portfolio 7.8 - 2016

Rubens Zimbres Fev/2016 1

Rubens Zimbres Fev/2016 2 All images, graphics, analysis and models presented here were developed by me


I was CEO of Doux from 2010 to 2013. The clinic has a yearly revenue of 2.5 million BRL. In 2010 the business has a debt of 1 million BRL and monthly revenue of 64 thousand BRL. I fired 6 out of 12 employees, hired new ones and did a quality research with clients. I analyzed results of the research and the database (750,000 records) regarding demographic data, profitability, purchases patterns, cost, time spent in procedures and sales. I opted for a value strategy, high service quality, moderate cost control, investment in digital strategies and fostering of word of mouth advertising. In the first years profit increased 100% and lots of patients returned to the business. Then I increased price by 8%, defined goals for variable remuneration and more flexible payment options. Most part of profit was reinvested in the business. I increased salary of employees by 20% and goals were achieved in 70% of time. Most employees received 2 or 3 additional salaries due to variable remuneration. They also got healthcare and their satisfaction ncreased quality offered to the clients. After 2.5 years, net profit increased 239%, financial leverage decreased 36%, ROI increased 206%, ROE 95%, EBITDA 98.5% and monthly revenue became 180 thousand BRL (almost tripled).


Tracking tools: -‐ Google Adwords -‐ Google Webmasters Tools -‐ Google Analytics -‐ Google Search -‐ Woorank -‐ Locaweb Control Panel -‐ Internal reports -‐ Database data

Locaweb Graphics

Daily Visits to Doux Dermatology Website

Rubens Zimbres

START


REVENUE

PROFIT


GOAL

Rubens Zimbres Fev/2016 9 Tableau database


Sales

Profit


Below I present a model that simulates population dynamics, where we can see number of consumers in each class (satisfaction levels, diferente colors) and their evolution over time (weeks). The model uses artificial intelligence with autonomous choices of partners (unsupervised learning) and complex behavior.

Tempo t

Tempo t+23

Consumidores

Estados


Geolocation of sales in the states

Profit/Loss Analysis


Patent of the Social Network code

I also develop social network models using artificial intelligence associated to supervised and unsupervised machine learning, to identify clusters and relevant customers in a community. This way, marketing efforts can be easily directed.


Clusters inside community 1

Community 1 (dark red)

This model was conceived through interactions among clients. We can see the spatial configuration of the social network (social distance), connections, positioning of people of interest (red circles), communities (diferente colors), clusters inside a coommunity, people of interest’s connections and simulate future interactions following a pattern of interaction.

Consumer of interest


Social Network of 5.000 consumers

Communities in different colors

Consumer of interest (red

dot)


Pattern 1 Pattern 2

Line of pattern GOAL


80% of Big data is unstructured. This is the great challenge of businesses in the analysis, given that academic literature lacks a reliable way to code and analyze this type of data. I developed an algorithm that identifies keywords, the reasoning of the text and the subject and I have the research skills to develop a new way to code and analyze unstructured data via qualitative analysis.


RUBENS ZIMBRES

[email protected] (11) 96750-‐6962 (11) 3022-‐6755

portfolio 7.8 - 2016

Technology