Hello! My name is Elias Batista and I am a Data Analyst and a Software Analysis and Development student.
Currently, I am focused on working with data, combining my business knowledge with skills in analysis, machine learning and statistics. My goal is to propose innovative solutions to a wide range of business challenges through data analysis. My career in business consulting has given me a solid understanding of the obstacles companies face today and how data can be used to solve complex problems.
As a professional, I adopt a proactive and collaborative approach, focusing on the excellence of the solutions presented. I am always looking for personal and professional improvement.
Assist in the migration of databases between systems, performing activities such as: exploratory data analysis to understand patterns and trends. Perform data cleaning and transformation, identifying and removing errors, inconsistencies and outliers, ensuring the accuracy and integrity of information. Standardize data according to business and system requirements, ensuring compatibility and efficiency in integration with the company's new ERP. Using tools such as Python, Jupyter Notebooks and Google Colab, Excel and Google Sheets.
Responsible for financial, strategic and process projects.Identifying problems through data analysis and process mapping, defining action plans, executing improvements and monitoring results using key indicators and results meetings.
Support the daily needs of the office by maintaining the necessary supplies, assisting in the control of payable and receivable accounts, ensuring the proper organization and storing of files, as well as ensuring the proper maintenance of office facilities and equipment.
Key Performance Indicators dashboard for a restaurant marketplace...
In this project, the concepts of Python Programming, data manipulation, strategic thinking and business logic, with web development tools such as Streamlit, were used to develop a management panel with the main metrics of a restaurant marketplace.
The result of the project was a panel hosted in a Cloud environment and made available through a web link.
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Machine learning sales forecast model for Rossmann stores...
In this project, the CRISP-DM methodology was applied to develop a machine learning solution tailored to predict sales at Rossmann stores. The primary objective was to enhance and streamline decision-making processes for company executives.
The project navigated through essential phases of a machine learning project, such as: data description, exploratory analysis, feature engineering, feature selection, model selection, hyperparameter tuning, ultimately leading to the deployment of the XGBoost model in a production environment.
The output of this project is an XGBoost model, accessible through an API, which is integrated with a Telegram bot to facilitate efficient communication and operational agility.
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Machine Learning essay of Classification, Regularization and Clustering algorithms, with the goal of understand how diferent hyperparametrs and the spliting of data into train, validation and test datasets may impact performance and lead to overfitting or underfitting in machine learning models.
See MoreIf you are interested in collaborating with me or have any questions about my projects, feel free to contact me.
I am always open to new opportunities and exciting challenges in the data science field.
