Hi, I'm Keisuke Kudo.
Harnessing the power of technology to supercharge sales strategies, a visionary in driving sales through tech innovation.
About
As a professional excelling in technology and sales, I specialize in merging market strategies with advanced data-driven techniques. My expertise includes driving sales growth through technology, optimizing logistics with predictive modeling, and spearheading business planning initiatives.
My successful tenure in international sales at TRUSCO NAKAYAMA CORPORATION led to substantial market expansions, with notable achievements like a 347% increase in annual sales. Additionally, my keen interest in technology has driven me to develop innovative logistic solutions, significantly reducing operational costs.
- Languages: Python, JavaScript, HTML/CSS
- Tools & Technologies: Git, VS Code, ERP Systems, Business Intelligence Tools
- Interests: Advancing in Computer Science, AI & Data Science Applications
Experience
- Led market expansion to the Philippines, achieving a 347% increase in annual sales.
- Initiated a client-focused product selection project, utilizing deep customer insights.
- Analyzed sales data targeting similar customer profiles for strategic decision-making.
- Improved ocean transport efficiency up to 91.1% for diverse, heavy items, enhancing container usage.
- Developed a cargo placement tool by analyzing logistics algorithms, reducing transportation costs by 65%.
- Technical Skills: Data Analysis, Predictive Modeling, Logistics Optimization
- Developed a predictive model to forecast future sales using Business Objects, leading to a 10% increase in the order rate.
- Spearheaded the ERP system renewal initiative, enhancing team proficiency and system utilization.
- Analyzed past order data, transitioning a major client to 9 manufacturers, boosting annual revenues to $1.1 million.
- Enhanced workflow efficiency by implementing a ranked inventory shipment allocation system, improving inventory management efficiency by over 50%.
- Led a data analysis project to investigate historical misdelivery incidents, resulting in a strategic layout redesign and improved operational efficiency.
Technical Skills
Languages
Python
JavaScript
HTML5
CSS3
Libraries
NumPy
Pandas
matplotlib