Technics Publications
* Research, seek out, and contact potential authors related to Data Science and A.I. topics. * Help the authors create a proposal for videos/books * Other relevant duties
Head of Data Science | Technical Author | Consultant in Analytics & A.I. | Entrepreneur
With a Master's in Information Systems & Technology, and a Ph.D. in Machine Learning, Data Science seemed the most logical career path for me. Although this has been my main focus throughout my career, I've also worked as a project manager, a program manager, an SEO manager, and an entrepreneur for several years. This enabled me to have a good grasp of how the business world works and how data science fits it. A prolific writer, I've written dozens of articles and blog posts, mostly on technical topics such as Data Science, A.I., Cybersecurity, and Data Strategy. Beyond that, I've published seven technical books with Technics Publications on Data-related matters, as well as a sci-fi novel on my own. I continue to publish articles from time to time, mostly on data literacy, privacy, and similar topics. Over the past couple of years, I've also experimented with a podcast on Analytics-related topics, from a Privacy and Cybersecurity angle. If you have any workflows in these areas, I'd be happy to share my experience with you and help you, not just learn about them, but also get passionate and good in these fields. For reviews of my mentoring services, received over a couple of years on another platform, feel free to check this cloud folder: https://app.box.com/s/mjto1jlfq5ab6jycsj83itgahhd5wzkl
I've worked in this field for 10+ years, authored books on it, and even mentored learners for 10+ years. Currently I work as the head of data science in a startup, while I also do consultation work from time to time.
I've worked remotely since 2019 (even before this mode of work became trendy!). Since then, I've learned how to optimize working this way and how to ensure reliability and performance, regardless of the location or the circumstances. If you are new to remote working, I may have some good tips for you.
Beyond analytics, I can provide guidance on various technologies and tools for developing a product, be it a prototype or a build to deploy in production.
I've used G.A. for a year or so, while I was an SEO manager in a small-/medium-sized company. It's quite straight-forward and a good source of insights from web-related data.
Big fan of this operating system and its ecosystem. I've used it extensively for several years, gotten familiar with its shell script (bash), and will probably continue to use it in the foreseeable future.
This is the first database system I've learned and I've used it extensively over the years. I've also mentored several people in the SQL part of their data science learning using MySQL. I'm also familiar with other SQL systems, like PostgreSQL.
I've worked with Python for several years, on both analytics and scientific projects. Quite familiar with most of its data science libraries, while I've also mentored students of various levels on how to use it in data science and data analytics work.
I've used Tableau for a few years now, mostly for basic analytics work, related to mentoring. Although it's *not* something I'd recommend for a startup due to its high licensing cost, if it's in your stack, I'd be happy to help you with it.
* Research, seek out, and contact potential authors related to Data Science and A.I. topics. * Help the authors create a proposal for videos/books * Other relevant duties
* Authored a book on data science applications using Julia (Available as of August 2016) https://technicspub.com/analytics * Created an educational video on learning Julia for Python users (Available as of November 2016) https://www.safaribooksonline.com/library/view/a-pythonistas-guide/9781634621656
STEALTH MODE -- Details later in the year
As CTO at Data Science Partnership, I am responsible for managing our client base from a technical perspective. I review our customers AI goals on a deeply technical level and support them with consultancy, research and resource delivery from Data Science Partnerships ‘virtual bench’ of artificial intelligence experts, data scientists, PhD level researchers, and implementation specialists.
Handling all data science related matters, along with contributing to legal & marketing documents. Coming up with ideas for new features in main product, as well as potential data products using the data at hand.
As Head of Content and education for Science Partnership, I am responsible for research and content development on bleeding-edge subjects surrounding Data Science, Artificial Intelligence, and Machine Learning. I also provide the platform for fresh talent via the Data Science Partnership network to publish their knowledge, research and skills to a wider audience.

[3-month contract position] * Performed data engineering and data analysis for Violation and Transaction Laundering detection * Built predictive analytics models using Python and Graphlab Create * Created reports and a demo to share findings with rest of the team and other shareholders of the projects * Developed new techniques for assessing feature value and performance, for very unbalanced datasets

* Managed data-driven projects in the Local team of Bing * Wrote data analysis scripts using Scope, Python, and Excel * Presented insights derived from data analytics work to developers and other PMs * Managed a team of in-house judges for various data curation related projects

* Research data science trends * Look into how data science can be used in a non-business setting * Write articles for Persontyle blog * Promote "Data Science for Humanity" project

* Design and implement data processing models for different types of data * Develop Machine Learning algorithms for predictive analytics * Feature engineering, extraction, selection, fusion * Learn and apply new techniques for Big Data analysis * Communicate all findings to team members and managers through different types of presentations and reports * Collaborate with DBAs and Data Architects to establish best raw data attributes and model evaluation metrics
• Organize all SEO- and SEM-related activities • Audit websites to ensure a certain quality standard • Liaise with external collaborators for technical and marketing related activities • Research a variety of technical topics and write reports and presentations about them • Assess and edit content of a series of websites, to ensure a certain quality standard • Come up with marketing strategies for promoting products • Find ways for solving problems of technical and financial nature • Managed two teams comprising of professional from a variety of cultural backgrounds

* Project manager in charge of a team of 5+ researchers * Fault diagnosis and prognosis for machinery of various air crafts. * Core research on Reasoning methods and Verification & Validation techniques. * Preparation of reports, presentations, etc. * Design and development of new programs to implement the aforementioned research

PhD in Information Systems (Applied Computer Science). Thesis topic: Pattern Classification using a novel approach. Details: This involves an assumption-free method of evaluating the structural properties of a dataset so as to formulate an intelligent strategy for classification and data pre-processing.

Assisted as many as 30 students in weekly computer labs for four different courses: * Web Development * Analysis Planning and Control * Introduction to Computing * Databases 1
Conducted research in Information Systems, developing protypes for new classification tools, running simulations/experiments on the computer, analyzing results, writing research papers, giving presentations, planning various tasks based on specific deadlines and reporting on my progress regularly.

• Lectured three classes of up to 200 undergraduates per class on the Statistical Package for the Social Sciences (SPSS) portion of the course, Introduction to Computing. Created all relevant teaching materials. • Supervised three computer labs that accompanied each of the three computer classes. • Taught ten classes per semester in Analysis Planning and Control (using Excel for financial applications) as well as all the accompanying lab exercises all for undergraduate students.