Travelling
To enhance my working capacities, technical skills, and to serve my organization with sheer determination and commitment.
Microsoft SQL Server
Microsoft Power BI Desktop for Business Intelligence
Travelling
Cooking
May/2022
Reviewed and represented the data as per the customer requirements using suitable visuals to create attractive dashboards briefing, oscar nominations and oscar wins, year- wise box office collection and top 5 films with maximum profit.
April/2022
Presented various report as per company requirements and illustrated using appropriate visualization tools, representing top line performance of various countries and notes.
March/2022
Presented various report as per company requirements and illustrated using appropriate visualization tools, representing summery, product details, customer details and Q&A.
February/2022
January/2022
July/2021
Through this, I have worked on developing a website to provide pet care service. It included grooming solutions, walking activities and vet consultation. The pet owner were supposed to book the service online.
june/2019
I have developed this as part of the academic cycle as a solution for digitising our library and also maintaining it. It had User access controls and digital account of every student's borrowing history.
RESEARCH PAPER
DETECTION OF ROAD TRAFFIC ANOMALIES BASED ON COMPUTATIONAL DATA SCIENCE
1Dr.Meenatchi Sundaram
2Mr. Mohammed Tajuddin
july/2022
School of Computational Sciences and IT, Garden City University, Bengaluru, Karnataka, India
The development of 5G has enabled the autonomous vehicles (AVs) to have full control over all functions. To manage large amounts of traffic data in different formats, a computational data science approach (CDS) is proposed. The computational data science scheme introduced to detect anomalies in traffic data that negatively affect traffic efficiency. The combination of data science and advanced artificial intelligence techniques, such as deep leaning provides higher degree of data anomalies detection which leads to reduce traffic congestion and vehicular queuing. The main contribution of the CDS approach is summarized in detection of the factors that caused data anomalies early to avoid long- term traffic congestions. Moreover, CDS indicated a promoting results in various road traffic scenarios.
Microsoft Power BI Desktop for Business Intelligence