About Me
Lean Six Sigma Master Black Belt, Analytical CRM professional, Innovation management specialist, TEDx speaker Lean Six Sigma Master Black Belt ;
Data Science lover ;
Crazy about Innovation Management ;
14+ years in deep expertise in IT, Strategy, Business Development, Innovation and Customer Experience Management ;
11+ years are fully dedicated to Telecommunications and Consultancy.
Total of 2 years of international full time job experiences in Sweden, Turkey and Nepal.
Manager of Barama Innovation and Entrepreneurship Center, the first Startup incubator in Azerbaijan. Today with several offices , more than 20 events and more than 100k engagements in a year.
Founder and CEO at IBMS Solutions (Intelligence Business Management Studio) business consultancy company helping businesses to become lean, defect free and armed with analytical CRM.
Run more than150+ local business projects and 5+ cross-border/multi-company projects. Latest international project is Analytical Competence Building project, run in 8 countries and consisting of 30+ team members in different countries ;
Main principles:
* Strong alignment to business ethical code ;
* Building trust and facilitating team work ;
* Creative & innovative approach to problem solving ;
* Factual, data-driven decision making ;
* Time to market is first priority ;
* Organized process flow while problem solving ;
* Getting into the shoes of customers ;
Experience in short:
Entrepreneurship & Consultancy management - 4+ years
Innovation management - 4 years ;
Customer Experience/Channels management - 1 year ;
Strategy and Business development - 2 years ;
Marketing - Business Intelligence / Advanced Analytics - 5+ years ;
Marketing - Pricing and Product management - 3 years experience ;
Finance - Investment Banking - 2.5 years experience ;
ICT - Development/System administration - 2.5 years experience ;
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Skills description
Machine learning is a process which allows a machine (computer) to show the behavior not programmed preliminary. Using algorithms, multiply extracted from data, machine learning helps the computer find the needed request without explicit programming.
Today machine learning is a first-class ticket to the most successful career growth in the field of data analysis. It involves information technology and statistics, and uses this data to enhance the results. This technology is a must-have skill for every analyst striving for the improvement and acceleration of the data collection and result analysis.
Newsfeed of Facebook social network uses machine learning to analyze the channel of every element. For instance, while scrolling the newsfeed you stop to read or like the post of one of your friends, the system remembers it and subsequently shows you more news from this friend. Actually the software simply uses statistical and predictive analyses in order to identify algorithms in the user’s data and to apply them in newsfeed. If later on you don’t read the posts of this friend, new data will be input in the data set and newsfeed will be corrected accordingly. This called iterative aspect of the machine learning – ability to independently adapt to the new data.
Exactly machine learning specialists are presented in TOP experts’ category down below: Middle and Senior level with strong programming skills in popular languages (mostly Java and Python). These talents are specialized in Digital Signal Processing, Recommender Systems, Computer Vision, as well as Sentiment Analysis, Computer Linguistics and Natural Language Processing for more niche project requests.
Today, mobile traffic constitutes its deserved lion's share of total digital traffic worldwide. Moreover, smartphones stay with us almost always, so it’s obvious that mobile-oriented business may become much closer to the audience! As a result, those who are “mobile” have much more chances to engage the potential customers into their brand story. That is really why the industry of mobile applications and mobile-adaptive web solutions is freely blooming now!
If you decided to hire an experienced mobile developer, make it clear what technical tools he already use. Modern IT market offers both teams (professional groups of Frontend Mobile Developers and Backend Mobile Developers) and independent Full Stack Mobile Developers.
All the developers presented on this site are professionals with ages of dynamic experience in mobile application development. Great variety of different professionals with huge and outstanding arsenal of needed tools/technologies allows you to choose a performer with the set of skills that is really necessary in your individual business case. What is unique? You can hire both freelance developers or outsourcing company team on AOG!
Predictive or forecasting analytics is, first of all, a variety of statistics methods, data analysis and game theory applied for the analysis of current and historical information to ensure future data prediction.
The most popular application of such an analytics is credit scoring which helps to estimate the client’s creditworthiness when issuing loans in the bank. Here it goes about how to avoid walking twice in the same river: any credit scoring is based on the historical facts, so if a group of clients has previously failed to repay loan on time and you somehow have similarities with this group, then your application for credit will likely be turned down.
But this is just one of the spheres where predictive analytics is applied; it can be also used for product design, targeted audience selection, next best offer, etc.
If you still don’t use predictive analytics, we would recommend you to take a closer look at these techniques as they can essentially enhance your business efficiency.
