nathes97

- Led the development, launch, and management of multiple tokens (memes and utilities), ensuring strong tokenomics and long-term viability. - Managed Key Opinion Leaders (KOLs) and influencer partnerships to drive brand awareness and community growth. - Built and nurtured online communities across platforms such as Discord, Telegram, and Twitter, implementing engagement initiatives such as airdrops and AMAs. - Developed and executed viral marketing campaigns leveraging memes and internet culture. - Provided data-driven insights using Python and SQL to analyze community trends and optimise marketing strategies. - Hosted VCs with Q&A sessions, acting as the bridge between investors and project teams. - Created visually engaging posters and marketing materials for investors branding and promotional efforts. - Developed investor-focused materials, including tokenomics frameworks and visually engaging promotional content.

- Communicated with Data Analysts, Business Analysts & stakeholders to understand needs and requirements to ensure that they get the data they need - Reduced time consumed by Data Analysts by automating the transformation required for their analysis. - Built and Documented ETL for event data with Python to transform the raw data and load it into MySQL and documented the processes. - Created Python functions to manipulate and transform data from various sources such as JSON and Excel Files and also used MySQL to create the Database Tables that the data will be going into.

- Evaluating complex datasets in order to identify, analyse and interpret trends and patterns. - Automated workflow, making it easier to automate the data for BI tools and reducing time for reporting. - Created visually impactful dashboards in Excel and PowerBI. Extracted, interpreted and analyzed data to identify key metrics and transform raw data into meaningful, actionable information. - Leading the project on utilising Google BigQuery for our analysis and to automate our reporting. - Automated weekly and monthly reports through Python. - Deliver on Key Reports and Data Visualisation strategies that directly support key business drivers. - Presented data and conclusions to team in order to improve strategy and operations to both a non-technical and technical audience.

- Created, maintained and troubleshooted reports through Tableau. - Utilised SQL to manipulate and extract data from large relational databases and presented findings through Tableau and PowerPoint. - Carried out validation with SQL queries to extract data from the Data Warehouse. - Successfully interpreted data in order to draw conclusions for managerial action and strategy.

- Gathered, analysed, and delivered data analytics requirements to business stakeholders. - Developed sales dashboards using SQL and Tableau to improve reporting effectiveness. - Created stored procedures with T-SQL and automated reporting workflows. - Conducted competitor analysis to enhance market positioning. - Presented key insights to stakeholders, helping drive business strategies.