🔷 Data Science enthusiast with over 2 decades of work experience with a major portion of it dedicated to data analytics, statistical modelling, forecasting, business analysis, data analysis and predictive analytics for fortune 100 to 500 organisations. 🔷 Founder of the Data Dojo analytics awareness website where I focus to share complex analytics routines in an easy to understand language, I am also a freelance data analytics mentor and trainer. 🔷 Highly Successful in enabling organisations leveraging structured and unstructured data to design and implement analytical products focused to drive process improvements and generate ROI. 🔷 Highly skilled in Microsoft Business Intelligence stack (SSIS, SSAS, SSRS, Azure ML Studio, Power BI). 🔷 Tableau Data Science certified professional with expertise in Tableau Desktop, Tableau Reader, Tableau Server. 🔷 Results-driven and highly motivated Technical Professional who combines hands-on experience with a solid educational background in Business Analytics / Project Management. 🔷 Hands-on with integrating AzureML workflows with Power BI for real time predictions 🔷 Strong skills in Data Mining, Ad-hoc Analysis, Reporting, developing analytical applications using Microsoft SQL Server and statistical software packages Minitab. 🔷 Hands-on with Artificial Intelligence based Chatbot development frameworks such as Google Dialogflow, Botsify and IBM Watson Assistant. 🔷 Solid understanding and knowledge of Machine Learning techniques - Regression, Decision Tree, Associations, K-Nearest Neighbors. 🔷 Proficiency in Data Warehousing concepts including Data Mining, Data Modeling, Extract, Transform Load (ETL). Technical Skillset: 📣Programming: SQL, Python, R, DAX 📣Machine Learning Workflow Tools: Azure ML Studio, H2O.AI, RapidMiner, Knime, Orange Canvas 📣Databases: MS SQL Server 2012/2014, MS Access 📣Operating systems: Windows 98/XP/Vista/7/8/10, Mac OS X 📣Business Intelligence Tools: SAS Enterprise Miner 13, Tableau, Power BI, Power View, MS Excel. Atoti, Mito 📣Tools used: SQLite, PostgreSQL, PyCharm, Anaconda3, Jupyter lab, Jupyter Notebook 📣Data Science Toolset: Pycaret, RShiny, SciKit Learn, Numpy, Matplotlib, OpenCV, Tiny Yolo, Rattle, Deducer 📣Data Visualization Tools: Plotly, GGplot2, Seaborn, Esquisse Publications: 📣Published a book on statistics “Statistics for Rookies 📣Published two research papers on novel analytics ideas that revolves around fraud detection and data normalization. 📢I have worked in various capacities Head of Training - SBA - Service Delivery Leader.