Open to opportunities

Dina Tesfay

@dinatesfay

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Results-oriented Senior Data Analyst and Data Scientist.

United Kingdom

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What I'm looking for

I am looking for a role that fosters a data-driven culture, offers opportunities for mentorship, and allows me to leverage my analytical skills to drive strategic business decisions.

I am a results-oriented Senior Data Analyst and Data Scientist with a proven track record in transforming complex datasets into strategic business insights. My experience spans marketing, advertising, and cloud environments, where I have honed my expertise in data storytelling, stakeholder engagement, and scalable analytics solutions. I am passionate about enabling data-driven cultures and mentoring junior analysts to elevate team capabilities.

Throughout my career, I have developed a strong background in dashboard development, automated reporting, and data governance. At M&C Saatchi World Services, I led cross-functional analytics projects, mentored junior data scientists, and acted as a key data liaison for stakeholders. My efforts in automating reporting processes using Python and SQL have significantly reduced manual workloads and improved operational efficiency.

With a solid foundation in analytical tools and techniques, I leverage SQL, Python, and AWS to optimize decision-making and drive operational excellence. I am committed to translating technical findings into actionable business recommendations, ensuring that data insights lead to impactful strategies.

Experience

Work history, roles, and key accomplishments

Data Scientist Level 2 and Engineer

M&C Saatchi World Services

Oct 2023 - Present (1 year 8 months)

Managed and mentored junior data scientists, overseeing project lifecycles, task delegation, and providing technical guidance. Acted as key data liaison for stakeholders, providing insights that improved decision-making and operational efficiency. Led AWS risk assessment, cutting security vulnerabilities by 40% and achieving 95% compliance.

SQL Python AWS Power BI Data Visualization Mentoring Stakeholder Management Risk Assessment

Data Scientist Level 1

M&C Saatchi World Services

Oct 2021 - Present (3 years 8 months)

Managed analytics delivery across 5+ projects, serving as the main point of contact for data needs. Communicated insights clearly to non-technical teams, shaping data-informed strategies. Standardized KPI reporting, reducing turnaround time and improving report accuracy.

SQL Python Data Analysis KPIs Data Strategy Project Management

Junior Data Scientist

M&C Saatchi World Services

Oct 2020 - Present (4 years 8 months)

Extracted and analyzed large datasets using SQL and Python to support business reporting. Built dashboards in AWS QuickSight to visualize key metrics for marketing and operations. Presented findings through written reports and stakeholder briefings, enhancing clarity and impact.

SQL Python QuickSight Data Extraction Data Visualization Business Reporting Data Analysis

Education

Degrees, certifications, and relevant coursework

University of Greenwich

MSc Data Science, Data Science

Activities and societies: Dissertation: (Argos Project) – A Comparison of Modelling Methods: Sales Forecast Volatility. Key Modules: Machine Learning, Cloud Computing, Data Warehousing.

Completed a Master of Science in Data Science, focusing on advanced topics such as Machine Learning, Cloud Computing, and Data Warehousing. My dissertation, the Argos Project, involved a comparative analysis of modeling methods for sales forecast volatility.

University of Greenwich

BSc (Hons) Computer Science, Computer Science

Activities and societies: Dissertation: Age Detecting Facial Recognition for Online Video Games. Key Modules: AI, Web Development, Operating Systems, Algorithms, Forensics. Vice President, Artificial Intelligence Society, University of Greenwich. Presenter, BCSWomen Lovelace Colloquium 2018 & 2019.

Earned a Bachelor of Science with Honours in Computer Science, covering core areas like AI, Web Development, Operating Systems, Algorithms, and Forensics. My dissertation focused on age-detecting facial recognition for online video games.