Vishnu Subramanian

Technologies / Skills Applied

- Data Science / Python Programming on Jupyter Notebooks

- 3+ yrs leading teams of 5-10 Data Scientists

- Outstanding spoken/written communication skills, inter-team collaboration, leadership skills, workflow development, code review and business problem solving

• Led the design and development of Data Science, ML and AI-oriented learning products through a team of 12 (in partnership with MIT, UT Austin and other prestigious universities) that average a revenue run rate of $2.3 million per month and have a 40+ Net Promoter Score on average.
• Contributed to Research & Development initiatives incorporating Large Language Models and Generative AI solutions into products aimed at improving employee productivity and customer satisfaction.
• Conducted 20+ live virtual class webinars for over 1000 learners on various topics ranging from Data Science, Machine Learning, Deep Learning to Large Language Models and Generative AI
• Awarded Employee Stock Options worth over $60,000 in recognition of significant contributions to the organization

Technologies / Skills Applied

- Postgres SQL Management & Querying

- PowerBI Data-driven Dashboard Development

- Python Programming & Script Execution for Data Pipelines & Data Science Workflows

- Inter-team Communication, Stakeholder Management & Business Problem Solving

• Established an on-prem PostgreSQL Data Repository for multiple databases of over 100 GB critical to the organization
• Led the development of a Python-based data pipeline to automate the extraction and storage of multiple sources of healthcare data
• Developed real-time data-driven dashboards on Microsoft PowerBI based on organizational data pipelines for internal & external stakeholders

Technologies / Skills Applied

- Python Programming & Jupyter Notebook development for Data Science

- Strong interpersonal communication, critical thinking and business problem solving

• Developed an internal Price Predictor application to forecast steel pipe prices based on product specs and external factors such as raw material market prices and social media text, that achieved MAE < 10% and saved 60+ days in the business operations cycle
• Developed an internal HR chatbot for employee usage based on Rules-based Logic and Deep Learning / NLP techniques

Technologies / Skills Applied

- Data Analysis with Python and MS Excel

- Business Problem Solving with clear inter-team stakeholder communication

• Collaborated with business-unit leaders to identify and prioritize problems.
• Performed responsibilities such as Denied Parties Screening, Commercial Invoice Review and Approval of Freight Payables