Proficient in crafting robust reports leveraging SQL Server technologies including SSRS, SSIS, and SSMS.

Optimized the performance of queries significantly reducing their execution times, all this prior to deep analytics.

Utilization of AWS services for seamless data migrations, incorporating DMS, Step Functions, Lambda, S3, Athena, EMR, and Python.

Analysis and Prediction: Leveraged Python and SQL for exploratory analysis and building predictive models, utilizing libraries such as NumPy, Pandas, Seaborn, and others. Applied these tools to infer behaviors within Tax Management and contribution systems, including projects focused on risk analysis.

Utilized Visual Studio Code and Amazon SageMaker as coding environments for analysis and prediction tasks

Developed intricate SQL queries and Python scripts to compute metrics, facilitating the design of interactive dashboards using Power BI or Amazon QuickSight.

Utilized SVN (Tortoise) as a version control system.

Utilized Jira as a comprehensive work management tool

Analyzing: Using PostgreSQL to create data warehouses or ETL processes and PowerBi to get a view of sales in a more user and developer friendly way.

Data Analysis and Predictive Modeling: Utilized Python, including libraries such as NumPy, Pandas, and Matplotlib, to conduct in-depth data analysis and predictive modeling, particularly in the domain of financial services. Employed machine learning techniques, including supervised algorithms and PyTorch, to assess banking risk and forecast potential outcomes related to credit and savings.

I have proficiency in utilizing various development environments such as Visual Studio Code, Spyder, and Google Colab for coding purposes.

Metric Development and Interactive Dashboards: Spearheaded the creation of intricate SQL queries and Python scripts to compute financial metrics. Crafted dynamic and interactive dashboards using Power BI.

Continuously leverage SQL within Python to construct intricate queries, enhancing the analytical process.

Utilized Object-Oriented Programming principles in Python to develop modular classes, facilitating easier troubleshooting. Additionally, leveraged these classes to develop desktop system dashboards.

Used GIT (GitHub) as Version Controller.

Knowledge and experience in the agile Scrum methodology, including sprint planning, daily meetings, retrospectives and reviews.

Creation of Desktop System: Utilized IDE Lazarus (Pascal) along with other software tools to develop desktop accounting systems."

Managing database: Used PostgreSQL, and SQL Server to create and manage the database.

Front End: Used tools such as HTML, JavaScript, and CSS to develop a Financial Web Application.

Used Subversion (Tortoise) for maintaining current and historical versions of the projects

Used Scrum for incremental product development

Used Development Object-Oriented.

Used Visual Studio IDE (C#) and other software tools to create accounting systems (desktop system) to create an educational software.

Used MySQL to manage databases and create complex SQL queries.

Participated in team building activities to improve working relationships.

Developed Financial Backend microservices.

Led version control efforts for the organization, employing GitHub and other public and open source repositories.

Participated in software field testing to verify performance of developed projects.

Trained and managed team of developers and discussed issues to provide solutions and apply best practices.

Introduced agile methodologies (Scrum) and development best practices in the division to improve product development.