About Me

I'm a Data & Cloud Professional with a passion for building data-driven applications, automating data pipelines, and leveraging machine learning to create impactful solutions. I hold a Master's Degree in Data Science and Project Management from HTW Berlin, where I specialized in statistics, machine learning, and project execution strategies.

My career journey began in law and finance, where I worked as a Compliance Officer. Inspired by my passion for problem-solving with data, I transitioned to the tech industry and have since gained extensive experience in data engineering, analytics, and software development.

🏆 I thrive in hackathons and boot camps, where I constantly push the boundaries of innovation. Notable highlights include:

• Multiple Hackathon Wins: Impact Hub (2022), Measure of Music (2023), CHEEX (2023)
• TechLabs Graduate: AI (2023), Data Science (2022)

I particularly enjoy building full stack data driven applications.

🔭 I’m working on: I recently developed here & now, a voice-enabled discovery app that helps users find events, places, and fun activities nearby through interactive chat and TTS.

I’m also building scalable data pipelines at Application Engineering Labs, focusing on Terraform, CI/CD, and cloud-native solutions for clients.

Additionally, I serve as a mentor at TechLabs, guiding teams on AI and data-driven projects to help them successfully build and deploy real-world applications.

🌱 I’m currently learning: Mastering AWS services for deploying machine learning pipelines

🤔 What I want to learn next: Autoscaling and orchestration with Kubernetes

📫 How to reach me: hello@rashmidsouza.com

⚡ Fun fact: I've battled Mealybugs to keep my houseplants alive.

🔧 Tools & Technologies I Work With:

• Data Solutions: Designing, building, and optimizing data pipelines and workflows
• Machine Learning & Analytics: Developing models, analyzing data, and generating insights
• Cloud & Infrastructure: Implementing scalable, cloud-native data solutions
• Automation & Orchestration: Streamlining processes with automation and workflow orchestration
• Big Data Processing: Handling large datasets and distributed data processing
• Visualization & Reporting: Creating data visualizations and reports to support business decisions

👻 What I do besides hammering keys: I enjoy cooking Indo-Chinese cuisine, picnics by the river and watching sci-fi movies with my husband.