Nilesh Gode

Sales and Service SAC Dashboards:

• Developed global sales and service SAC dashboards utilized by SBU heads, market management, and business development teams across X countries/regions, enabling real-time data-driven decision-making.
• Increased reporting efficiency and data accessibility by 35%, empowering leadership to track sales performance and identify market opportunities faster.
• Supported a revenue pipeline of $10 million through enhanced data visibility and actionable insights.

Automation of Monthly Market Reports:

• Automated monthly reporting processes for multiple market teams, reducing report generation time by 16 hours per month, saving an estimated 0.5 labor hours annually.
• Streamlined data consolidation for market management teams across global markets, enhancing data accuracy and consistency.

Instrument Usage Global Statistics & Data Engineering Pipeline:

• Engineered a global data pipeline aggregating instrument usage data from instruments across global locations, facilitating data-driven service strategies.
• Provided R&D and service teams with actionable analytics that reduced instrument downtime by 10% and improved maintenance scheduling accuracy by 20%.
• Helped identify key applications and usage patterns contributing to a 15-20% improvement in customer satisfaction or service effectiveness.

ML Models for Inventory & Maintenance:

• Developed and deployed machine learning models on sales and service data to predict inventory needs, enabling a reduction in stock-outs by 15% and lowering excess inventory by 10%, resulting in cost savings annually.
• Implemented predictive and preventive maintenance models that decreased unplanned downtime by 10%, improved equipment availability by 15%.

Built an enterprise-grade Generative AI knowledge application integrating SharePoint data, enabling employees to upload documents, perform multi-language translation, SEO optimization, and interactive chat.

• Increased employee productivity by 20% by reducing time spent searching for information across disparate systems.
• Achieved 30% adoption rate across departments within 6-9 months, enhancing internal knowledge sharing and decision-making speed.
• Enabled localization with automatic translation, expanding accessibility for global teams and improving cross-region collaboration by 20%.
• Implemented robust data governance and security protocols ensuring zero data leaks or unauthorized access, thereby safeguarding sensitive organizational data while preventing exposure outside the company.

• Managed data science projects for prestigious clients like Accenture and L&T.
• Contributed significantly to the model development process, collaborating effectively with cross-functional teams on dedicated modules.
• Provided technical expertise by assisting with algorithm script development.
• Mentored junior data scientists, fostering their growth through education and training.
• Ensured project quality by implementing code verification and validation procedures throughout the entire model building lifecycle.

• Designed and delivered AI and ML curriculum, ensuring students stayed abreast of the latest advancements in the field.
• Mentored and guided students in their AI and ML projects, fostering a collaborative and innovative learning environment.
• Organized seminars and workshops to enhance students' understanding of AI and ML concepts and applications.