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Director of data science

Location:
San Francisco, CA
Posted:
May 10, 2022

Contact this candidate

Original resume on Jobvertise

Resume:

Koyuki Nakamori

#***-*** ******* ** *** Francisco CA US 94105

415-***-****

knakamor@gmail .com

PROFESSIONAL PROFILE

Summary:

Strong academic record, in Applied Mathematics(BS), Computer Science, Operations

Research (MS), Statistics or other quantitative fields

9 years of experience in a corporate, start-up, or research environment

Solid understanding of a wide range of open source data mining / machine learning

software packages

Proven skills in big data techniques including Hadoop, MapReduce, Pig, Hive, Hue,

Spark, R, Shiny, Python, Pyspark, SQL, NonSQL, MongoDB, Ruby, Redshift, Docker

Advanced knowledge in SSAS, SSRS, SSIS, SAS, SPSS, Tableau, Crystal Report, Cognos,

VBA, .NET, C#, PHP, Java, Nodejs, Sybase, HTML, QlikView, Adobe analytics,

databricks, qubole, Oozie

Strong interpersonal and leadership skills with extensive experience in end to end

client project management

Chartered Professional Accountant (CPA) candidate

MBA/Master of Management in Operations Research, Sauder School of Business,

the University of British Columbia

Bachelor of Science in Applied Mathematics, Simon Fraser University

Fluent in Mandarin, Japanese

PROFESSIONAL EXPERIENCE

Globant, San Francisco

Director of Data Science

Sep 2016 Current

Oversee data scientists, providing technical oversight and mentoring

Help recruit for, and grow current team

Collaborate with company leadership to define and prioritize the development of data-

centric features and products

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Work closely with the larger engineering team to provide production ready systems

Klarity

Director of Product Development (Remote)

Apr 2016 Current

Validate ideas by performing experiments and analyzing the results

Make data-driven decisions

Define product goals and metrics

Demonstrate leadership and gain respect across functions/teams

Nexx Consulting, Toronto

Senior Job Manager

February 2016 Current

Lead NLP/ML algorithm development in python, spark, and R

Develop algorithms for data extraction, linguistics and market analytics

Represent the research team in top level strategic decision making

LoyaltyOne, Toronto

Manager, Analytics and Insights

October 2015 January 2016

Solve analytical problems using quantitative approaches using machine learning

methods, advanced statistical methods, information retrieval, data mining

techniques

Lead all stages of model development from data collection, model building, model

validation, testing and calibration

Mine large multi-disciplinary datasets to gain deep business knowledge and insights

of embedded relationships and behaviors

Lead, coach, develop and retain a team of data scientists

Interact with upper management on client side

Coach the team to integrate customer insights to business decision

Lead to work collaboratively with key internal business partners

Questrade, Toronto

Marketing Technology CRM Manager

October 2014 October 2015

Lead organizational use of CRM, advanced analytics and decision science to in

support of marketing and sales to drive client acquisition, retention, and organic

growth

Manage end-to-end execution of CRM programs, from identification and

requirements gathering through to implementation and reporting

Manage planning and execution of all CRM campaigns

Oversee sourcing, summarizing, and analyzing pertinent data from multiple data

sources

Manage cross functional programs and campaign analysis, and quarterly forecasting

Koyuki Nakamori 415-***-**** acyre0@r.postjobfree.com Page 3

CIBC, Toronto

Customer Marketing Consultant

October 2011 October 2014

Managing marketing analytics and reporting including pre and post campaign

analytics and insight generation using statistical analysis and data mining techniques

Customer Segmentation, identifying key customer segments using data mining

techniques and analyzing the customer base across all product lines and channels to

define varying segments including Market, Life Stage, Behavior. Lifetime Value and

Propensity Segmentation

Working with Reporting & Analytics, implement and manage customer data

infrastructure including customer data development and acquisition

Define, build and manage the customer information management resources and

supporting business processes required to sustain the banks customer data needs

Coordinate with business stakeholders and participate in requirements gathering

and reviews sessions for determining data needs in support of customer analytics

Identify and investigate any data anomalies and provide recommendations for

addressing same

Manage User Acceptance Testing for any solutions in support of data for customer

insights including UAT test case development and execution

Present insights and recommendations that drive business results

Financial engineering-simulations/partial deferential equations

Itron Inc, Vancouver

Project Analyst

2011

Create and maintained database queries for ad-hoc reporting metrics

Participated and provided feedback to development teams

Audit deliverable reports for installation and network performance

Liaise with customers and project managers to ensure project deliverables,

deadlines, and deployment metrics

Strategic Distribution Canada, Vancouver

Improvement Manager

2010

Work on client site to manage maintenance, repair and operations supplies for the

facility, including sourcing, procurement, receiving, stocking, issuing, and inventory

management

Liaise a large scale, complex inventory transformation project to automate the

tracking of the inventory in a union environment at the Molson Vancouver plant

valued at over $1.5M.

Design automatic low stock detection and replenishment system for over 7,000

parts.

Work closely with clients to defined project scope, project plan and budget.

Vancouver Coastal Health, Vancouver

Koyuki Nakamori 415-***-**** acyre0@r.postjobfree.com Page 4

Project Analyst

2009

Streamline process flows in iCARE project

Identified business requirements, KPIs in support of optimization modeling

Perform data gathering, cleansing, analysis, validation with various statistical

methodologies and tools

Manage project progress liaising with clients, PMs and analysts

Reported and delivered presentations

Perform ad-hoc analysis and troubleshooting of the various systems

University of British Columbia, Vancouver

Project Analyst

2009

Define project scope, project plan and budget

Perform data collection and analysis to streamline models and process

Create algorithms to optimize utilization leading to cost reduction

Interpret and presented analytical results, providing recommendations and action

plans

Manage project progress to maintain resources, priorities and high quality standards

of deliverables

EDUCATION

Sauder School of Business, University of British Columbia

Master of Management in Operations Research

2007-2008

Simon Fraser University

BSc (Hons), Applied Mathematics

2004-2007

REFERENCES

References are available upon request.



Contact this candidate