Provided actionable insights to enhance supply chain efficiency.

🔗 Power Point: Logistic Optimization

2️⃣ GSIC Consulting x Ruangguru: Blue Ocean Strategy for SEED

• Led a market research initiative to explore new business opportunities for Ruangguru.
• Proposed an innovative green education concept to align with sustainability trends.
• Conducted feasibility analysis and competitive landscape evaluation.

🔗 Power Point: Blue Ocean Strategy

Awards & Achievements

🏅 1st Place - Business Plan Competition, TECFEST ITB 2024

🏅 1st Place - Business Plan Competition, Brawijaya Business Career 2023

🏅 2nd Place - Business Plan Competition, DEF UNDIP 2024

Leadership & Organizations

1️⃣ Vice Leader, GSIC Consulting (2024 - Present)

• Led and designed Blue Ocean Strategy consulting projects.

2️⃣ Assistant, Information Systems & Decision Laboratory (LSIK ITB) (2024 - 2026)

• Taught students about information systems design and decision-making models.

3️⃣ Finance, Himpunan Keluarga Mahasiswa Teknik Industri (BSO MTI)

• Managed revenue and sales operations with an 80% KPI achievement target.

Let’s Connect!

📩 Email: khairunnisaauliarahma7785@gmail.com
🔗 GitHub: Khairunsa
🔗 LinkedIn: Khairunnisa Aulia Rahma