Sunil Kappal

Background

About Sunil Kappal

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.