Kurniawan Hakim work email
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Kurniawan Hakim personal email
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I am a professional who have passion in customer analytics and predictive modelling, with 16+ years of working experience, consist of 4+ years in data management consultancy, 2+ years in e-commerce industry, ~6 years in telco industry with specialty in customer and pricing analytics, and 4 years in banking industry with specialty in market risk management. Currently, i work for Merkle Indonesia, CXM service line of dentsu Indonesia. We empower the world’s leading brands to transform their data, technology, and organizational capabilities to deliver those differentiated customer experiences across marketing, sales, commerce, and service. I lead data solution team (data engineering, data analytics, data science), marketing technology team, and google analytics technology team at Merkle Indonesia.Prior to join Merkle, i worked for Salim Group EDTS, elevenia, Indosat Ooredoo, XL Axiata, BCA, and ANZ Bank.Experience with some SQL, data mining tools, statistical tools, and financial tools such as:- SQL : Teradata SQL Assistant, Oracle Developer, PL/SQL Developer, AWS Redshift, Google Big Query- Data Science : IBM SPSS Modeler, KXEN Infinite Insights, Aster Teradata, KNIME, Rapid Miner, R, AWS Sagemaker- BI & Visualization : Tableau, Microstrategy, Metabase, Looker, Google Data Studio- Statistical : IBM SPSS Statistics, Minitab, E-views, R- Financial : Reuters Kondor+, BloombergI have a Bachelor of Science Degree. Majoring in Statistics from Gadjah Mada University in Yogyakarta, Indonesia (www.ugm.ac.id)- Joined a summer school of Web Science and Data Analytics at National University of Singapore (www.nus.edu.sg)- Joined a short course for tech enabled startup at Queensland University of Technology Australia (www.qut.edu.au)- Hold a Diploma Certification of KXEN tools, Tableau Desktop Specialist Certification and Risk Management Certification (Level 2 BSMR)
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Vp - Data And CrmMerkle IndonesiaJakarta, Indonesia
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Vp - Data And AnalyticsMerkle Indonesia Jun 2022 - PresentJakarta, IndonesiaUnder CXM service line of dentsu Indonesia Group, the main responsibilities are : • Managing and leading of three divisions of project delivery: Analytics tech, Data Solutions, and Technical -Analytics tech: implementation of analytics measurement platform such as Google Analytics, Content Square, and marketing automation tools Sales Force Marketing Cloud -Data Solutions: implementation of data management, customer data platform (CDP), data engineering, business intelligence, data analysis, and data science -Technical: supporting unit for analytics tech and data solutions implementation and troubleshooting, consist of full stack developer, and UI UX designer. Technical team also implement the A/B testing platform• Conduct planning and data strategy to support client’s business growth• Ensure the quality, the effectiveness, the efficiency, and the punctuality of theproject delivery• Proactive to create a new initiative and R&D on the products and services ofdata and analytics related• Financial planning, resource analysis, and business impact of the existing andupcoming project• Vendor management and partnership with Google Cloud, AWS, andother partner and third parties• Alliance management with Merkle APAC, Europe, US, and other regions• Talent management of acquisition, onboarding, skill development, andretention -
Vp - Data Science And AnalyticsSg-Edts Aug 2019 - Jun 2022Greater Jakarta Area, IndonesiaUnder Data Management Group, the main responsibilities are :• Examine client's existing data usage and Identify further data needs or requirements • Provide analytics strategy to grow the business• Lead an end to end analytical process : - understanding the business and its problems - data collection, quality, and validation - data analysis and visualization - data presentation and recommendation• Produce and maintain a timely and high quality data science and analytics outcome • Establish research and development to extend data science and analytics service range • Build and maintain a relationship with the client• Manage and develop the team and client's capabilities in data science and analytics : - descriptive and diagnostic analytics - predictive and prescriptive analytics - computer vision and internet of things (IoT)Project• 2022 - In house development of product recommendation engine• 2022 - In house development of smart supply chain IoT• 2021 - In house development of smart farming IoT• 2020 – In house development of people traffic recognition model• 2020 – In house development of face recognition model• 2020 – In house development of license plate recognition model• 2020 - In house development of sentiment analytics model• 2019 – In house development of CVM propensity model -
Gm - Head Of AnalyticsElevenia Feb 2017 - Jul 2019Greater Jakarta Area, IndonesiaUnder Data Management Division, the main responsibilities are : • Develop strategy in acquiring, nurturing & retention customer by understanding customer behavior• Develop customer and seller campaign segmentation • Provide analytical recommendation in improving user experience • Able to use analytics to drive key success metrics related to revenue generation, yield improvement, customer satisfaction • Develop team’s capabilities in data and advanced analytics (e.g. descriptive analysis, predictive analytics, propensity model, machine learning, prescriptive analytics)• Establish a regular business insights and customer behavior analysis to senior management and business usersProject• 2019 – Image recognition for search and upload product• 2018 – In house product recommendation engine on the product and homepage• 2017 – In house predictive model development for Customer Lifecycle Management -
