Looking for a job

Amanda Cavalcante da Silva

@amandacsilva

Computer Science Senior | Back-End Developer | Data Science & Analytics Enthusiast. Building the infrastructure for data-driven decisions.

Brazil

Message

What I'm looking for

I am looking for a Data Science or Data Engineering role where I can apply my 2 years of experience in Python, Power BI, and Databricks. I thrive in environments that value automation, clean data governance, and the bridge between technical infrastructure and business insights. I’m excited to join a team that invests in emerging trends and data-driven decision-making.

Final-year Computer Science student with 2 years of experience across the full development lifecycle. I specialize in bridging the gap between back-end engineering and data science, utilizing a technical stack that includes Python, Java, C++, and C.

My focus is on building robust systems while leveraging Power BI to transform raw data into actionable insights. I thrive at the intersection of logic and analysis, seeking to apply my 'full-stack' data mindset to solve complex, data-driven challenges.

Experience

Work history, roles, and key accomplishments

Current

Data & Analytics Intern

Current

CNI/SESI/SENAI/IEL

Sep 2025 - Present (4 months)

Performing data engineering tasks focused on the maintenance and monitoring of enterprise-grade environments, including Data Lakes, Data Labs, and corporate Power BI platforms.

Data & Analytics Databricks Power BI Python R Spark SQL Pyspark Azure DevOps Azure Data Factory

TI Intern

NEOENERGIA BRASÍLIA

Jan 2025 - Sep 2025 (8 months)

Automating energy supply suspension workflows using Python and SAP HANA SQL. Developing data-driven logic for the selection and issuance of service suspension notices.

Python SQL SAP Power BI Excel SAP HANA Database (Cloud)

Ai community surfer

TELUS International AI Inc

Jan 2023 - Jul 2023 (6 months)

Researching and defining market trends based on social media analytics and user behavior patterns.
Filtering relevant research and emerging trends derived from web browser search data.