Bijayashree Bilas

• Father's Name: Mr. Raghunath Bilas
• Date of Birth: 10/10/1997
• Gender: Female
• Nationality: Indian
• Marital Status: Unmarried

1.Project Name: State Dashboard 

Client: Government of Odisha

Role: SAS developer

Description: Odisha Government with a vision to provide better governance, complete transparency & insight on the schemes running across the state has come up with the state of art State Dashboard platform. The State Dashboard platform is an amalgamation of big data & high end analytics to provide visual display of the department wise scheme implementation which need to achieve one or more objectives; consolidated and arranged in a single frame so that the information can be monitored effectively by the Ministers/Secretaries of respective Departments at a glance. The key statistics/Key Performance Indicators (KPI) of respective schemes, projects & programs of departments will be published in the Dashboard, which will facilitate delving into key insights of Department activities as well as wider view of performance of the programs, schemes, and projects of the State. Key Achievements: Successfully completed the development of high-end analytical reports for 30 schemes for the State Government of Odisha.

2.Project Name: Biju Swasthya Kalyan Yojana (BSKY)

Client: Government of Odisha

Role: Data Analyst

Description: BSKY aims at providing free health care to every citizen across the state, there by the government has launched BSKY as a scheme which would provide a financial/medical aid of 5lakhs/10 lakhs to the economical backward people of the state.

Roles and Responsibilities:

 Worked on project requirements gathering and technical documentation. 

 Understand business requirement & KPI preparation. 

 Worked on Data Loading. 

 Developed reports & dashboard using SQL,POWER BI,TABLEAU, SAS EG/SAS VA.  

                            Convert requirement to Implementable SAS solutions using following: 

                                           Data study/analysis

                                           Understanding of data & various key elements associated with the data 

                                           Sample data preparation (as and when required) 

                                           Load data

                                           Compute statistics on the data

                                           Cleansing of data 

                                           Identification of KPIs based on data set/ data type 

                                           Designing of dashboard