Supervised data science as well as software development projects, did business development activities, helped make IP, managed performance of people, recruited people
Detail>
Project supervision: Made proposal to an automotive, got contract, and structured project org
Helped resolve project issues found in automotive projects
Survival analysis
Business development: Spoke in big marketing event (500 participants) and wrote in publications
Performance management: Set annual goals of direct-reports according to skills / aspirations
Senior manager
SAS Institute Japan
11.2012 - 07.2016
Of solution consulting
Did business development of text mining
Articulated text mining value proposition, partnered with SI-vendors, developed demo, helped account executives sell and spoke in large marketing events
Articulated project plan, project long term roadmap, and future architecture
Discussed business analytics issues and identified opportunities
Built, managed, and executed analytics project
Projects>
Automotive: Quality assurance AI process (Text mining & risk predictive analytics)
Provided consultation to CxO and articulated long-term business roadmap / IT architecture
CRM analytics consulting that ranges from customer understanding (life-time value and propensity to buy) and response modelling, to strategic engagement such as wallet share growth contributed to customer success as well as IBM software licence revenue
Acted as an evangelist of the social analytics advanced tool, and experienced 21 projects
Foreign life insurer: Strategic planning activities (next-gen digital architecture)
Premier airlines: Planning activity of next-gen data science, BI, CRM and SOA
Foreign non-life insurer: provided consultation to CxO in terms of their digital strategy
Managing consultant
Consulting
05.2009 - 07.2010
BAO
Delivered consulting services of strategic use of customer-owned data
Practice areas were: CRM, database management, data mining, text mining, business intelligence, managerial accounting, web analytics, optimization and social analytics
Projects>
Auto: Marketing datawarehouse and portal
Consumer electronics: Social analytics project
Cosmetics: Managerial accounting, KPI, business intelligence
Manager & Managing
IBM
09.2000 - 04.2009
Of, marketing science practice
People-managed 2 regular employees and about 20 contractors across Asia Pacific
Supervised Asia-Pacific wide project to reallocate SMB sales force
Conducted statistical modelling of logistic regression/ regression and data mining
Evangelized business analytics
Used Siebel CRM, DB2, DWH, SAS Analytics, SPSS, etc
Project manager of Asia
SAP
07.1995 - 08.2000
Pacific fulfilment
Proprietary CRM package solution:
Project-managed development activities of Asia-version of US-origin CRM package solution, :
Project-managed SAP project that brought legacy Japan fulfilment customer master into SAP, and synchronized them
Well-managed and well-communicated with overseas development teams
System engineer & project manager of SMB
04.1987 - 06.1995
Undertook as system engineer and project manager those projects such as manufacturing system, CRM system, office systems
IBM
01.2003
Pacific award
Domain of expertise / Experience
Business development & Pre-sales
Made AI/Data Science consulting proposals to large enterprises (Automotive, electronics, telco, etc)
Done pre-sales activities in manufacturing, distribution, pharmaceutical, and media industries
Business development activities of Text Analytics in Japan market
Pre-sales activities as managing consultant of information agenda (BI/BA, DWH, MDM, CRM, etc.)
Spoke in many external seminar events
Data Science/Business Intelligence/DWH/Data management
Conducted business consulting of analytics-driven strategy making as well as leveraged analytics tools such as SAS, Python, R and SPSS
Insurance: Call center text analytics and cross-sell predictive model
Automotive predictive maintenance
Survival analysis
Customer models such as cosine similarity, customer purchase propensity, and response model
Made machine learning models (incl
Neural network) with Python/scikit-learn, R and SAS/SPSS
Profit simulation, BI managerial accounting
Text analytics, social analytics, web analytics
Analytics consulting in industries such as manufacturing, apparel, E commerce, and pharmaceutical
Experienced in building large scale DWH (Mostly DB2, SQL server too.)
Conducted IT consulting of master data management as well as BI solution IT (Cognos, SCM BI, etc.)
Industry domain knowledge
‐ Insurance: Experience of conducting internal projects in insurance company
‐ Automotive: Experience of conducting IoT projects for automotives as vendor-side data scientists
‐ Electronics: Experience of conducting forecasting, BI, and text analytics projects for electronics
CRM
Delivered CRM consulting services to insurance, automotive, airlines, and ad agencies
Managed CRM system development project (led Japan team and teamed with US/EU teams)
Deployed APAC-wide relationship management practice originated in IBM US
Delivered IT consulting to implement CRM solutions (Siebel, MSM, and Sales Force)
Delivered CRM analytics services
People Management / Project Management
‐ Now managing 2 teams (data science, data analysts) in MetLife Japan (7 regular employees)
‐ Managed 3 teams (data science, software development and BI) in Teradata (16 regular employees)
‐ Managed geography dispersed APAC team (2 regular and 20 contractors, 2 years) in IBM
‐ Project-managed external client projects of analytics and CRM (over 10 years) and internal projects
Career
Director of data
MetLife
01.2020
Science
Conduct and manage data science projects, and engage with insurance internal clients
Plan, organize, lead and supervise data science projects
Interview data scientist candidates
Projects>
Text analytics: Call center text log analytics: Morphological analysis, term weight /TF-IDF, word embedding, singular vector decomposition, text clustering, word2vec, Latent Dirichlet Allocation, text classification with logistic regression, SVM, neural networks (tensor-flow), etc
Used Python / Janome on Jupyter notebook IDE
Cross-sell predictive model: Insurance cross-purchase prediction of existing policyholders with light-GBM, logistic regression, random forest, etc
Supervised the team project for sales channels
Exploratory data analysis: Initial data analysis of existing policyholders in a category
Used SAS programming to process large data volumes, visualized using seaborn/excel, made power-point slides, and presented to insurance internal stakeholders.
Education
s University (Bachelor - law
St. Paul
01.1965 - 02.2022
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Takaharu TSUDA
Ph.D. - Management and information science
Tama University
Master’s degree - economics
Temple University
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Certification
TOEIC 945) Native in Japanese
Additional Information
Awards: , 1993 IBM Most excellent award
1995 IBM Most excellent award
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