Performance Improvement in Analytics and Data Science- Analytics CoE setup and process execution- Built a comprehensive playbook for analytics implementation with details across 7 key dimensions - Developed a digital diagnostic assessment for the assess the current state of analytics adoption - Managed Analytics use case portfolio and solution architecture- Developed a catalog of analytics solutions to improve business performance and cost savings- Designed analytics solution architecture on Azure Databricks and managed the execution use cases using Azure collaboration platform to ensure scalability for potential solutions- Developed predictive analytics tool (~80% accuracy) for sales lead conversion and revenue projection- Performed hypothesis testing on the various business scenarios to develop statistical models- Embedded dashboard using Azure Web App with standard user access management within the organization- Built end to end Lead Conversion Tool, and Cashflow Forecasting Tool to aid Finance Process Transformation- Ideated use cases across the text analytics spectrum and developed the proof of concepts to test the feasibility- Developed hypothesis and analysis for effective channel identification for retail clients via text analytics- Created a predictive analytics tool with visualization on sales lead conversion and projected revenueIndustries: Retail (Luxury & FMCG), Pharmaceutical, IT services/Product development, Banking/FinanceFunctions: Marketing, Sales, Finance, Human Resources, Supply chain, LogisticsPrimary skillset- Statistical modeling using R, Python, Excel, VBA, Business Transformation, Power BI, Tableau- Azure cloud services – Web App, Databricks, Workday, Product design & management, Analytics solution architectureSecondary skillset- Stakeholder management, Project management & economics, UI/UX Design

Performance Improvement in Analytics and Data Science

Data Scientist, Operations Analytics▪ Developing predictive & prescriptive models and delivering suggestive actions on key business metrics▪ Providing KPI definition alignment, identifying data sources & providing business logic for computation▪ Articulating analytics proposition to business stakeholders, and identifying use-case opportunities▪ Defining metrics for monitoring model effectiveness to periodically track and review model performance▪ Translating business needs into analytic strategies, and channeling business insights into model designProject Manager, Supply Chain Management & IT▪ Identifying scope for automation and implementing technology solutions in IT service delivery to business▪ Handling cross function teams & service partners in delivery of dashboards and utility tools to stakeholders

Consultant, Artificial Intelligence/Machine Learning domain- Assessed the performance of Indian 2-wheeler industry and developed business intelligence reports - Performed secondary research on AI/ML, strategized future prospects on adoption, implementation- Adopted key learnings to automobile, retail and agriculture industries and developed use cases on prospects- Performed feasibility study for solutions and proposed roadmaps for strategic enhancement

- Designed, developed, and published websites & voluntarily created proof of concepts on frameworks - Proficient in HTML/CSS/JS/JQ, RWD- Enhanced the accessibility of client's website to support access using mobile phones and tablets - Improved the user support capacity by 15% by implementing cross-browser compatibility standards- Rated excellent by Campus Associate Trainees for training and mentoring sessions conducted