Venkatesh

Years of Experience in BSc Tuition

3

Years of Experience in Class 10 Tuition

3

Years of Experience in Microsoft Excel Training classes

3

Years of Experience in Data Analysis Classes

3

Years of Experience in Data Science Classes

5

Teaching Experience in detail in Data Science Classes

• Analytics professional with 5 years of experience in Business Intelligence and Statistical Modelling. • A dynamic professional with a strong business acumen, academic background and exposure to statistical tools MS Excel, Advanced Excel, Tableau, SQL and PYTHON for data cleaning and statistical analysis. • Performed data mining, data cleaning & explored data visualization techniques on a variety of data stored in spreadsheets and text files using Python and visualizing the data with Tableau, Matplotlib and Excel. • Strong Knowledge on Python libraries (Numpy, scikitlearn, Matplotlib, Pandas, Tensor flow) • Understanding business problem, Data Exploration, Data pre-processing, Model Building, Model selection, Visualization and Reporting. • Experience in Data warehousing and Business Intelligence area in various domains like Retail and Health Care. • Strong knowledge on Machine learning methods like Linear Regression, Logistics Regression, Decision Tree, Naïve Bayes. • Basic Knowledge on Neural networks, image processing and Deep Learning concepts. • Used SQL server as data sources for designing Tableau Reports and Dashboards. • Provided customer support to Tableau users and Wrote Custom SQL to support business requirements • Used Advanced excel function for data cleaning, manipulating and visualization... Summarized the large amount of data using Pivot table. • Created dashboard designing with effective data visualization of large data volumes from various data sources (SQL Server, Spread Sheets, Google Sheets…) • Created numerous dashboards in Tableau Desktop based on the data collected from multiple sources by implementing and blending data from MS Excel, CSV files along with SQL Server Databases. • Created complex stored procedures, triggers, and views and other SQL joins. • Creation of metrics, attributes, filters, reports, dashboard. Created advanced chart types, visualizations and complex calculations to manipulate the data. • Creating the daily, weekly and monthly reports. analyse and transform data leveraging tools such as SQL Server, Excel and develop and execute SQL scripts to create data extracts and reports

Years of Experience in Tableau Training

5

Teaching Experience in detail in Tableau Training

• Used SQL server as data sources for designing Tableau Reports and Dashboards. • Provided customer support to Tableau users and Wrote Custom SQL to support business requirements • Used Advanced excel function for data cleaning, manipulating and visualization... Summarized the large amount of data using Pivot table. • Created dashboard designing with effective data visualization of large data volumes from various data sources (SQL Server, Spread Sheets, Google Sheets…) • Created numerous dashboards in Tableau Desktop based on the data collected from multiple sources by implementing and blending data from MS Excel, CSV files along with SQL Server Databases. • Created complex stored procedures, triggers, and views and other SQL joins. • Creation of metrics, attributes, filters, reports, dashboard. Created advanced chart types, visualizations and complex calculations to manipulate the data. • Creating the daily, weekly and monthly reports. analyse and transform data leveraging tools such as SQL Server, Excel and develop and execute SQL scripts to create data extracts and reports • Analyze the source data and handled efficiently by modifying the data types. Used excel sheet, flat files, CSV files to generated Tableau adhoc reports. Generated context filters and used performance actions while handling huge volume of data. • Created Tableau scorecards, dashboards using stack bars, bar graphs, scattered plots, geographical maps, Gantt charts using show me functionality. Worked extensively with Advance analysis Actions, Calculations, Parameters, Background images, Maps, • Building, publishing customized interactive reports and dashboards, report scheduling using Tableau server. Created action filters, parameters and calculated sets for preparing dashboards and worksheets in Tableau. • Worked extensively with Advance analysis Actions, Calculations, Parameters, Background images, Maps, Trend lines, statistics and table calculations. • Developed Tableau data visualization using Cross Tabs, Heat maps, Box and scatter plots, Geographic Map, Pie Charts and Bar Charts • Mastered the ability to design and deploy rich graphics visualizations with Drill Down and Drop Down menu option and parameters using Tableau.

Years of Experience in Data Visualization Training

5

Teaching Experience in detail in Data Visualization Training

• Analyze the source data and handled efficiently by modifying the data types. Used excel sheet, flat files, CSV files to generated Tableau adhoc reports. Generated context filters and used performance actions while handling huge volume of data. • Created Tableau scorecards, dashboards using stack bars, bar graphs, scattered plots, geographical maps, Gantt charts using show me functionality. Worked extensively with Advance analysis Actions, Calculations, Parameters, Background images, Maps, • Building, publishing customized interactive reports and dashboards, report scheduling using Tableau server. Created action filters, parameters and calculated sets for preparing dashboards and worksheets in Tableau. • Worked extensively with Advance analysis Actions, Calculations, Parameters, Background images, Maps, Trend lines, statistics and table calculations. • Developed Tableau data visualization using Cross Tabs, Heat maps, Box and scatter plots, Geographic Map, Pie Charts and Bar Charts • Mastered the ability to design and deploy rich graphics visualizations with Drill Down and Drop Down menu option and parameters using Tableau. • Used SQL server as data sources for designing Tableau Reports and Dashboards. • Provided customer support to Tableau users and Wrote Custom SQL to support business requirements • Used Advanced excel function for data cleaning, manipulating and visualization... Summarized the large amount of data using Pivot table. • Created dashboard designing with effective data visualization of large data volumes from various data sources (SQL Server, Spread Sheets, Google Sheets…) • Created numerous dashboards in Tableau Desktop based on the data collected from multiple sources by implementing and blending data from MS Excel, CSV files along with SQL Server Databases. • Created complex stored procedures, triggers, and views and other SQL joins. • Creation of metrics, attributes, filters, reports, dashboard. Created advanced chart types, visualizations and complex calculations to manipulate the data. • Creating the daily, weekly and monthly reports. analyse and transform data leveraging tools such as SQL Server, Excel and develop and execute SQL scripts to create data extracts and reports • Creating the daily, weekly and monthly reports and dashboards. • Strong Knowledge on Statistical concepts Like ( Measure of Central Tendency, Measure of Dispersion, Skewness, Kurtosis, Statistical Inference, Testing of Hypothesis, T-test, F-test, Chi square –test, Probability, Correlation And Regression analysis, Anova and Operation Research…Etc.) • Applying the Machine learning methods for forecasting the future. Conducted independent statistical analysis , descriptive analysis, hypothesis testing and logistic regression • Analytics professional with 5 years of experience in Business Intelligence and Statistical Modelling. • A dynamic professional with a strong business acumen, academic background and exposure to statistical tools MS Excel, Advanced Excel, Tableau, SQL and PYTHON for data cleaning and statistical analysis. • Performed data mining, data cleaning & explored data visualization techniques on a variety of data stored in spreadsheets and text files using Python and visualizing the data with Tableau, Matplotlib and Excel. • Strong Knowledge on Python libraries (Numpy, scikitlearn, Matplotlib, Pandas, Tensor flow) • Understanding business problem, Data Exploration, Data pre-processing, Model Building, Model selection, Visualization and Reporting. • Experience in Data warehousing and Business Intelligence area in various domains like Retail and Health Care. • Strong knowledge on Machine learning methods like Linear Regression, Logistics Regression, Decision Tree, Naïve Bayes.

Years of Experience in Microsoft Power BI classes

5

Years of Experience in SQL Programming Training

5