Deniz Doga Caliskan

-Developing data-driven sales strategies by analyzing customer insights and digital performance using SQL, Python, and Tableau, increasing engagement and platform efficiency. -Managing and analyzing customer and campaign data with SQL and Python to optimize lead generation and track key metrics. -Conducting exploratory data analysis (EDA) on market trends and customer behavior using Python to identify growth opportunities and actionable insights. -Providing data-informed consulting on content production and

-Budget calculations, forcasts, contract reviews and analysis of natural gas trade,evaluation and analysis Supporting development and optimization of processes and work flows -Managing and presenting the given project with teammates (steps of planning and operating energy) -Creating mathematical models and solving them with appropriate computer-based methods

-Led and coordinated various technical events, workshops, and seminars on power and energy topics to enhance industry-academia collaboration. -Managed and expanded the society’s membership base by organizing networking sessions and outreach programs. -Developed strategic partnerships with industry professionals and academic institutions to bring expert speakers and sponsorships. -Oversaw and guided the executive team in planning and executing initiatives, ensuring the successful implementation of society go

-Supported waste management and recycling processes, gaining hands-on experience in sustainable environmental technologies. -Assisted in R&D and production processes, contributing to projects focused on environmental sustainability. -Conducted on-site analysis of waste segregation and energy recovery systems. -Collaborated with the team to prepare technical reports and support process improvement initiatives in environmental technologies.

• Project-based, Practice-oriented, Collaborative training • Data Analysis, Data Visualization, Data Collection with Python • SQL Querying and Database Modelling • Data Storytelling with Tableau • Cloud Computing and Automation • Supervised and Unsupervised Machine Learning