zeerakata

Led go-to-market strategy for a Web3.0 market-making platform, surpassing initial adoption targets by 40%. Developed data-driven content for Web3.0, using crypto sentiment analysis to boost campaign engagement by 35%. Analyzed blockchain transaction data to identify high-value segments, increasing user acquisition by 25%. Optimized onboarding using Tableau and blockchain analytics , raising retention by 20% in the first three months. Automated A/B testing with AI to enhance ad conversions, cutting acquisition costs by 15%. Built a dashboard to monitor tokenomics, supporting liquidity and user engagement with real-time insights. Created educational content that drove a 30% increase in first-time transactions. Implemented Stable Diffusion Al for marketing innovation by training Lora models.

Spearheaded data digitization initiatives, consolidating and automating data processes, leading to a 30% improvement in response time to customer inquiries. Supervised social media analytics and integrated insights to tailor campaigns, achieving a 13% increase in enrollment inquiries and a 7% rise in profitability. Introduced a live chat module, tracking engagement metrics and optimizing interaction workflows, enhancing customer satisfaction by 25%. Conducted print and social media effectiveness analysis across three cities, reallocating budgets based on data insights to boost brand visibility and traffic by 200%.

Boosted profits by 15% and sales by 10% YoY using data-driven marketing and targeted campaigns. Improved retention by 20% with CRM insights , refining loyalty programs and customer interactions. Increased efficiency by 14% through data-driven scheduling and optimized resource allocation. Cut food waste by 25% and raised high-margin item sales by 12% by analyzing sales data. Achieved a 30% rise in social media engagement, driving a 25% increase in online reservations. Enhanced campaign response rates by 35% with personalized, data-informed marketing. Boosted foot traffic by 10% through competitor analysis , refining pricing and promotions. Reduced stockouts by 40% and inventory costs by 15% with automated, data-informed restocking. Improved satisfaction by 20% via a data-driven customer service cell, resolving 85% of inquiries in 24 hours. Increased off-peak sales by 15% through targeted seasonal promotions. Used KPIs across marketing and sales to enable real-time adjustments and elevate customer experience.