Dan Bridgman's Standard Resume



Daniel BridgmanSydney, Australia 2217 – 04506-43183 – dan.bridgman83@ – in/dan-bridgman-55b8555b/ - Website: Github: Scientist | Consultant ProfileData Science Solution Delivery & Consulting - Advanced Data Modelling & Structuring - Project and Team ManagementData AnalyticsMachine LearningData Science Pipeline/Solution DesignData Science ConsultingManagement ConsultingNetwork AnalysisPublic speaking and thought leadershipPerformance OptimisationStrategic Planning & ExecutionApplication Lifecycle ManagementData Virtualisation & Cloud-ComputingTeam Training & LeadershipStakeholder EngagementDriven, curious and pragmatic Data Analytics/Science expert with over 3 years of experience in Data Science/Predictive modelling and 5+ years in Data Analytics. Combines 14+ years of Computer Science experience with effective consulting, leadership and project management skills. Thought leader and presenter in Sydney Data Science meetup ecosystem (Data Science breakfast meetup, Data for Democracy, Minerva Collective)Skilled in designing and optimising data and analytics products, identifying data sources, and designing/implementing relevant algorithms, data science solutions, and predictive analytical models using a variety of techniques and tools.Expert at leading successful data analytics projects end-to-end from initial client engagement/problem scoping to delivery into production and for use by the business.Professional and academic experience in statistical and hypothesis evaluation/testing, explorative data analysis, statistical modelling, machine learning, natural language processing, and advanced data visualisation.Excellent interpersonal and communication skills, along with proven ability to develop and strengthen long-term professional relationships with clients/staff. Ability to effectively convey technically dense material to a variety of audiences. DATA SCIENCE skill PROFICIENCIESLanguages/ Development Tools:Python, R, SQL, Jupyter, R Studio & R MarkdownAlgorithms/Areas: GLMs and Logistic Regression, random forests, decision trees, GBMs, SVMs, Neural Networks & Deep Learning architectures (GPU & non-GPU), image classification, forecasting, clustering, dimensionality reduction, sampling techniques, model evaluation/scoring, hypothesis testing and evaluation, statistical modelling and exploratory data analysis, network analysis, statistical evaluation of networks, graph theory.Libraries/Packages:Python - Sklearn, matplotlib, numpy, scipy, pandas, networkx, plotly, Tensorflow, torch, pytorch, skorch, CUDA, seaborn + too many to list!R – Caret, ROCR, tidyverse, xgboost, ggplot2, mice, model metrics + too many to list!Data Visualisation: Tableau, Power BI, Domo, QliksenseDeployment Tools:Flask, Anaconda (REST API)TECHNICAL PROFICIENCIESServers/Operating: Databases:Linux & Mac OSX, Windows Server 2000 - 2012SQL Server, (2000+) MySQL (5.1+), Postgres (8 +), MongoDB, CassandraTools:SQL, Hadoop & Spark, Qliksense, Tableau, Power BI, Domo, Alteryx, Amazon Redshift, Apache Hadoop & Google BigQueryCloud & Big Data Technologies:Amazon Web Services (RDS, Redshift, EC2, Data Pipeline, Kinesis, Dynamo DB etc), Microsoft Azure, Google Cloud Platform, Apache Spark/Spark SQLProfessional ExperienceDomo (CONSULTING - Contract) Martin Place, Sydney October 2018 to PresentSenior Business/Technical Consultant | Data Science October 2018 – Present (Contract)Senior Consultant specialising in Data Science for external client opportunities. Responsible for the effective delivery and consultancy of Domo best practices, metrics and visuals. Carried out an end-to-end data science engagement focused on better understanding the drivers of customer churn for a large insurance provider. A fully interpretable logistic regression model was built in R and was surfaced to the executives of the client with an estimated ROI of > $2-3 million per annumDeveloped, built and tested a prototype forecasting model (using ARIMA) for an entertainment industry to improve prediction accuracy of future sales expectationsDeveloped, built and tested out a market basket analysis prototype to better discern association of purchases for a global fast food chainActed as the in-house Data Scientist for all items Data Science with respect to pre-sales and post-sales client opportunitiesLed the successful delivery of Domo to real-estate Software company across 7 business units to rejuvenate existing management report and give departments insight and accountability of data each department uses saving > $200K labour per annumContributed to the successful delivery of 2 Pilots at enterprise scale Government client, using Domo to carry out a variety of data analytics and visualisation objectives around: Fraud & Corruption and Procurement.PWC AU (CONSULTING) Barangaroo, Sydney Apr 2016 to October 2018Senior Manager (Health Analytics), May 2018 to September 2019Managed the technical components of a multi-million enterprise scale health data interchange for external clients in NSW and Australia. Ensured effective utilisation of advanced forms of analytics across the Consulting teams, including natural language processing, clustering, machine learning, and advanced data visualisation for client business development and proposal writing, while serving as technical senior manager subject matter expert. Increased efficiency of colleagues on data science, network analysis, and social good with data science by arranging lunch and learn presentations and thought leadership programmes. Migrated data analytics tools and processes by providing effective recommendation for changes to partnership and senior management