Business Analyst Tableau

Bharat Chandra Gada

**** ***** **** ******

Halifax NS, B3J2K9

Cell: 902-***-****

Email: ***********@*****.***

Work Authorization: Co-Op Work Visa

LinkedIn: linkedin.com/in/bharatgada

OBJECTIVE A Data/Business Analyst Co-op position where I can contribute my skills to the success of the organization

EDUCATION Cape Breton University, Sydney, NS April:2023 Post Baccalaureate Diploma in Business Analytics Grade:85.8% Amrita Vishwa Vidyapeetham, Bangalore, KA, India December:2019 Bachelor of Technology Electronics and Instrumentation Engineering Grade: 5.74 TECHNICAL Languages : SQL, Python

SKILLS Database : MySQL

Applications : MATLAB (Image Processing), NI Lab VIEW Tools : MS Office (Excel, Word, PowerPoint), Tableau Desktop, Tableau Prep, Draw.io ACADEMIC Movies on Online Streaming Platform, Data Visualization Fall 2021 PROJECTS

• Dataset with Movie data from Netflix, Prime video, Hulu, and Disney from Kaggle was used.

• Tableau Prep Tool was used to clean the data by doing String operations, Deriving Additional columns etc.

• Tableau Desktop was used for Visualizing the data by creating various Worksheets, Dashboards and Stories.

• Created Tableau dashboards using stack bars, bar graphs, scattered plots, geographical maps, Pie charts etc.

• Experience in Configuring Interactive Dashboards with Drill-Down capabilities using Filters, sets, groups, calculated fields, parameters, bins, sorting etc. and Dashboard prompts.

• Created Complex workbooks and Dashboards by connecting to multiple data source using data blending.

• Using Multiple Measures like Individual Axes, Blended Axes, and Dual Axes.

• Used Sheet filters to produce multiple chart types in a single view. E-Commerce, Data Base Concepts Summer 2021

• This project focuses on designing database for ecommerce industry.

• It covers all key aspects of operations starting from customers, products, sales, supplier, warehouse, and orders.

• Draw.io was used to build Entity relationship diagram and Relational Data Model.

• Excellent ability in Logical and Physical Data Model creation.

• Designed SQL EER Diagram using attributes, entities, primary & foreign keys relationships.

• Created the MYSQL database based on the ER diagrams.

• Normalized the data base to ensure data integrity and minimize the redundancy.

• Queries were imposed according to the business problem using SQL.

• Expertise in using SQL joins, stored procedures, and functions. Development of Lung Cancer Detection Using Image Processing Spring 2019

• In this project, Image Processing was done using MATLAB. Mainly concentrated on developing an image processing analysis for the detection of the Lung cancer.

• In the Pre-Processing the input images are taken from NIH/NCI, Lung Image Database Consortium (LIDC) dataset that provides the chance to do the research.

• Image pre-processing was used to remove noise in order to obtain noise free image for further processing.

• Later, segmentation was done using K-means clustering where this technique automatically divides the image into number of clusters it requires.

• Features are extracted from the segmented images. Some of the features are selected and given to neural network training and thus accuracy was obtained.

• As artificial neural networks are used and got more accuracy than the results given by some of the other methods.

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