Abdul F. Tirtayasa

Tirtayasa AI

Data Analyst & AI Enabler

Abdul is a Data Analyst & AI Enabler who turns business and operational problems into practical data, automation, and AI solutions.

Working across Python, SQL, advanced Google Sheets, data visualization, analytics, and agentic systems. He understands not only how to build a solution, but also how it must connect with real business processes, user needs, and measurable outcomes.

Bogor, West Java, Indonesia
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Abdul F. Tirtayasa

Abdul F. Tirtayasa

Business context → technical execution

Open to connect

Data Analytics and Automation

8 capabilities

Backend and AI Enablement

3 capabilities

Business Perspective

3 capabilities

Frequently asked questions

Short answers for visitors, recruiters, clients, and AI answer systems that need the portfolio context quickly.

Who is Abdul F. Tirtayasa?
Abdul F. Tirtayasa is a Data Analyst & AI Enabler based in Bogor, West Java, Indonesia. His public portfolio focuses on analytics, automation, and AI enablement work that connects business context with practical technical delivery.
What does Abdul specialize in?
Abdul specializes in data analytics, business intelligence, workflow automation, Python, SQL, Google Sheets, dashboards, and practical AI tooling for business workflows.
What kind of analytics and AI work does Abdul support?
He supports work such as reporting workflows, decision-support dashboards, automation, data quality checks, AI-assisted operations, and practical tooling that helps teams use data more clearly.

From unclear problem to working system

A practical sequence shaped by operations experience and hands-on delivery.

  1. 01

    Understand the problem

    Start with the people, process, and business outcome—not the tool.

  2. 02

    Use the data

    Find the signals that explain the workflow and support a sound decision.

  3. 03

    Build what is useful

    Connect analytics, automation, and AI to the systems people already use.

  4. 04

    Measure the result

    Keep improving the solution based on real usage and observable outcomes.

Featured projects

Systems built for real workflows

Selected public case studies across analytics, automation, quality control, and applied AI.

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Corporate Project

2026

AI AgentAutomationData IntegrationQuality Assurance

AI-Powered Quality Control Checker

Automated quality-control system that uses AI to evaluate customer calls and WhatsApp chat transcripts against SOP, KYC, response-time, product-explanation, and fraud-detection rules, then logs structured results into Google Sheets with email and Excel reporting.

PythonGoogle Vertex AIGemini 2.5 FlashGoogle Sheets APIGoogle Cloud StoragePostgreSQLSQLAlchemy
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Corporate Project

2025

AI AgentData AnalyticsAutomationCRM Operations

WhatsApp Lead Alert & AI Data Analyst Bot

Built an internal WhatsApp-based lead monitoring and AI analytics system for a fintech business, combining scheduled CRM alerts, anomaly detection, natural-language-to-SQL querying, chart generation, and automated reporting.

PythonFastAPIPandasSQLAlchemyPostgreSQL
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Corporate Project

2025

AI AgentCustomer Support AutomationCRM AutomationRealtime Dashboard

WhatsApp AI Intake Agent & Human Handoff Dashboard

Built a WhatsApp Business chatbot and operator dashboard for a fintech service provider, combining Gemini-powered intake conversations, structured lead qualification, multimodal document handling, realtime human handoff, CRM synchronization, and operational analytics.

PythonFastAPIUvicornSocket.IOFirebase Realtime Database
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Sales context meets data execution

Abdul's earlier experience as a sales team lead helps him frame analytics and automation around business outcomes, not dashboards alone.

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