Jasline Gati

I am a data professional with experience in both Data Engineering and Data Science roles. In my previous role as a Data Engineer at DSP-Explorer, I built scalable and reproducible data pipelines to support data ingestion from various sources to Power BI for analysis. I collaborated with cross-functional teams to extract, transform, and load data from various sources and worked on Power BI reports with a wide variety of data such as financial information, cloud security scores, and customer support tickets. I also reviewed and created documentation for data integration and publication tasks.

In my previous role as a Data Scientist at Everizone, I wrote ad-hoc SQL queries to retrieve and analyze data for various departments. I developed and executed Python scripts for statistical and non-statistical analysis of large datasets, including data cleaning, feature engineering, and modeling. I collaborated with cross-functional teams to identify key business questions and translate them into actionable insights using data analysis. I used Power BI to create interactive and visually appealing dashboards and reports, showcasing key performance indicators and highlighting trends and anomalies.

Overall, I am passionate about using data to drive business decisions and help teams make better decisions, faster. I have experience in various data tools such as SQL, Python, Power BI, and Looker and am always looking to learn and stay up-to-date with the latest trends and best practices in data science and analytics.
 

In my previous role as a Data Scientist at Everizone, I wrote ad-hoc SQL queries to retrieve and analyze data for various departments. I developed and executed Python scripts for statistical and non-statistical analysis of large datasets, including data cleaning, feature engineering, and modeling. I collaborated with cross-functional teams to identify key business questions and translate them into actionable insights using data analysis. I used Power BI to create interactive and visually appealing dashboards and reports, showcasing key performance indicators and highlighting trends and anomalies.

Overall, I am passionate about using data to drive business decisions and help teams make better decisions, faster. I have experience in various data tools such as SQL, Python, Power BI, and Looker and am always looking to learn and stay up-to-date with the latest trends and best practices in data science and analytics.
 

Masters in data science and analytics from the university of hertfordshire