Nizam Noorberi

Senior Associate, Data Science at AIA Malaysia
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Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia, MY

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Experience

    • Malaysia
    • Insurance
    • 700 & Above Employee
    • Senior Associate, Data Science
      • Sep 2021 - Present

      - Developed machine learning models (such as LightGBM + tuning) for AIA Distribution Channels (agency, agents and customer data related) - Successfully developed, enhanced and deployed propensity models for AIA on the shelf products, integrates with the agency applications which helps to increase the agent productivity. - Successfully developed multinomial product recommendations for customers which helps the life planners to precisely approach customers with more appropriate recommended products. - Developed a machine learning model to identify high potential agents that would be successful based on the agents' past 2 years data which helps the agency to prioritize resources and manpower. Show less

    • Singapore
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Consultant, Data Science
      • Jan 2021 - Aug 2021

      - Attached to MIMOS as Consultant to Data Science and Data Analytics projects mainly using H2O Driverless AI (DAI) platform, an Auto-ML tool. - Independently developed sales forecast machine learning models using ARIMA, SARIMA, SARIMAX, ETS, FbProphet and H2O DAI for a Malaysian SME company to enable owner for future sales and stock takes planning. - Design and develop Exploratory Data Analysis report for univariate (distribution, stationarity) and multivariate (correlation) timeseries data. - Prepared an automated workflow for data preprocessing and cleaning (missing values imputating, outliers detection and treatment) using Python scripts and Object-Oriented Programming (OOP). - Gathered business and functional requirements for the sales forecast model building from business owner through frequent discussions. - Successfully deployed machine learning models by packaging Python codes and developed API call to a Postgres SQL database. - Develop descriptive analytics dashboard for National CITF-COVID-19 Immunisation Program using Apache Superset tool. - Main focal for analytics team in any on-going projects in MIMOS under Accelerative Technology Lab (ATL). Show less

    • Malaysia
    • Information Technology & Services
    • 700 & Above Employee
    • Executive, Data Science
      • Jan 2019 - Jan 2021

      - Successfully performed extensive Exploratory Data Analysis (EDA) on 2 oil fields in offshore Sabah to gain overview a of distributions and patterns of well tests parameters (well pressure) - Successfully developed multiple machine learning models on sand prediction for each geological structure, well names and well clusters. - Created a pipeline to automate the Sand-Advisor analysis using Python Programming Language, incorporating Azure DevOps to ensure continuous delivery of tasks. - Mentored a team of 2 chemical engineers from PETRONAS Penapisan (Terengganu) Sdn Bhd (PPTSB) using Microsoft Power BI and Azure Machine Learning Studio to deliver analytics use case. -Led a team to develop Decision Tree classification machine learning model to predict Liquified Petroleum Gas (LPG) quality of Condensate Fractionation Unit (CFU) rundown. -Delivered a mini lecture on Decision Tree and Random Forest for Classification use cases to 120 Data Scientists. Show less

    • Malaysia
    • Higher Education
    • 700 & Above Employee
    • Final Year Student
      • Sep 2017 - May 2018

      FINAL YEAR PROJECT Title : Application of Waxman-Smits Water Saturation Model in Unconventional Gas Reservoirs Achievement : Conducted an interpretation on Eagle Ford Shale Gas basin to observe the application of Waxman-Smits Model to determine water saturation in both conventional and unconventional play. Juhasz Method is used to calculate the water saturation in Eagle Ford basins with the absence of core data. FIELD DEVELOPMENT PROJECT Position : Head of Petrophysics and Drilling Team Achievement : 1. Led the team to interpret potential hydrocarbon in-place in Gelama Utara Field by using various methods. The most reasonable value were chosen and discussed thoroughly to come out with the best results of interpretation. 2. Helped the team with drilling trajectories and target by using Compass Software by Landmark. The optimum drilling platform was decided and placed in order to cater for the most economical means of drilling operation. Show less

    • Turkmenistan
    • Oil and Gas
    • 1 - 100 Employee
    • Petrophysicists (Reservoir Evaluation Section) Trainee
      • Jan 2017 - Aug 2017

      1. Involved in daily operational meetings – representative as logging team. 2. Developed an excel sheet for Pressure Test Characterization and Quality Check for Petrophysics Department. 3. Attended Mexico operations in Well Bidding for Hydrocarbon Resource Assessment (HRA). 4. Organized Fluid Contact Scenarios for Petrophysics Improvement Plans. 5. Awarded “Focused Recognition” card by Petrophysics Department for demonstrating focused execution in preparing First Aid Kit Inventory Checklist. 6. Performed Hydrocarbon Resources Assessment (HRA) from Petrophysical workscope on field in Sabah offshore. Show less

Education

  • Universiti Teknologi PETRONAS
    Bachelor's Degree in Petroleum Engineering, Petroleum Engineering (Production Technologist)
    2013 - 2018
  • SMK Bandar Baru Bangi
    Malaysian Certificate of Education (SPM), Sciences Stream
    2008 - 2012

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