Data Engineer with experience in machine learning, data science, data mining, and natural language processing. Experienced in Python, C++, R, C, C#, PHP, MySQL, Qt C++, Tableau, Power BI, Android Studio, MS Excel, SAS, J…
Data Engineer with experience in machine learning, data science, data mining, and natural language processing. Experienced in Python, C++, R, C, C#, PHP, MySQL, Qt C++, Tableau, Power BI, Android Studio, MS Excel, SAS, Jupyter, and Weka, with academic training in Computer Science and Engineering with Specialization in Data Science.
● To conduct predictions that could stop an airplane from wasting time, and reduce carbon emission and fuel in an airport, I worked in the airport domain to develop a machine-learning model using the dataset provided by the domain experts.
● To enable the model to train automatically with the specified refresh time utilizing the new data accessible in the ODB server, I applied the incremental learning technique.
● The planned real-time model deployment will involve integrating the trained model with the application that the Air Traffic Controllers could use to manage flight departures and arrivals.
● Learned Qt framework to develop a bucket of list widgets for an application, then learned and implemented QML alongside. Working on the same project to fix the defects raised by the testing team.
● Developed a dashboard report to visualize the faults that occurred in the components of Airfield Ground lighting such as Lamps, ASD, CCR, and CCR-SIO. Found the patterns of lamp faults that occurred according to the intensity changes by the ATC
Conducted predictions to reduce airplane time waste, carbon emission, and fuel usage in an airport domain.
Developed a machine-learning model using the dataset provided by domain experts.
Applied incremental learning to enable automatic model training with the specified refresh time using new data accessible in the ODB server.
Worked toward planned real-time model deployment by integrating the trained model with the application used by Air Traffic Controllers to manage flight departures and arrivals.
Learned Qt framework to develop a bucket of list widgets for an application.
Learned and implemented QML alongside Qt.
Worked on the same project to fix defects raised by the testing team.
Developed a dashboard report to visualize faults in Airfield Ground Lightings components such as Lamps, ASD, CCR, and CCR-SIO.
Found patterns of lamp faults according to intensity changes by the ATC.
Explained the projects and workflow in the innovation department.
Prepared a report on the knowledge acquired throughout the internship about the landscape and infrastructure of the jewelry division.
Worked on basic front-end development tasks guided by the innovation team.
Attended training programs to enhance skills in Tableau, Power BI, and MS Excel for data analysis and Python for data science.
Completed five data science projects given by management within the given period.
Completed a predictive analytics project using machine learning techniques.
Worked on Project Kinder, an initiative to teach English and mathematics to government school children.
Guided them to develop English speaking skills among young minds.
Helped develop better opportunities in life with the help of the members of Helphen.
Performed marketing to encourage university students to participate in the marathon program by explaining the needs and benefits.
Managed public relations support.
Developed a strategy to make the public outside the university a part of the marathon.
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