Adriano Firmino Pereira

Age: **

Address: Coronel Camisão Street, 209 – Vila Gomes – São Paulo/SP - Brazil Marital Status: Single

Mobile: +55-14-991******

E-mail: adjni9@r.postjobfree.com

PROFISSIONAL SUMMARY:

Graduated in Business Administration from the University of São Paulo and in Database Technology from the Faculty of Technology of São Paulo. Experience in Business Analytics planning, Quality Assurance. Currently developing BI projects at INTEL USA working with Microsoft SQL SERVER, ORACLE BI, ETL SSIS, T-SQL, PowerR BI, Tableau, Tabular Model and Python tools. Experience in projects of Artificial Neural Networks, Pybrain, Scikit-Learn and Keras. Hands on profile, constructive leadership, focus on results, collaborative and meritocratic. Attentive to details, I have fun when I'm in environments where the numbers and processes are well observed. Diligent, organized, responsible and disciplined, I work even better in high pressure environments. I have a strong core business in results analysis and construction and data modeling, which I have always worked with a large volume of data. PROFISSIONAL GOAL:

Seeking new career challenges, focused on Business Intelligence and Artificial Intelligence. EDUCATION:

2017 - 2020: STATE COLLEGE OF TECHNOLOGY - FATEC BAURU - TECHNICIAN'S LICENSE ADMINISTRATION OF DATA BASES

2011 - 2016: UNIVERTIY OF SÃO PAULO - USP - SCHOOL OF ECONOMICS, BUSINESS ADMINISTRATION AND ACCOUNTING AT RIBEIRAO PRETO

COURSES

Business Intelligence with Tableau Desktop, Udemy - (January 2021) – In Progress Data Science and Machine Learning with Statistics and Python, Udemy – (January 2021) – In Progress BI ORACLE - OBIEE e ODV, Udemy- (December 2020) – Completed Business Intelligence - Tableau Desktop, Udemy - (August 2020) - Completed Python Fundamentals - Data Analysis, Data Science Academy - (July 2020) – Completed Microsoft Power BI - Data Science, Data Science Academy- (February 2020) – Completed TensorFlow: Machine Learning e Deep Learning with Python, Udemy (September 2019) – Completed TABULAR MODEL, SQLBI - (July 2019) – Completed

Database Oracle SQL e PL/SQL, Udemy- (February 2019) – Completed Business Intelligence with Tableau Desktop - - BI ACADEMY MICROSOFT. (November 2018) - Completed Business Intelligence with Power BI - Case Studies - BI ACADEMY MICROSOFT. (November 2018) - Completed MongoDB, Neo4J and Redis! The most used banks for Data Science Udemy Academy (November 2018 - Completed BUSINESS INTELLIGENCE (SSAS, SSIS, SSRS), BI ACADEMY MICROSOFT. (November 2018) - Completed.

• In this course I created a complete Business Intelligence project for a fictional retail store. Modeling the Relational Database and Datawarehouse, going through the data loading phase with the ETL tool, Integration Services, after creating the cubes in Analysis Services and finally, using Report Services, the Reporting tool from BUSINESS INTELLIGENCE SQL - ETL Integration Services 2016, BI ACADEMY. (September 2018) - Attending.

• Transfer data from different sources to different destinations.

• Make an analogy between Integration Services and other tools.

• Import and export packages.

• Upload a Datawarehouse.

CERTIFICATIONS:

Azure Fundamentals – Microsoft - 2020

COMPUTER SKILLS:

Microsoft SQL Server Integration Services (SSIS) (Advanced). Microsoft SQL Server Analysis Services (SSAS) (Advanced). Microsoft POWERBI ((Advanced),

Microsoft PL / SQL ((Advanced)

ORACLE PL / SQL(Advanced)

TABLEAU (Advanced)

ORACLE DATABASE (Advanced)

Python (Advanced)

Microsoft Tabular Model (Advanced)

LANGUAGES:

English: (Advanced) -Common European Framework for Reference (CEFR) - Level B2 Spanish: (Intermediated)

PROFESSIONAL ACTIVITIES:

Arbit Consulting Group - Junior Consultant III - Business Intelligence - since March / 2019 Performing projects in BI consulting, focused on Microsoft tools. Currently allocated to Intel USA, participating in global projects, between USA and Costa Rica. Cube maintenance, Data Warehouse, view changes, Tunning SQL, Ingestion in Git, Project development in Tabular Model, MDX and Power BI. Programming in C # and Python. Collinson Group – BI Analyst – Jan/2019 – Feb/2019 I worked with construction of SQL semantic layer (OLAP), understanding the needs of users. Creation of Management Reports, Dashboards and KPI's. Data manipulation in relational databases, mainly Oracle and MySql, applications in ETL tools Alteryx, TABLEAU, SALAESFORCE.

