Sandra Martinkova

During this period, my role evolved from hands-on data engineering and automation delivery to leading strategic initiatives focused on AI enablement, Data Foundation, and organizational capability building.

Responsibilities in AI and Data Product:
- progressed the Microsoft Fabric initiative from concept into implementation, helping shape the platform, governance model, and operating principles

Key Responsibilities & Projects:

- Spearheaded multiple mission-critical projects to deliver real-time data insights for auditors firm-wide, tracking the progress of audit engagements.
- Developed robust data pipelines utilizing Python, web scraping, and APIs to gather and integrate data from various sources.
- Led the development of Python-based APIs to interact with internal databases, enablin

Developed a mapping algorithm to match internal data with reporting to officials. Built multiple API endpoints for internal databases.

Key Responsibilities & Projects:

- Led a team of student workers in designing and implementing data warehouse architecture, enhancing data storage and retrieval capabilities. Implemented Python-based data pipelines for automating data ingestion and processing workflows.
- Provided on-the-go data analysis support to the sales department, delivering actionable insights to drive strategic decision-m

Key Responsibilities & Projects:

- Developed a forecasting model for a metric used in financial planning for Fulfillment Centers (FCs), utilising machine learning techniques such as random forest. The model provided valuable insights for capacity planning and resource allocation.
- Implemented a CI/CD pipeline using Azure DevOps for seamless database deployment to SQL Server, streamlining the dev

Key Responsibilities & Projects:

- Led a team of student workers in designing and implementing data warehouse architecture, enhancing data storage and retrieval capabilities. Implemented Python-based data pipelines for automating data ingestion and processing workflows.
- Provided on-the-go data analysis support to the sales department, delivering actionable insights to drive strategic decision-m

Key Responsibilities & Projects:

- Developed Python-based robotic process automation (RPA) solutions to automate data entry tasks across various platforms, including websites, PDFs, and word forms. Facilitated migration of RPA code to different input data formats and set up API calls to databases for seamless data retrieval.
- Conducted data analysis for dynamic pricing projects, leveraging stati

Projects:
- Organized weekend long data science hackathon for university students on the topic of data-driven marketing (2018, 2019).
- Data explorations in SQL, data visualizations in Tableau and business presentations.

How I got here: During my second year of my bachelor's degree I decided to find a summer internship. I was looking for a way to grow, gain experience and apply knowledge from u

Included courses in machine learning (NLP, deep learning, probabilistic ML, online and reinforcement learning, recommender systems), signal and image processing, discrete models, regression, computational statistics.

Included courses in linear algebra, algebra, mathematical analysis, descriptive geometry, measure theory, probability, random processes and statistics.

Received full scholarship for a 2 year A level course.

Summer program for high school students where topics of international relations, diplomacy and security were discussed. Included extended research project focused on U.S.-China relationship, diplomatic simulation, lectures and seminars.