Next let’s talk about my professional background

Xeneta is a fast paced, fast growing data scale-up that revolutionize the logistics industry using data. To be more specific it provides prices benchmarks for shipping containers across the word, and industry that until now was very opaque.

I worked there for a year and started as a Junior Data Analyst. My main job was to clean the price data coming from the customers and uploading it to the platform. This is how the company was able to provide price aggregates on it’s platform. Later, as I took more responsibilities during the year, like answering questions with SQL and being in charge of the workload distribution dashboard (Amazon Quicksight), I got promoted to Data Analyst. During my data cleaning duties I started with Excel and once I figured that the format from a customer was consistent I would migrate the logic to a Python script that would later be uploaded to GitHub and ran automatically with a human checking step obviously.

Here is what I put on my CV to talk about my journey at Xeneta:

• Data Processing: Cleaned, prepared, and quality-checked over 130 dataset from various sources, reducing data processing time by 17%.

• Dashboard Management: Maintained, and improved a dashboard using Amazon QuickSight to solve business problems and support decision-making.

• Advanced SQL: Answers clients and customer success questions using advanced SQL queries (CTE, window functions, subqueries, joins)

• Automation: Developed Python scripts to automate data processing tasks, enhancing efficiency and accuracy. Documented and published scripts on GitHub.

• Communication: Communicated analytical results and insights to multiple stakeholders, including customer success, product, data science, tech, sales, and management teams.

2K is a well known video game publisher, known for big franchises like NBA2K, Borderland, Civilization, Mafia and more.

There I started as a Game Security Analyst but since the beginning I was doing Data Analyst tasks so after a while we decided to make it an official Data Analyst role and naming it Game Security Data Analyst.

I have two main jobs at 2K: helping the Senior Game Security Analyst catching cheater using my technical Data Analyst skills (more on that later) and reporting on the Game Security Team’s product -> our anti-cheat software.

To help the Senior Game Security Analyst catch cheaters I would build self-service data analysis python notebooks or directly write SQL queries to match patterns he knew were fraudulent.

One project I’m really proud of is automating ban waves using python scripts and Amazon lambda functions. It required designing the workflow, writing the logic and collaborating with our cloud architect to deploy the scripts on the cloud.

Here is what I put on my CV to talk about my journey at 2K:

• Data Analysis: Found cheaters through abnormal user data using advanced SQL to query big data datasets on Snowflake and Postgres databases.

• Data Visualization: Created interactive dashboards using Tableau and Plotly, enabling dynamic data exploration, and better reporting and decision-making.

• Automation / Process Optimization: Developed Python scripts and automated ban waves workflows significantly reducing manual effort and increasing operational efficiency.

• Data Engineering: Created data pipelines with Python, tables, views and cron jobs within PostgreSQL.

• Project Management: Managed and prioritized multiple tasks and requests autonomously.