RocketStocks – Smart Investments – Founder – Mar/2018 I created a Startup focused on artificial intelligence to help small investors improve their results when investing. I am making the developed algorithms available free of charge, which cross a large volume of data from the national and international financial market daily, mitigating the error when investing and improving decision making. Cnova Comércio Eletrônico S.A– Market Intelligence Intern - Mar / 2015 - Jun / 2015 Prepared and sent daily, weekly and monthly sales reports: Updates to KPI’s and Dashboards, monitoring of sales metrics: projected vs. budgeted, growth compared to previous periods. Responsible for analyzing and calculating the results of sales incentive campaigns for LG, Brastemp, Cromus, ELG brands. Mideia, George Foreman, Panasonic, Nikon. Performance of results and alignment of the strategies of the company's commercial team;

EXTRACURRICULAR ACTIVITIES:

Entrepreneurs Center - Junior Company - Business Director - Jan / 2012- Dec / 2012 I led 3 consultants, from their training, to insert them in projects of the junior company, creation of new projects for companies, alignment and formatting of projects together with entrepreneurs and accompaniment of consultants in their activities

Entrepreneurs Center - Junior Company - Business Consultant - Mar / 2011- Jun / 2012 Guidance for preparing business plans; project feasibility analysis; assistance in finding financing and consulting for the creation of new companies. Prospecting for new customers and advising on events. Volunteer work at the Santa Úrsula Social Center - Feb / 2014 –Jun / 2014 The voluntary work aimed to carry out the internal communication and corporate governance plan so that the Centro Social Santa Úrsula, located in the Vila Tibério neighborhood in Ribeirão Preto would obtain greater results by raising more funds through donations made by the parents of the students of the College Santa Úrsula, since in its entirety, the entity is maintained by resources from the maintaining matrix. SCIENTIFIC RESEARCH

2020: FORECASTING OF TIME SERIES IN THE FINANCIAL MARKET WITH NEURAL NETWORK TO SUPPORT DECISON- MAKING IN PETROBRAS ON STOCKS - PETR3

Neural Networks are machine learning tools that allow to model and cross a large volume of information over a short period of time, correlating patterns in time series with high data volume, allowing you to mitigate prediction errors with greater assertiveness. The Oil Market has an international dimension, where the trading value of its assets is based on various indexes referenced to the US financial market, including BRENT Oil and WTI, which are references to assets traded in this market. The objective of this work is to evaluate, through a financial time series prediction model, using the FeedFoward Backpropagation Artificial Neural Network, and the Levenberg - Marquardt algorithm, the influence of these indices on operations to buy stocks of the Petrobras ON - PETR3, assisting the decision making for the purchase or not of this asset in Day-Trade operations.

2019: ARTIFICIAL INTELLIGENCE APPLIED IN THE COMMODITIES MARKET - PREDICTIVE ANALYSIS OF THE CLOSE PRICE OF THE SUGAR INDEX NY Nº 11 FUTURES. COMPARATIVE BETWEEN MULTI-LAYER PERCEPTRON NEURAL NETWORKS WITH THE STATISTIC METHOD HOLT-WINTERS

This paper proposes the use of artificial intelligence applied to the commodity market in predicting the closing price of the NY Sugar Index No. 11 Futures based on the Thomson Reuters Index_CoreCommodit CRB Exceed Return Index as a complementary variable to evaluate the influence of this index on the decision making investors who perform capital protection operations, mitigating the risks of price fluctuations in the commodity market. In particular, this work adopts exponential smoothing and neural network techniques, applying the Multi-Layer Perceptron algorithm in comparison to the Holt-Winters method to evaluate the influence of this index on the closing price of the NY Nº11 Futures Sugar Index. Our experimental results showed that the use of neural networks is more efficient to predict the value of the Sugar NY No. 11 Futures index, suggesting that this technique is promising as a decision-making tool to buy / sell this asset in future market operations. 2016: GRADUATE PROGRAMS IN BUSINESS ADMINISTRATION IN BRAZIL: AN OVERVIEW BY EVALUATION SYSTEM OF CAPES (2010-2012)

Programs for post-graduate studies in Brazil have evolved over the years and has proven essential to the training of professionals and to economic, social and technological development of the country. This study aimed to characterize the programs stricto sensu graduate programs in business administration in Brazil, according to the indicators on the Evaluation System of Coordination of Improvement of Higher Education Personnel (CAPES). To this end, an analysis of evaluation sheets in such programs for 2010-2012 period, highlighting the following aspects: institution of higher education offering, administrative category, State, type of program (MSc and Ph.D. master's, doctoral, professional, master's) and marks obtained by each program. From this information it was possible to provide a panoram of 115 stricto sensu graduate programs in Business Administration and Accounting in Brazil, representing 95% of the programs evaluated by CAPES in 2010-2012 period.