Personal details
Tatiana 🏳.
About
I am a Data Specialist with over 15 years of experience working at the intersection of data, digital analytics, and consumer behavior. My career began in social media, but has progressively evolved into a data-driven trajectory, where I leverage analytical skills to generate insights, support decision-making, and drive business impact.
Currently, I work with dashboard development and data analysis using tools such as Power BI and Google BigQuery, transforming complex datasets into actionable insights. I collaborate closely with data engineering teams to ensure data reliability and scalability, while also supporting stakeholders through clear and effective data storytelling.
Throughout my career, I have applied data analysis to optimize performance, measure campaign effectiveness, and understand user behavior across digital channels. At Shopee, I led a team focused on engagement and social listening, using data-driven strategies that resulted in a 32% increase in positive sentiment within three months.
My experience includes building and maintaining dashboards, writing SQL queries, performing exploratory data analysis, and applying statistical and analytical techniques to solve business problems. I also have hands-on experience with A/B testing, digital analytics, and business intelligence.
I have advanced knowledge of SQL and Python (Pandas, NumPy, Scikit-learn), as well as experience with Power BI, Tableau, Google Analytics, and other data visualization and analytics tools. My background in marketing and user behavior adds a strong business context to my analytical work.
Work Experience
Data Specialist, working for one year on projects for a U.S.-based client, focused on building, maintaining, and enhancing Power BI dashboards to support data-driven decision-making. Handled large-scale datasets in Google BigQuery, performing queries, analysis, and data adjustments in close collaboration with the Data Engineering team, ensuring data quality, consistency, and performance. Also provided technical support and mentorship to junior and mid-level team members, promoting best practices in data analysis, modeling, and visualization.
After this period, transitioned to the company's internal AI Products team, where I currently work with Databricks, Grafana, and Python to support the development and monitoring of data-driven AI solutions. Responsible for building and maintaining metrics and dashboards, ensuring data quality and reliability across environments, and collaborating with cross-functional teams to translate business needs into scalable technical solutions.
Freelance position monitoring and reporting all agency client metrics, as well as developing insights from the results. Serving clients such as Serasa, Wizard, CASIO, Epoch, Estrela Beauty, Unisa, among others.