A Data Science Central Community
These 6 data science resumes, referenced in our data science book, were submitted to us for publication in our book, in December 2013. We provide them for illustration purposes only. It is very interesting to contrast them with the 6 job ads listed in our book: the contrast is spectacular; some of these companies are looking for the non-existent unicorn, master of all skills, but few companies offer perks such as telecommuting to attract such individuals.
Resume #1: David D’Aprile, Data Scientist
Result-oriented, hands-on freelance professional, with a successful record of accomplishments in ICT project management, as well as in academic research. Major strengths include strong leadership and capacity to work as a team player, as well as excellent communicational skills. The professional attitude is grounded in the cross-cutting knowledge of the academic, technical, and managerial ﬁelds. Attention to detail, as well as supervisory skills including hiring, termination, scheduling, training, and knowledge of business administration, complete the proﬁle.
I participated in an integration and digitalization project for Vodafone/Teletù. In addition, I was involved in a data monetization project. We used the following technologies/tools: R, Python, D3.js, MongoDB, Android SDK, and iOS SDK.
I recruited and led an international team of eight computer science experts involved in an Enterprise Application Integration project. We run a challenging project based on the integration of Microsoft Dynamics AX, CRM, and Microsoft SharePoint components. Speciﬁcally, we analyzed, designed, and implemented a Service Management System prototype, which provides a number of maintenance processes and uses some key performance indexes devoted to measuring the QoS of the offered maintenance service. In addition, we designed and developed a mobile application, using the Windows 8 platform to let an on-the-ﬁeld exploitation of the maintenance system’s capabilities.
Management activity on mobile app projects. Synesthesia is a startup company, whose core business is deeply grounded on designing and developing mobile applications for almost all platforms, using both the native approaches and the cross-platform ones. My collaboration with Synesthesia was mainly devoted to project management tasks, as well as presales activities.
A deep and broad experience on theoretical and practical project management methodologies and tools. Methodologies: PMI’s PMBOK (ANSI/PMI 08-004-2008), Agile (Scrum), and Microsoft Sure Step
System/Data Modeling and Analysis Skills
A wide range of system and data modeling and analysis capabilities, acquired during my Ph.D, and Post-doc experiences. They include the following list:
Resume #2: Vincent Granville, Data Scientist, Co-Founder
Dr. Vincent Granville is a visionary data scientist with 15 years of big data, predictive modeling, digital and business analytics experience. Vincent is widely recognized as the leading expert in scoring technology, fraud detection, and web traffic optimization and growth. Over the last 10 years, he has worked in real-time credit card fraud detection with Visa, advertising mix optimization with CNET, change point detection with Microsoft, online user experience with Wells Fargo, search intelligence with InfoSpace, automated bidding with eBay, click fraud detection with major search engines, ad networks, and large advertising clients.
Most recently, Vincent launched Data Science Central, the leading social network for big data, business analytics, and data science practitioners. Vincent is a former post-doctorate of Cambridge University and the National Institute of Statistical Sciences. He was among the finalists at the Wharton School Business Plan Competition and at the Belgian Mathematical Olympiads. Vincent has published 40 papers in statistical journals and is an invited speaker at international conferences. He also developed a new data mining technology known as hidden decision trees, owns multiple patents, published the first data science book, and raised $6MM in start-up funding. Vincent is a top 20 big data influencers according to Forbes, was featured on CNN, and is #1 in Gil Press’ A-List of data scientists.
Leading data science, visualization, data integration, and analytics community hub. Growth hacker. Data scientist, developer, author, blogger, speaker, professor, consultant, patent inventor, recruiter, community manager, co-founder, CFO, product and business development. Social network, fraud detection, business analytics, digital and e-mail marketing expert. Creation of the first Data Science Apprenticeship (see https://bit.ly/SmLXC8).
Previously DataShaping. Leading online career community for data science, big data and all business analytic positions. Growth hacker. Manage the biweekly newsletter sent to 80,000 subscribers, featuring career articles and the most recent advertised positions, reaching more analytic practitioners than all our competitors combined–including KDNuggets, SmartDataCollective, INFORMS, Data-Informed, American Statistical Association, Digital Analytics Association, etc. Research analyst, editor, co-founder.
I also provide consulting on traffic quality, click fraud and click scoring for meta job boards. Provide scalable, simple, customized and robust solutions that outperform traditional scoring technology, with superior ROI and fewer false positives/false negatives. Reverse-engineered solutions offered by previous vendor.
Keyword and search analytics using machine learning and pattern recognition:
Prototyped automated bidding and click scoring solutions for search engines, ad networks, and advertisers. Worked with the engineering team to implement my algorithms. Design of Experiment. Score standardization. IP blacklist design and management. Patent-pending statistical technologies. Supported Sales and Production team. Presented at Ad-Tech and the American Statistical Association conferences. Helped win several deals against large competitors (including Fair Isaac). Identified major Botnet. Raised $1.5 MM (Venture Capital funding).
