Ganesh Kumar Murugandi
linkedin.com/in/ganeshkumar24 ****************@*****.*** 512-***-****
Education
The University of Texas at Dallas Aug ‘16 – Dec ‘18
M.S., Business Analytics
Sastra University Aug ‘09 – May ‘13
B.S., Information Technology
EXPERIENCE SUMMARY
I’ve around 4.5 years of experience performing data analysis, design, development, and Implementation of Business Intelligence Projects using Python, Tableau & Informatica
Have used Tableau data visualization tool to analyse and obtain insights from large datasets & create visually compelling and actionable interactive reports and dashboards
Have good understanding and used statistical methods, data warehousing and Project Management techniques during several projects
Have written complex SQL queries and optimized the queries in Oracle, SQL Server and Teradata
Have good experience in programming, statistics, and analytics. Excellent understanding of business operations and analytic tools for effective analysis of data
Have good experience working with Data Analytics, Data Reporting, Ad-hoc Reporting and PivotTables
I’m passionate, collaborative & result-oriented analyst with knowledge across data warehousing, data transformation, data visualization and data analysis.
Intermediate proficiency with SQL, Tableau, Python, SDLC and Agile methodology
Have extensive experience in Data Visualization including producing tables, graphs, listings using various procedures and tools such as Tableau
Have worked and extracted data from various database sources like Oracle, SQL Server, DB2, accessing JIRA tool and other internal issue trackers for the Project development
I’m very knowledgeable in transforming raw data into actionable strategic knowledge to gain insight into business using statistical analysis processes
I’m highly knowledgeable in Networking and Linux and providing support to customers in need
Have good understanding of SQL Server and Oracle Architecture in terms of ETL and query processing, structure and performance and table partitions
Have experience working in Healthcare, Banking and Transportation domain
Have good knowledge Data Model with a deep understanding of developing transactional enterprise data models that strictly meet normalization rules
Skills
Data Visualization
Tableau 9.x, 10.1, Power BI, Seaborn, Matplotlib, Pivot Table and Chart
Python Libraries
Pandas, SciPy, NumPy, Seaborn, SciKit Learn
Language & scripting
Python, SQL, JSON, Java, bash Shell scripting, Power DAX Query
Database Tools
Microsoft Access, My SQL, SQL Developer, SQL Server, Oracle 10g,
Tools
Erwin, Jira, MS Excel, EC2, STATA, Jupiter Notebook, MS Office, Selenium
Extract Transform Load (ETL)
Informatica 9.x,10
Certification
Google Analytics, Google Adword
Subject Matter
Statistics, Advanced Excel, SEO, UML, AWS, Data Analysis and Modelling, Marketing
Professional Experience
Primoris System
Client: Odoo
Data Management Analyst (Tableau Developer) June ‘ 20 to Feb ’21
Project Summary
The objective of the project is to manage client relationships while implementing Odoo SaaS solutions. Analyse all aspects of clients' business operations to map their processes to Odoo's solutions. Quantify the resources required for the implementation of their business solution
Responsibilities
Created Interactive Tableau Dashboard after gathering and analysing the data from the warehouse to illustrate the metrics of the business process
Created a data mart from the warehouse using Informatica to transform data using Transformation like Source Qualifier, Expression, Joiner and Filter transformation for generating report
Involved in gathering, analysing the information, documenting the business requirement
Developed interactive Tableau visualizations after gathering Business Requirements to illustrate KPI and Performance metrics of the business processes.
Created and updated project schedules using automated project management software
Identified the project risks and issues and supported team members in creating and executing mitigation plans
Extracted data from the database using Excel/Access, SQL procedures and created Python datasets for statistical analysis, validation and documentation
I’ve used drill downs, filter actions and highlight actions in Tableau for developing dashboards in Tableau
Responsible for building and maintaining effective working relationships with business teams, as well as other external vendor and customer data management team
Identified inconsistencies in data collected from different sources and worked with business owners/stakeholders to assess business and risk impact, provided solution to business owners
Manipulating the data using excel, Access to ensure data quality
Compiled data from multiple data sources used SQL and Python packages for data extraction, loading and transformation
Environment: Oracle Database 11g, Oracle BI tools, Tableau, MS-Excel, Python, MS Access, JIRA, SQL
owners/stakeholders to assess business and risk impact, provided solution to business owner
Premier Inc, Charlotte
Client: University Hospitals
Project Data Analyst Nov ‘19 to May ‘20
Project Summary
The objective of the project is to improve the business processes of the university hospitals by figuring out the ways to improve their daily practises by implementing ways to generate patients reports effectively
Responsibilities:
Performed several roles across technology, budgeting and project management status using Tableau and MS Excel
Prepared weekly and monthly project status reports using JIRA and SQL and delivered it to appropriate project team members and stakeholders.
Analysed and provided documentation for transforming existing data from legacy applications and loading of this data into a new target application environment.
