Candidate Profile

Description

Seeking a career as a full-time “Data Analyst /Data Scientist /Machine Learning Engineer”: Application and Passion Enclosed. Dear Hiring Team, I am thrilled to introduce myself as a Master’s student in Mechatronics at the University of Siegen, Germany, currently working as a Master’s Thesis Student in the data science department at Elmos Semiconductor SE, Dortmund, Germany. I am expecting to finish my Master’s Thesis by the end of May 2023. As a technology enthusiast, I was captivated by the tremendous potential of AI and its applications, including self-driving cars, speech translation, and more. This fascination sparked a strong desire within me to pursue a career in the field of Data as a Data Analyst/Data Scientist/Machine Learning Engineer, and I have since dedicated myself to preparing for this role. While scouting the internet (LinkedIn) for potential data science jobs, which intrigued and convinced me that I could use my knowledge and experience profitably. As well as being a coding enthusiast, I enjoy working with data, building machine learning and deep learning models, which encouraged me to express my interest in the full-time “Data Analyst/Data Scientist/Machine Learning Engineer” position at your esteemed organization.During my Master’s, I honed my expertise in an array of technical fields, including Data Science, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Statistics, and Programming. My Master’s thesis at Elmos Semiconductor has allowed me to delve even deeper into data science. I am currently utilizing advanced techniques to generate similarity-based feature vectors that capture the distinct characteristics of various defect patterns found in semiconductor microchip fabrication. I have also completed my master research project (Studienarbeit) in the same area for nine months, wherein I leveraged cutting-edge deep learning /computer vision techniques like PCA, Autoencoders, and diverse clustering methodologies to accurately classify defects based on their spatial patterns. I also have hands-on experience in building deep neural network architectures to directly classify images with defects into specific categories. This has given me more than a year of industrial experience in the field of data science in the Semiconductor industry. Throughout my coursework, I have gained extensive experience working on a variety of projects, including time-series data analysis. In one such project, I employed machine learning techniques to construct an energy-efficient deep learning model for Human Activity Recognition. I utilized the cutting-edge DeepConvLSTM architecture, integrating learned activity-wise skips to reduce data consumption. As part of an elective module, I undertook a project in medical imaging, re-constructing tomographic images of human body parts from X-ray projections using deep neural networks. I have also implemented several regularization techniques to enhance the quality of the reconstructed image. I took part in the image classification challenge with transfer learning as part of a deep learning course at the University of Siegen. I am proficient in data visualization (PowerBI), Python, SQL, PyTorch, TensorFlow, scikit-learn, and other ML frameworks. Artificial Intelligence is something I am always curious about and try to keep up with the latest advances. Additionally, my interest motivated me to take several online data science courses. My English skills are excellent and I am proficient in German at an advanced level (B1). With the above experiences coupled with my passion for data science, problem-solving, collaborative, and critical thinking abilities, I believe that the applied position is an ideal place to showcase my skills and be an asset to your team. I will be grateful for the opportunity to prove my skills and abilities in an interview. I am open to discussing salary and benefits during the interview process. As well, I confirm my availability from 1st June 2023 and my willingness to relocate anywhere within Germany. Count me in for travel opportunities for work, whether near or far. Lastly, I would like to thank you for considering and reviewing my application. I am looking forward to hearing from you. Yours Sincerely, Sathvik Dembale Krishnappagowda