Analytics professional with 10+ years of experience in utilizing advanced analytical tools, data science methodologies and project management skills to derive actionable insights supporting strategy, marketing and product development.
Also, adept at prioritizing and managing development of digital data products that exceed customer satisfaction while focusing on revenue maximizing objectives to meet business goals using Agile framework.
Experience Overview:
Data product development(Product Owner), Project Management (Agile, SCRUM), Data Analysis (Data Mining, Data Modeling), Machine Learning (Statistical model development, Algorithm Development), Operational Research (Mathematical programming, Optimizations), Enterprise Data Warehousing (Data Lakes, Data Marts), Business Intelligence (Reporting, Dashboarding, NLP Querying, Visualization), Statistical inference (Hypothesis testing, A/B Testing, Frequentist methods, Bayesian methods), Lean Six Sigma & Baldrige Excellence framework.
Industry:
Life sciences, Pharmaceuticals, Digital Healthcare, Medical devices, E-commerce, Healthcare.
ERP & Technical eco-systems:
MS SQL Server, Oracle ERP, Azure, Google Cloud Platform, AWS, Hadoop, SAP, MS Access, IMS Health database.
Project Management tools:
Atlassian (JIRA, Confluence, BitBucket), Miro – Whiteboard, Microsoft (MS Project, MS planner & Dynamics 365).
Data and Analytics Tools:
Power BI, Tableau, Azure data Factory, SAP Crystal Reports, Cognos, SAS Miner, Minitab, PowerPivot, Google Analytics, GTM, Amplitude, Appsflyer, App Annie, Firebase.
Data and Analytics Languages:
MS SQL, T-SQL, R, Python, R/Jupyter Notebooks, Hive, DAX.
System:
Mobile Apps, Web/E-Commerce, ERP