Unlock the Power of Data and Transform Your Business with Evidence-based Decisions!

ABOUT ME

I'm a Skilled Data Analyst

with a passion for uncovering insights that leads to data-driven decision making. With expertise in Python, SQL, Power BI, and Tableau, I have a proven track record of delivering impactful results for a variety of industries. As a freelance data analyst, I translate data into valuable and comprehensible insights. My goal is to improve results, make the right decisions and save costs.
Let's work together to turn data into actionable intelligence.

skills
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Python

I'm Python Certified Associate PCAP with expertise in Pandas, NumPy, MatPlotLib, Seaborn, Plotly, Scikit-Learn, NLTK.

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Tableau | PowerBI | Excel

I am proficient with the most used data visualization tools to show meaningful insight with interactive charts.

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SQL

I master the SQL language to query almost all types of relational databases like SQL Server, Oracle, MySql.

SERVICES

My Services

Data Analysis

I am specialized in analyzing data. Results, trends and recommendations are clearly presented in reports or tools.

See Example

Dashboards

Visualize results in an interactive way. By clicking and drilling, you will examine trends and patterns yourself.

See Example

E-Learning

I offer online live courses and tutorials in Python for Data Analysis, from beginner to advanced level.

 
WORKFLOW

How Data Analysis Works

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Defining Objectives

Identify the strategic goals and information required by the target audience to narrow down a potentially infinite number of indicators to a smaller and more focused set.

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Data Collection

Gathering data from various sources, such as databases, surveys, or experiments. This stage helps ensure that all relevant data is obtained.

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Data Cleaning & Exploration

Removing or correcting any errors or inconsistencies in the data, such as missing values or duplicates. Performing initial investigations to discover patterns, spot anomalies, and test hypothesis.

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Data Analysis

Is the intermediate phase which involves the use of statistical methods and techniques to explore, analyze and interpret data in order to extract useful and meaningful information.

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Data Visualization

Transforming data into visual formats such as charts, graphs, and maps, making it easier to see patterns, trends, and relationships. The goal is to present data in a clear, concise, interactive and meaningful way.

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Data Interpretation

Drawing conclusions from data analysis and visualization, and effectively communicating the results. This last stage is crucial because it enables evidence-based decisions making.

PORTFOLIO

Recent Projects

Medium

My Medium Articles