Raji Saravanan Email & Phone Number

Melbourne, Vic, Au

Clayton, Victoria, Australia

• Identifying business rules and requirements for assessing the quality of data relative to business rules and previous trends.• Analyze data received, compare data record layout to existing format for successful load and client use.• Identify improvements to traffic modeling which will result in improved data accuracy.• Building Inventory Model by analyzing inventory statistics to determine which products are selling and which are not and suggest Safety Stock levels through output model.• Perform data profiling, validation of data, and data quality.• Identify valid measurements and metrics to enable easy monitoring data quality.Primary Softwares: Knime, Azure Synapse studio, Microsoft SQL Server Management Studio

Clayton South, Victoria, Australia

• Improving and normalising data across different platforms.• Implementing logics and processes to extract, load and transform data across one/multiple systems from varieties sources. • Migrating data from on premises data store to cloud platform. • Building extensible data acquisition integration solutions to meet the business requirements. • Optimising data Integration platforms to provide optimal performance under increasing data volumes. • Working with different teams and stakeholders to translate functional specifications into technical designs for implementation and deployment.Primary Softwares : SAP, SAP Data Services, SAP Cloud Platform Integration, IBM Sterling Integrator

Australia

A qualified individual with substantial statistical analytic capabilities and the ability to build models that fit the problem best. Proficient in machine learning, programming, critical thinking and problem-solving. Eager to discover more and apply data science experience in fast-paced and dynamic firms to interpret and enrich data to generate insights serving the organisation.

Melbourne, Australia

Plan: To find Key Contributors to Fuel Economy and Vehicle Efficiency from customer survey data. • Collaborating with team members and business stakeholders to identify analytical requirements.• Extracting data to meet project demands from different sources using SQL, executing queries and manipulating data.• Data cleaning, processing, structuring and exploring consumer behaviour and market condition.• Selecting features (Feature Engineering) and forming subsets for in-depth analysis.• Building and optimising models using machine learning techniques to obtain the features influencing the target variables.• Providing insights and visualising the findings to improve efficiency and effectiveness for industry decisions.• Programming languages used: Python, SQL (Classification, Decision Tree, Random Forests, sklearn, matplotlib, ggplot, graphviz).

Master'S Degree, Data Science, 3.2

Activities and Societies: RMIT RUSUCourses Practical Data Science - Included Data Retrieval, Data Wrangling, Data Exploration, Data.

Bachelor Of Engineering, Electronics And Telecommunication, 7.6

Activities and Societies: • Part of Sports Club. • Bagged the 2nd place for badminton tournament. • Secured 1st place in Chess.• Worked.