Geetesh Gupta Email & Phone Number

Rotterdam, ZH, NL

Utrecht, Netherlands

In the beginning of the year, I joined the IoT development team within LINKIT. I worked with Nanoframework to configure micro-controllers with Azure. I had also built an IoT solution for LINKIT's workshop. We also finalised the MVP for internal product HIVE. My responsibilities grew as a DevOps engineer which included Code & PR reviews, Improving Scrum.

Utrecht, Netherlands

The traineeship started with a bootcamp of 7 weeks on Microsoft Azure & DevOps. During traineeship, I worked with technologies like Docker, Azure Functions and Terraform. I was also responsible for handling an internal LINKIT's cloud product called HIVE. I worked mainly on the backend development of this project with C#, monitoring APIs and also designing.

Utrecht, The Netherlands

- Worked on two computer vision projects namely action classification and object segmentation.- Analysed human keypoints and their motion in video clips to determine the type of shot played by a bastmen in cricket.- Trained Yolact model to detect 3 main objects in video clips (Bat, Ball, Stumps)- Wrote custom data preprocessing techniques to adjust the.

- Supervised an ML project on driving performance classification from start to end.- Introduced important machine learning libraries and their use cases to a fellow student.- collaboratively deployed few preprocessing techniques for the analysis of continuous data.- Highlighted important drawbacks on the model designed.

Maastricht, Limburg, Netherlands

- Worked on the topic "A multimodal approach for Emotion-Personality Connect".- Analysed two sources of data (facial expressions + EEG recordings). - Sampling frames from video clips and heatmaps showing emotions highly using pre-trained models.- Designing a concatenated model for joint analysis of facial expression and signal.- Implementing a significance.

Maastricht Area, Netherlands

- Worked on "Interpretation of multi-variate model for omics data analysis". - Used PCA to reduce the dimensionality of the data and project them onto scores and loadings plot for visualisation.- Extracted sets of genes using their existing information.- Created Convex hulls for different combinations of genes from each geneset.- Implemented one exact and.

Data Science For Decision Making, Computer Science

Important courses: ▪ Data Mining ▪ Advanced Concepts of Machine Learning ▪ Mathematical Optimisation ▪ Computer Vision ▪ Text Mining ▪.

Bachelor Of Engineering - Be, Information Science

Important courses: ▪ 4 courses of Engineering Mathematics. ▪ Database Management ▪ Statistics ▪ Design and Analysis of Algorithms. ▪.

Sssc, Pcm, 92%