Adept in technology with a primary focus on data analysis and problem-solving. Proficiencies include ETL processes utilizing SQL and Python, the creation of indicators, development of dashboards, and process automation with Python. Additionally, demonstrates the capability to generate insights through the use of PowerBI. 

Active in the data field since 2018, consistently pursuing pragmatic and adaptable approaches to problem-solving to suit diverse contexts and interactions. 

Educational qualifications encompass a degree in Systems Analysis and Development, complemented by a Postgraduate degree in Business Intelligence and Analytics, specializing in Data Science.

Business Intelligence, Big Data and Analytics - Data Science


1/1/2023 - Present

Handled comprehensive data analysis and business intelligence tasks, highlighting proficiency in SQL, PL/SQL, and Python for data mining and data engineering purposes. Leveraged ETL (Extraction, Transformation, and Loading) techniques and tools to streamline data workflows and ensure data quality. Utilized Microsoft Power Automate to automate routine processes, improving operational efficiency. Developed and maintained complex data visualization dashboards using Microsoft Power BI, facilitating business insights and aiding decision-making processes. Demonstrated advanced analytical skills and business data analysis capabilities through consistent delivery of insightful business intelligence reports.

Displayed technical expertise in various business intelligence tools and data analytics frameworks, underpinned by strong logical reasoning and problem-solving abilities. Deployed robotic process automation (RPA) to enhance productivity and accuracy in repetitive tasks. Excelled in using Microsoft Excel for data modeling and in-depth data analysis. Fostered collaborative teamwork and interpersonal skills, contributing to a cooperative working environment. Showcased tech-savviness and adaptability by continuously updating skills and knowledge in emerging data technologies and methodologies.


11/1/2021 - 12/1/2022

Achieved proficiency in utilizing Microsoft Power BI and Microsoft Excel for advanced data visualization and analytics. Developed significant expertise in SQL, PL/SQL, and ETL processes for effective data extraction, transformation, and loading. Demonstrated capability in data mining and business data analysis, leveraging business intelligence tools to generate actionable business insights. Utilized Microsoft Office and Microsoft Power Automate to streamline workflows and enhance productivity through robotic process automation (RPA). Strengthened problem-solving, logical reasoning, and analytical skills within the context of business intelligence and data engineering projects. Fostered strong interpersonal skills and the ability to work cohesively within diverse teams, ensuring effective cooperation and teamwork in complex business analysis tasks. The role necessitated a tech-savvy approach combined with exceptional attention to detail in the realms of data analytics and business intelligence.


10/1/2018 - 11/1/2021

Developed proficiency in cooperation, problem-solving, and logical reasoning while performing complex business data analysis and data visualization. Demonstrated expertise in utilizing database systems to gather and analyze extensive data sets. Successfully implemented Microsoft Power Automate and Robotic Process Automation (RPA) to streamline business processes, enhancing operational efficiency. Applied advanced analytical skills and business intelligence tools, particularly Microsoft Power BI and Microsoft Excel, to derive actionable business insights and create compelling data visualizations. Cultivated strong interpersonal skills to facilitate cross-functional collaboration and drive data-driven decision-making within the organization.

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