As an experienced and passionate Data Analyst with a background in computer science and business administration, I have been able to identify efficiencies and problem areas within data streams while effectively communicating the needs for projects. With 3 years of experience in analyzing data from multiple sources, including Python, SQL, R, and Excel, I have honed my ability to synthesize quantitative information and interact effectively with colleagues and clients. I have had the opportunity to work on various projects that involve processing a large amount of data. In my previous role at hepster, I was responsible for the conception and implementation of continuous product, market, and competition analysis. Additionally, I took on the responsibility of creating dashboards in Power BI and optimizing the marketing datasets by scraping and ingesting them into the DWH. During my time at Doordash, I played a vital role in SQL optimization and created different visualizations using Looker and My-maps. I also performed web scraping to support the sales associates in finding leads, cleaned and modeled existing Pipedrive data, and compared it with the scraped data to get rid of duplication in the system. As a Business Intelligence Analyst at Zenjob GmbH, I performed various SQL coding to extract data to the Tableau extract from Mara and Redshift databases, created dashboards on Tableau and Metabase, and helped to create a smooth workflow within the company by using agile methodology. I also performed various hypotheses and A/B testing and ran the classification model. During my Data Analytics Consulting Virtual Internship at KPMG, I merged data with existing data sets, organized and analyzed data and marketing results, and created dashboards using Power BI. In my previous role as a Data Specialist at Cloudfactory, I researched and resolved data discrepancies with troubleshooting teams to perform machine learning algorithms. I also performed detailed data validation spanning across several different international projects and fed clean data into the machine learning model. I have a background of MBA and Computer Science degrees. I have also completed various courses, including the Google Data Analytics Professional Certificate, IBM Data Science Professional Certificate, and Data Analyst with SQL track from Datacamp. I am a highly motivated and results-driven individual who is always seeking new opportunities to learn and grow. With my strong analytical and problem-solving skills, I am confident that I can make a valuable contribution to any team.