Link Search Menu Expand Document
Personal Projects

Hi, I’m Iman!

drawing

About Me

I am a Data Scientist with more than six years of experience designing, building, and optimizing AI-driven and data-centric solutions that address complex business challenges. Skilled in leading data-driven strategies, collaborating with cross-functional teams, and independently executing complex projects. My background spans the full data value chain, including data engineering, analytics, predictive machine learning, and AI development, data strategy, enabling deliver end-to-end, insight-driven systems.

Proven track record leading digital transformation initiatives, enhancing operational workflows, and setting team goals, assigning and reviewing work, and providing coaching and development. I work effectively across cross-functional teams and independently, consistently driving measurable outcomes through scalable data architectures and advanced machine learning solutions. My work supports data-driven decision-making and delivers tangible business value across diverse industries.

I have a well-rounded background across the full data value chain — from data engineering and analytics to predictive modeling and AI modeling — enabling me to build complete, insight-driven data systems. now advancing into data governance and strategic, generative AI and LLM applications for enterprise use.

Proficient in leveraging tools such as:

  • Data Engineering, Data pipelining and Data Streaming: SQL, Apache Airflow, Apache Spark, DBT, Apache Kafka.
  • Data management: DataHub, Dbeaver, DVC, FastAPI.
  • Database and Warehousing: SQL Server, PostgreSQL-PostGIS, BigQuery, MySQL, Trino, Clickhouse, Minio, DuckDB, MongoDB, hadoop-HDFS, Hive and Supabase.
  • Data Analytics and Visualization: Metabase, Power BI, Google Cloud Platform (GCP), Looker, Streamlit, Apache Superset, and Tableau.
  • CI/CD: Git, Docker-Container, prometheus, Grafana.
  • Machine Learning and AI: Python, TensorFlow, Pytorch, scikit-learn, OpenCV, YOLO, Python Libraries, Azure AI Solution, and Data Science Deployment Framework.
  • Computer Vision: Custom scripts, TensorFlow, Pytorch, OpenCV, YOLO, U-net, SAMLoRA.
  • GIS Tools: ArcGIS Pro, ArcGIS Enterprise, ArcGIS Deep Learning Frameworks, ArcGIS for Python, and Data Science Deployment framework.
  • Web: HTML, PHP, Just the Docs - Ruby, MkDocs - Python, and Github Actions.
  • Other Tools: Google sheet, Microsoft Office, Confluence, and Jira.

My expertise spans:

  • Descriptive and Diagnostic statistics
  • Predictive and Prescriptive Model
  • Supervised and Unsupervised Machine Learning and Deep Learning Models
  • Data Scraping
  • Scoring Systems
  • Computer Vision
  • Forecasting
  • Scoring Recommendation
  • Simulation
  • Geospatial Modeling
  • Advanced ArcGIS Pro and ArcGIS Enterprise for Deep Learning
  • Supply Chain Optimization
  • Code and Data Governance