Manager - Cvm Analytics And ModellingIndosat Ooredoo Jan 2015 - Jan 2017Greater Jakarta Area, IndonesiaUnder Customer Value Management (CVM) Group, the main responsibilities are : - Provide and maintain datamart and other analytical information to CVM team- Update, enrich, and maintain CVM database- Optimize, automate, and enhance regular and ad hoc processes in CVM database- Conduct advanced analytics activities such as segmentation & statistical modeling- Pro-actively provide actionable insights to CVM team- Understand customer behavior, usage and social network and spending habit - Establish regular customer profiling analysis to be circulated on monthly basis to senior management team- Build, develop, and evaluate predictive model for cross sell, upsell, win-back, and retention to support CVM campaigns and operationProject ▪ 2016 – CVM Database Migration and Datamart Automation with IBM▪ 2016 – Real-time Marketing Implementation with Knowesis▪ 2016 – CVM Data Structure and Advanced Analytics Project with McKinsey▪ 2015 - Big Data/Hadoop development project with Cloudera▪ 2015 - CVM Diagnostics analysis with McKinsey -
Sr. Analyst – Data Mining And ModellingPt. Xl Axiata Tbk Sep 2014 - Dec 2014Greater Jakarta Area, Indonesia▪ Develop propensity, forecasting, segmentation models and ad-hoc complex analysis to support acquisition, service adoption, stimulation and retention activities and provide insights using SAP Infinite Insight platform (formerly KXEN)▪ Design, develop and put to production of the scoring and reports across Teradata and Tableau platforms▪ Develop new solutions (data-mart, analytical, process or related solutions) to expand the depth and breadth of analytics▪ Produce churn and retention campaign measurement report and funnel analysis▪ Leverage big data and social network capabilities along with understanding of market to enrich quality of Insights▪ Produce business and customer insight to overcome management question over subscriber and revenue growth and associated customer behaviorProject ▪ 2014 – Implement retail analytics using K-means clustering▪ 2014 – Smartphone churn analysis, root cause and solution with BCG -
Sr. Analyst – Pricing AnalyticsPt. Xl Axiata Tbk Sep 2012 - Aug 2014Greater Jakarta Area, Indonesia▪ End to end pre-assessment of new price plan, pricing optimization, stimulation, and new packet ▪ Develop pricing model and calculate the projected revenue, cannibalization, and opportunity loss▪ Identify risk and yield of new product launch and existing product optimization▪ Identify customer behaviour and extract underlying assumption of pricing model from database▪ Profitability and cost analysis of the price plan, voice/SMS/data packet, VAS, and new business▪ Develop competitor’s product modelling and tariff simulations▪ Coordinate with business owner (segment management, portfolio management, customer lifecycle and value management, VAS, and new business), and partner (service Experience, market Insight and legal team) to have proper process of assessment▪ Develop, automate, and evaluate the pricing new default model, pricing optimization model and price sensitivity model▪ Perform customer behavior analytics and data miningProject ▪ 2013 – Pricing Tools implementation with BCG
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Analyst – Core Analytics And Data ModellingPt. Xl Axiata Tbk May 2011 - Aug 2012Greater Jakarta Area, Indonesia▪ Develop and produce structural revenue report for weekly BOD meeting▪ Develop and produce report of regional and POC (city) level performance▪ Pre-assessment of new price plan, pricing optimization, stimulation, and new packet creation▪ Profitability analysis and performance evaluation of the price plan▪ Support CLM Analytics team to build propensity and churn retention model using KXEN platform▪ Develop time series models to forecast the revenue of the company using KXEN platform
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Market Risk AnalystPt Bank Central Asia Tbk Oct 2007 - Apr 2011Greater Jakarta Area, Indonesia- Market risk daily analysis and reporting- Market risk limit monitoring- Revaluation and mark to market using front office system kondor+- Stress testing analysis for bank's portfolio- Back testing analysis for VaR model validation- Volatility analysis and reporting- Develop market risk modelling and measurementProject:- Market risk practice project with Octagon advisor,Singapore- Market risk method validation with Octagon advisor, Singapore- Treasury F2B Front to back upgrade project with Thomson Reuters- Market risk system upgrade with Thomson Reuters -
Internal ReliefAnz Jul 2007 - Sep 2007JakartaSupport sales centre unit to improve the quality of calling management and observe the effectiveness of the calling process
Kurniawan Hakim Skills
Kurniawan Hakim Education Details
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Statistics -
Business Administration And Management, General -
Web Science And Data Analytics -
International Business Readiness For Tech Enabled Startups
Frequently Asked Questions about Kurniawan Hakim
What company does Kurniawan Hakim work for?
Kurniawan Hakim works for Merkle Indonesia
What is Kurniawan Hakim's role at the current company?
Kurniawan Hakim's current role is VP - Data and CRM.
What is Kurniawan Hakim's email address?
Kurniawan Hakim's email address is ku****@****hoo.com
What schools did Kurniawan Hakim attend?
Kurniawan Hakim attended Universitas Gadjah Mada (Ugm), Cquniversity, National University Of Singapore, Qut (Queensland University Of Technology).
What are some of Kurniawan Hakim's interests?
Kurniawan Hakim has interest in Football, English, Aviation/airlines, Game.
What skills is Kurniawan Hakim known for?
Kurniawan Hakim has skills like Customer Analytics, Customer Insight, Statistical Modeling, Market Risk, Financial Risk, Fx Options, Var, Bloomberg, Risk Management, Stress Testing, Treasury, Treasury Management.
Who are Kurniawan Hakim's colleagues?
Kurniawan Hakim's colleagues are Ayse Karaca, Bridgette Nickoles, Wei Shao, Danielle Witting, Mahesh Chavan, Sejal Shedge, Hoa Nguyen.
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Kurniawan Al-Hakim
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Kurniawan Hakim
Karawang Regency
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