Hi, I'm Rizka Luthfiani
Cumlaude graduate in Agrotechnology, now channeling analytical rigor into product & project leadership and data engineering. I bridge teams, translate requirements, and deliver outcomes — on time, every time.
About me
Where Structure Meets Analytics
I'm Rizka Luthfiani Fakhriah, a Jakarta-based professional who graduated cumlaude from Padjadjaran University and has since carved a dual path in product & project management and data engineering. I thrive at the intersection of people, processes, and data — translating complex requirements into clear deliverables and actionable insights.
As a Product Owner and Project Manager, I've led cross-functional engineering teams across multiple time zones. As a Data Engineer student at Pacmann and a former Data Analyst through the GoTo impact program, I bring a growing technical toolkit to every project I touch.
Career journey
Experience
A track record of delivering outcomes across product management, project leadership, and data analytics.
- Leading product roadmap and backlog grooming for a growing e-learning platform.
- Translating user needs and business requirements into clear user stories and acceptance criteria.
- Collaborating with engineering, design, and content teams to deliver iterative product releases.
- Successfully delivered a client project on time, leading an engineering team of 4 people across 3 countries.
- Managed the engineering team's task execution based on client requirements using agile sprint methodology.
- Acted as the primary bridge between clients and the engineering team, translating business needs into technical deliverables.
- Completed a 6-month intensive Data Analytics program gaining proficiency in Python, SQL, Google BigQuery, and Looker.
- Developed skills in data cleaning, transformation, and exploratory analysis; applied ML techniques for predictive modeling.
- Final project: built a machine learning model predicting patient stroke risk with >90% accuracy, followed by visualization of key insights.
- Generated two qualified leads and consistently met the company's KPIs.
- Sourced prospective leads, coordinated with the marketing division, evaluated client needs, and scheduled meetings with potential clients.
- Prepared daily and weekly reports, tracking progress in spreadsheets.
Capabilities
Skills & Tools
Two complementary skill sets — one for leading teams, one for unlocking data.
Project & Product
Analytics & Engineering
Portfolio
Projects
A selection of data, analysis, and research work spanning multiple domains.
Country Clustering with Data Analytics
Grouped countries by socio-economic characteristics using data clustering techniques to support NGO decision-making.
High-Risk Loan Prediction
Built multiple ML models to predict non-performing loans and credit risk using real financial datasets.
Digital Library Database Design
Designed a complete e-library database system using Entity Relationship Diagrams and visual schema modeling.
Consumer Trends in Online Lending
Analyzed the surge of personal online loans among young Indonesian adults using public financial data.
FMCG Sales Reporting Dashboard
Designed an interactive sales reporting tool for a Fast-Moving Consumer Goods company using Power BI.
Stroke Risk Prediction (ML)
Trained and validated machine learning models predicting stroke probability, achieving >90% accuracy.
Herbicide Effectiveness Research
Published undergraduate research on glyphosate potassium efficacy in controlling weeds in productive tea plants.
Qualifications
Education & Certifications
Certifications
Get in touch
Let's Work Together
Whether you're looking for a Project Manager, a Product Owner, or someone who can bridge the gap between business and data — I'd love to connect.
Send me an email