Experience

  • ESRI Indonesia
    • Location: Jakarta - Indonesia
    • Role: Data Scientist
    • Time: 04/2025 - present
    • Responsibility:
      • Acted as a data consultant: assisted various clients and stakeholders to understanding, translating, gain business requirements and strategies for data-driven decision-making initiatives.
      • ETL & pipelines development: Designed, built, and optimized ETL workflows and scalable data pipelines, including data modeling, transformation, and large-scale analytics.
      • Developed and implemented data strategies, analytical frameworks, and end-to-end Data Science and GeoAI project workflows.
      • Designed and optimized geospatial data processing, spatial analytics, and GeoAI pipelines.
    • Led multiple key initiatives, including:
      • Code and Data Governance (internal project): Initiated well-defined, governed, reproducible and standardized Python-based workflows and established unified GeoAI processes across the full data lifecycle by automation process; reduced project development time by more than 30%; and ensured all codebases were standardized, scalable, and production-ready.
      • GeoAI - Object detection: Delivered a technical workshop and improved palm detection accuracy from 70% to 90% in dense canopy areas using ArcGIS Pro Deep Learning.
      • GeoAI - Change Detection: Increased model accuracy to 90% and reduced asset management costs by around 30%.
        • Developed a standardized orthophoto data assessment framework to support GeoAI production.
        • Built GeoAI models for land-cover segmentation and encroachment detection within critical asset zones.
      • Data Services: Initiated data management, data governance and data quality frameworks; achieving 100% data quality and full data-privacy compliance.
        • Designed robust data pipelines and data management structures to support enterprise-scale operations.
        • Implemented data governance and privacy standards, ensuring consistent compliance across internal platforms.
        • Developed and launched a Data Service module integrated with internal tools to enable advanced spatial analytics.
  • EFishery
    • Location: Bandung - Indonesia
    • Role: Data Scientist
    • Time: 08/2021 - 03/2025
    • Responsibility:
      • Acted as a data consultant: assisted various stakeholders to understanding, translating, gain business requirements and strategies for data-driven decision-making initiatives.
      • Extracted actionable insights: from vast datasets by defining, prototyping, and implementing machine learning models.
      • ETL & pipelines development: Designed, built, and optimized ETL workflows and scalable data pipelines, including data modeling, transformation, and large-scale analytics.
      • Data management and data governance: Responsible for ensuring the data from different sources is integrated and standardized, and cleansed from across end-to-end workflows
      • Business intelligence and reporting: Developed dashboards to monitor business KPIs and deliver critical insights.
      • Develop and implement data strategies, Design and conduct data analysis, data scientist and AI projects.
      • Collaboration: worked with data analyst, data scientist, business teams, and other stakeholders to execute ad-hoc business analysis projects.
      • Several projects, including, but not limited to:
        • Product metrics: Designed and implemented advanced analytics models (e.g., CLTV, churn analysis, RFM, cohort, retention, segmentation) to drive customer insights and strategic decision-making.
        • Geospatial Analysis Models for Logistics Optimization: Conducted coverage area analysis and provided actionable intelligence for optimal warehouse location planning. Applied optimization algorithms such as Traveling Salesman Problem (TSP) and Vehicle Routing Problem (VRP) for efficient distribution and supply chain planning. Satellite imaging process for object location detection.
        • Harvest prediction model: Integrated potential supply forecasting, generating a projected additional revenue of Rp 5.2 billion per month. -** Matchmaking Recommendation System**: Co-developed a recommendation engine with PM, connecting upstream and downstream operations to optimize supply selection and streamline order processing. IoT-Driven Predictive Maintenance and Customer / cultivation behavior from feeder system
        • Data Scraping for Market Insights: Automated the collection of external data to generate insights and identify potential leads for business expansion.
        • Scoring Systems: Developed scoring models for fraud detection, credit risk assessment, feature importance analysis, and text analysis for Root Cause Analysis for Risk Management.
        • Supply & Demand Forecasting: Created predictive models to improve supply chain efficiency and revenue generation through data-driven fulfillment.
  • UNPAD, BUNIS, Startup Campus, and MyEduSolve
    • Location: Jakarta - Indonesia
    • Role: Guest Lecturer Data Science and AI
    • Time: 08/2023 - 08/2025
    • Responsibility:
      • Data Science and Artificial Intelligence Mentor for MSIB Batch 5 and 6 by Kemendikbudristek in PT. Kampus Merdeka Belajar and MyeduSolve.
      • Guest Lecturer and Mentor at ekonomi terapan magister class and economics and business enrichment bachelor class at Padjadjaran University and Binus University.
  • Bobobox
    • Location: Bandung - Indonesia
    • Role: Data Scientist
    • Time: 11/2020 - 08/2021
    • Responsibility:
      • Acted as a data consultant: assisted various business units as partners to gain business requirements and needs to plan and strategies data-driven decision projects.
      • Analyze large amounts of raw information to find patterns, defining, prototyping and implementing data science models using machine learning techniques.
      • ETL & pipelines development: explore, clean, transform, and analyze large databases using SQL and Python to create efficient process and data pipelines.
      • Work closely with BE within the technical in attempt to gather and populate data warehouse table structure.
      • Work closely with internal stakeholders within the business in attempt to gather requirements and initial insights to apply data-driven decision making.
      • Business intelligence and reporting: created analytics dashboards and reports.
      • Collaboration: worked with software engineer, business operation teams, and other stakeholders to execute ad-hoc business analysis projects.
      • Several projects, including, but not limited to:
        • RFM and Segmentation (user, location etc.)
        • Cohort and retention analysis
        • IoT-Driven Predictive Maintenance and IoT-Driven Customer behavior from Capsule hotel system.
  • FINEOZ
    • Location: Jakarta - Indonesia
    • Role: Guest Lecturer Data Science and AI
    • Time: 01/2020 - 11/2020
    • Responsibility:
      • Acted as a data consultant: assisted various business units as partners to gain business requirements and needs to plan and strategies data-driven decision projects.
      • Analyze large amounts of raw information to find patterns, defining, prototyping and implementing data science models using machine learning techniques.
      • ETL & pipelines development: explore, clean, transform, and analyze large databases using SQL and Python to create efficient process and data pipelines.
      • Work closely with BE within the technical in attempt to gather and populate data warehouse table structure and developing the APIs.
      • Business intelligence and reporting: created analytics dashboards and reports.

Education

  • Master of science - Computational science, Institut Teknologi Bandung (ITB). 2018-2019. Title of thesis: Detection and Classification of Objects in Astronomy Images Using Image Processing and Machine Learning.

  • Bachelor of science - Astronomy, Institut Teknologi Bandung (ITB). 2012-2016. Title of thesis: NEO-R1000: A Fast And Efficient Compact Spectrograph For Emission Line Objects Study At Bosscha Observatory.

  • National Astronomical Observatory of Japan, Tokyo, Japan. Sokendai Asian Winter School, Astronomy, 2020 - 2020.
  • Kyoto Sangyo University, Kyoto, Japan. Research Student, Astronomy, 2014 - 2014.

Licenses & certifications

Reach Me