Ismail Erdinc Uzunlu

• Led end-to-end data projects using Python (Pandas, Seaborn), SQL, and Excel to analyze

CRM, churn, and fund operations data — improving data accuracy by 25%.

• Developed and deployed machine learning models for churn prediction and executed

RFM-based customer segmentation, contributing to a 15% improvement in retention

strategy targeting.

• Designed and launched interactive dashboards and automated reporting flows,

reducing manual workload by 10+ hours per week using n8n and API integrations.

• Partnered with marketing and finance teams to deliver actionable insights, streamlining

campaign analysis and customer profiling.

• Cleaned and maintained large structured datasets, ensuring consistency and reliability

across monthly performance reports.

• Documented processes and collaborated using Git, enabling reproducibility and faster

onboarding for new team members.

• Successfully completed a 4-month internship, acquiring practical experience in the banking

sector and gaining insight into daily operational processes.

• Prepared, organized, and archived daily reports, ensuring accurate documentation and

contributing to enhanced team efficiency.

• Consistently achieved both short-term and long-term objectives, showcasing reliability and

dedication in a dynamic, fast-paced environment.

• Led landscape improvement projects in Corsica, enhancing public green spaces and community gardens.
• Collaborated with local teams to promote environmental sustainability and increase community engagement.
• Organized 5+ workshops on conservation and sustainable practices, reaching over 100 participants.

• Contributed to archaeological excavation and artifact preservation projects in Spain, working collaboratively with international teams to protect and document historical heritage.
• Gained hands-on experience in meticulous data collection, artifact cleaning, and cultural preservation techniques.