IT Business / Data Analyst Resume Example

Company Overview -

The company provides money transfer analytical support and training to the law enforcement community and financial industry on current trends in money laundering, and identification of high-risk financial corridors.

Responsibilities -

• Worked on huge money transfer data to create summary statistics, Regression models using R (GGPLOT2)
• Generated ad hoc reports using Tableau for senior team members
• Implemented data cleaning on monthly basis using R
• Created Applications in R Shiny for data cleaning
• Supported the analytical team in statistical analysis for weekly/bi-weekly and monthly money transfer reports
• Got an exposure to the machine learning models the team was working on for fraud detection

Technologies -

R /R shiny - ( Extract , Transform and Analytics )

Tableau - ( Dashboards )

Company Details-

Mentor us Global is IT services organization who provides quality services in Human Resources and Software consulting in every nook and corner of the world. Worked for Wells Fargo Banks as consultant through Mentor US .

Responsibilities -

• Worked on creating API specifications for banks financial API's
• Worked on creating Process flow and Data flow diagrams for Wells Fargo's data / API pipelines
• Worked on creating Kibana Dashboards for Identifying API volume , Errors , Response times , Load balancing and Tracing API requests across multiple API calls

Technologies -

Gliffy UML - ( Business process / requirement documentation )

Kibana - ( Dashboards )

Postman - ( API - Functional Testing )

J-meter - ( API Performance Testing )

Company Overview-

Intraedge is technology services company which provides Technology solutions to its clients . Worked as consultant to American express via Intraedge.

Responsibilities-

• Work on development of Splunk and tableau dash boards to capture application and operational statistical data
• Use SQL and No SQL queries to validate if application is built according to business specifications
• Come up with functional and detail design specifications of new and existing applications
• Come up with functional and detail design specifications of new and existing applications
• Use postman and Jmeter tools to determine if application is built according to functional and business requirements

Technology stack -

Tableau - (Dashboards)

Splunk - ( Application Monitoring and Dash boarding )

PostgreSQL

Gliffy UML - ( Requirement and Functional specification )

Postman - ( API functional testing )

JMETER - ( API performance Testing )