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Edgar Flauzino

Edgar Flauzino

Career break

University of São Paulo

Technologies

My Portfolio Highlights

My New Course

Introduction to Python

My New Course

Introduction to Python

Quantitative detective, uncovering the truth hidden in the depths of data.

My Work

Take a look at my latest work.

course

Introduction to Python

course

Intermediate Python

course

Introduction to Python

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Intermediate Python
Data Manipulation with pandas
Supervised Learning with scikit-learn

My Work Experience

Where I've interned and worked during my career.

M Square | Jan 2021 - Mar 2022

Business Analyst

Responsible for investment operations and process automation of several routines using Python (pandas, seaborn and others), Excel (advanced formulas and VBA) and T-SQL, reducing several hours of operational time. Documented investment routines with Visio diagrams and OneNote, improving work efficiency.
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BRK Ambiental | Apr 2020 - Jan 2021

Jr Financial Analyst

Coordinated debt structuring due diligence, maintaining cloud storage, tracking pending files and meeting deadlines, helping the company acquire up to BRL 2 billion in credit. Established disbursement goals by forecasting monthly updates, acting as an intermediary between the bank and the projects.

Echoenergia Participações S.A. | Jan 2019 - Mar 2020

Project Finance Intern

management with decision-making. Optimized covenants monitoring and KPIs analysis with PowerBI dashboards. Built a top-end debt service analysis on Excel (+VBA) to ensure correct payment forecast.

My Education

Take a look at my formal education

BSc, Mechanical Engineering in Mechanical EngineeringUniversidade de São Paulo | 2020
High School Diploma in MechatronicsETEC - Escola Técnica Estadual de São Paulo | 2011

About Me

Edgar Flauzino

Data professional with 3+ years of solid background in finance and Data Analysis with Python (pandas, seaborn, etc) and SQL (BigQuery and SQL Server). Proven experience in financial analysis, data modeling, data visualization and process automation.

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