Collaborated with the development team to analyse and understand business or user requirements to create detailed database design models as well as write programming code using SQL for applications to interact with databases
Hands on experience working with MS Access to create database, tables defining the relationship, write sql queries and to create report
Identified the data integrity issue and assisted in prioritizing and developing plan to improve data quality
Ability to carry out priorities in an organized and efficient manner
Documented, tracked, and updated risks, issues, and change requests. Created and executed project work plans and revised as appropriate to meet changing needs and requirements
Worked with product owner to understand the business needs and help translate into story backlog
Have experience in writing technical documentation. Managed the workflow of the timesheet entry process to ensure the quality.
Developed documentation and presentation material to communicate project status and plans. Involved in troubleshot, coordinate and maintenance of production applications
Documented the plan for migrating data from Oracle to Teradata system and helped the team to efficiently develop ETL jobs which reduced the budget cost by 5 % per sprint.
Environment: Python 2.x/3.x, SQL (Structured Query Language), Jupyter Notebooks, Jira Tableau Desktop, Excel Pivot Table, MS Access and Oracle database
Dikita Enterprises, Inc, Dallas
Client: Dallas Area Rapid Transit Network
Jr. Research Data Analyst Jun ’17 to Nov ‘19 (18 months)
Project Summary
The objective of the project is to derive insight from the survey data collected and provide actionable insight to the management team. To improve the efficiency of the transit service by providing detailed actional insights
Responsibilities:
Worked extensively with databases related to transit projects, analysed data patterns and ensured data quality is attained.
Performed data analysis on survey data using Regression and Classification machine learning algorithm on Jupyter notebook using python to infer insights related to day-to-day ridership counts and revenue generated.
Performed data analysis and provided recommendations for developing strategies that lead to an increase in revenue by 7% and passenger count by 5%.
Evaluated various types of datasets by performing machine learning models using algorithms and statistical modelling techniques such as Classification, Regression, Decision trees using Python libraries.
Performed Data Cleaning, features scaling, features engineering, feature prioritization using pandas and NumPy packages in Python
Analysed data using statistical techniques to identify, analyse, and interpret trends or patterns to gain insight
Ensured data quality is maintained by removing duplicates, imputing missing value while pre-processing the data. Prepared digital marketing campaign report
Created visualization using Tableau using charts and shared it with internal and external stakeholder.
Involved in the marketing campaign for the pilot bus service
Handled anomalies in the data - removing duplicates, imputing missing values and treating null values using Python Scikit- learn
Performed Industry analysis and forecasting of trends
Collaborated with other teams to identify, assess their data need, design, build and present appropriate output
Performed data manipulation, data preparation, normalization, and predictive modelling. Improve efficiency and accuracy by evaluating model in Python
Performed ETL data extraction, transformation, cleansing and preparation of analytical datasets from structured formats such as RDBMS tables, Excel, CSV files
Helped to identify that the newly added route generated less than forecasted revenue in Plano county and provided vital insights on updating the route to be profitable.
Environment: MS SQL Server, SQL Enterprise Manager, Python, MS Excel, Tableau, MS Access, MS office, MS Word, MS Power point Outlook, Jupyter notebook, Informatica
Tata Consultancy Service, Chennai
Client: Lloyds Bank
System Engineer (Analyst) Aug ’13 to Oct ‘14
Project Summary
The objective of the project is to provide services to Lloyds bank to help them improve the efficiency of the online banking process. Provide support services and implement additional features to the system
Responsibilities
Provided maintenance support for the Lloyds banking software used by millions of users to create account, open overdraft.
As a part of servicing support team, helped end users by resolving the issues faced by them while performing operations such as opening new accounts. Performed a vital role in improving the usability of banking software
Involved in various activities of the project like information gathering, analysing, documenting the functional or business requirements.
Performed Gap Analysis to identify the deficiencies of the current system and to identify the requirements for the change in the proposed system.
Designed Fact tables and Dimension tables for star schemas and snowflake schemas using ERWIN tool and used them for building reports.
Collaborated on cross-team and cross-product technical issues by working with resources from other groups as needed to resolve customer issues
Designed and developed Use Cases, Activity Diagrams, Sequence Diagrams and data flow diagrams using UML and Business Process Modelling
Designed and developed several mappings that involves active and passive transformations like Source Qualifier, Lookup, Router, Normalizer, Aggregator, Filter, Joiner, Expression and standard/reusable logic using Informatica
Designed Fact tables and Dimension tables for star schemas and snowflake schemas using ERWIN tool and used them for building reports
Designed and developed various analytical reports from multiple data sources by blending data on a single worksheet in Tableau desktop
Provided production support by monitoring the daily running workflows or processes
Collaborated on cross-team and cross-product technical issues by working with resources from other groups as needed to resolve customer issues
Generated ad-hoc reports for the project management team using SQL queries
Environment: MS SQL Server, SQL Enterprise Manager, MS Excel, Erwin, ETL, MS Access Java, Jira MS office, Outlook, Informatica
Leadership Experience & Organization
Professional Chair at UT Dallas, Alpha Kappa Psi Feb’17 to Dec ‘17
Associate Chair at UT Dallas, Investment Club Jan ’18 to July’18