Resume #3: Sumit Dhar, Leadership Role in Analytics & Analytical Technologies
I am looking for a strategic role in driving business solution and business growth through innovation and thought leadership in analytics technology/product domain. I have 15 years of experience in Predictive Analytics, Informatics, and Visualization. I am a fairly hands-on technical manager with a penchant for strategic business thinking. While I had started my career in the BI/DW domain, in the recent past lot of my work has been in the Predictive Analytics arena. I have worked as a Vice President in Analytics & Technology, grown large analytics teams, and managed analytics business. The bulk of my work has been in the Banking Financial Services domain with focus on asset products.
Tools and Techniques
Awards and Recognition
Resume #4: Dave Withers, Director of Information Data Architecture
Application Developer, Database Administrator and Architect, and Project Manager in a wide variety of business applications. Particularly interested in client-server and relational database design using MS-SQL Server. Interested in data warehousing and ETL projects, archival and data retention strategies, and disaster recovery, high-availability, and overall business continuity planning.
Lead technical solution delivery of Multi-Dimensional Databases, OLAP Cubes, Star Schemas, Dimensional Data models, and comprehensive ETL processes.
Program Manager in the SQL Systems Engineering group. Managing SQL Server Fast Track Data Warehouse reference architectures currently available on Bull, Dell, HP, and IBM platforms with multiple partners including Cisco and EMC in the recent FTDW 3.0 release.
Principal Consultant in Neudesic’s Business Intelligence Practice. In this role, I architect and develop large scale data warehouse applications providing clients with enhanced decision-making capabilities by augmenting information transparency in the organization and via enhanced “human-usable” visualization of data.
Operations Program Manager in the sustained engineering and tools team for Microsoft/MSN AdCenter Operations. Responsible for the business continuity and high availability needs of an advertising and content delivery system serving millions of online ads daily.
Administered, monitored, and tuned multiple complex databases. Maintained multiserver environment. Planned archiving strategies. Designed, implemented, and verified database maintenance, backup, and recovery plans. Implemented change control and naming standards. Set up and maintained replication. Managed all MS AS databases. Designed, modified, and maintained multiple data marts along with ETL processes. Wrote, troubleshot, and fine-tuned complex stored procedures. Responsible for security audits of all databases to ensure appropriate use of resources and data. Monitored all database, network and server resources to insure consistent and optimal database performance. 24x7 application and network support. Designed and implemented ETL for any upgrades and miscellaneous data loading. Developed performance metrics with regular reporting using Reporting Services. Monitored database sizing and adjusted as necessary. Performed reorganization, reindexing, and update stats to ensure efficient performance and utilization.
MongoDB for DBAs, MongoDB University, November 2013–Present
Resume #5: Janos D. Pinter, Research Scientist
My main area of expertise is nonlinear optimization: model development, exact and heuristic algorithms, optimization software implementations, engineering, financial and scientific applications. I also offer topical training courses and graduate level university courses on demand. Please visit www.pinterconsulting.com for detailed background information
Pintér Consulting Services, Inc. (PCS) has been in continuous operation in Canada since 1994. We offer optimization software products and related services to a rapidly growing worldwide clientele.
Our primary area of expertise is nonlinear systems analysis and optimization. This specifically includes the development of algorithms and software for global and local optimization. Software implementations are available for C/C++/FORTRAN compilers, with links to the modeling environments AIMMS, AMPL, EXCEL, GAMS, MPL, and to the integrated technical computing systems Maple, Mathematica, and MATLAB. These products can be put to good use in analyzing and solving a broad range of decision problems arising in engineering, economic, financial, and scientific research and applications.
Our services specifically include:
Resume #6: Francesca Lorenzoni, Mathematics Specialist
Matlab/Octave, Phyton, Html, Minitab, Gephi/Netlogo, LaTex, Google Analytics, Google AdWords, Wordpress, Plone/Joomla, Excel
Develop complex algorithms to create a multi-drone mission software used to design the automatic flights of drones between recharging stations in a fixed geographical area.
Planned, executed, and reported digital marketing strategies and online campaigns across various digital mediums including web, social, mobile, and e-mail. Analyzed website traffic to prove the effectiveness of digital campaigns. Managed AdWords campaigns up to 5000€/month, in Italian and English. Managed Facebook ADS and LinkedIn ADS campaigns, in Italian and English. Conference Manager at Boraso.com Academy: Organized web marketing courses and managed all web marketing activities (blog, SEO, SEA, DEM, social media, affiliates, press releases).
Monitored online brand reputation of companies using Cream, a tool for analysis of sentiment online. Elaborated reports and managed web sources.
Evaluated the results of web searches for appropriateness to search query.
Taught applied mathematics to students in the Department of Architecture.
Created and updated the Center’s website.
Google Analytics Individual Qualification (IQ), 2013
Paul Harris Fellow (2012) for my work as President of Rotaract Club Ferrara 2011-2012.