leadership.Identified needs for skills improvement and organised training/development sessions for junior actuaries/analysts in data analytics/science. Mentored to the BISA mentoring scheme to boost undergraduate knowledge and performance around Computer Science, Data Analytics & Data Science.Data Scientist, Aug 2017 to May 2018Delivered strategic leadership to a team of four data analytics professionals within the DigiTech department in PwC. Devised and implemented advanced visualisation techniques, including undirected, force-directed, and hierarchical to complex social and business network data for knowledge recovery. Developed linear forecasting methods on internal data sets, which improved future planning and capacity analysis. Utilised Google’s Dialogflow, which integrated with enterprise systems to build internal an NLP Chat bot prototype for tracking people's location, retrieving simple topic/knowledge, rendering graph, and responding to frequently asked queries. Offered expert-level guidance to client in implementing analytics platforms/technology, resulting in increased client satisfaction.Secured circa $1M to $2M YoY savings in internal cost through utilisation of descriptive statistics.Streamlined work internal processes, such as timesheet automation, expense classification automation, and knowledge networking with Google calendar data, resulting in generating potential annual revenue.Developed and executed new innovative ideas that provided transformative insight to company and clients, using explorative data analysis, statistical modelling, machine learning, and natural language processing.Ensured timely and under budgetary implementation of firm-wide data visualisation platform for over 500 to 1000 users through the development and effective management of technically project team.Enhanced stakeholders’ engagement through delivery of bespoke analytics, including problem scoping/definition, modelling, interpretation, and presentation).Coached and mentored 3-4 additional staff around the use of Data Analytics, how to start the journey of Data Science and what Data Science actually means and what it can doData Solutions Manager, Apr 2016 to Aug 2017Directed overall team operations related to data and analysis to ensure end-to-end smooth running of data-based business operations. Identified areas of development for staff morale/engagement by conducting sentiment analysis on surveys, while performing data analysis of staff calendar data that streamlined decision-making processes for engagements. Established and employed analytical models to maximise utilisation of capacity plans and hardware assets. Directed successful negotiation with stakeholder of internal and external resources to meet Business As Usual (BAU) and project work requirements.Secured $500K yearly savings by conducting data analysis and ensuring insight delivery on mobile device use.Spearheaded internal projects project with data components, ensuring completion within time and under budget.Delivered operational data insight to internal IT team through the development and execution of internal data visualisation platform and data mart, resulting in reducing 20% service desk ticket volume.Carried out all people and functional management of the Data Solutions team. Including project & task management, 1:1s, coaching, performance reviews/management and any conflict resolution.FAIRFAX MEDIA Pyrmont, Sydney Nov 2012 to Apr 2016Database Team Leader, Sept 2014 to Apr 2016Devised high-level architecture for enterprise scale log data analysis into redshift/RDS and overall data layer for enterprise scale content management system. Assessed new data and BI technologies comprising of Hadoop, Redshift, MongoDB, and Redis by cooperating with developers, DBAs and management. Performed testing and integrated Hadoop cluster for adobe site catalyst data, as well as rebuilt data layer for analytics cluster running on Cassandra in close collaboration with business intelligence systems team.Created, implemented, and managed 16TB Redshift data warehouse.Led successful migration of over 1500 physical servers in multiple data-centre moves as data/database SME.Designed, developed, and implemented operational intelligence solution for online hosting team to provide centralised analysis for more than two years of operational alerts across multiple teams.Carried out all people and functional management of the Online Hosting - Database team. Including 1:1s, coaching, performance reviews/management and any conflict resolution.Senior Database Administrator, Nov 2012 to Sept 2014Successfully analysed and transformed data layer for domain business unit to Amazon Web Services. Offered tactical support to team in MSSQL server management through deployment of central management server.Augmented 5% to 10% business efficiency by conducting performance analysis of all database systems.Decreased lead time from 1-2 days to 3-4 hours through optimisation and automation of data refresh project, resulting in enhanced productivity.Education and TRAININGS UNIVERSITY OF SYDNEY, AustraliaMaster Degree in Data Science - Distinction average to date, expected completion 2020UNIVERSITY OF HERTFORDSHIRE, United KingdomBachelor Degree (Hons) in Computer Science – Graduated in 2005 – Grade: 2:1TrainingsCoursera – John Hopkins – Data Science Specialisation | Machine Leaning – Andrew NgArchitecting on AWS | Fairfax, Stepping up to Leadership | PWC, Manager as Coach | PWC, Evolve Training | PWC, Public Speaking & Presentation skills | AIM/IML, Financial Management for Non-Financial Managers | ................
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