I'm pursuing my master's in Computer Science with a concentration in Data Science. As of right now, I'm looking for Summer 2022 internship opportunities in the field of Data Science, Machine Learning and Software Engineering, and would love for it to convert it to full time when I graduate in Summer 2023.
I have worked as a Research Assistant during my undergrad and have published 6 research articles in the relevant field and also have 2 Indian Patents under my name. Find out more by downloading my resume :)
I'm proficient in Python (Major Libraries: Scipy, Numpy, Keras, TensorFLow, PyTorch, OpenCV, Pandas, Matplotlib), SQL, C++, C, Java, HTML, CSS, JavaScript, Latex and R. I also have experience developing with VS Code, Eclipse, Google Colab, XCode, Spyder, Jupyter and WordPress. In addition to this, I'm taking courses on Data Visualization, Ethics in Computing and Cloud Computing in the spring semester.
I also have some research experience and have several publications based on Machine Learning algorithms, due to which I'm also fluent in technical writing.
Researched on Algorithms and Mathematical Machine Learning, and published 6 research articles in International Journals. Utilized Google Colab and majorly worked on Health Informatics using Python. Major published articles:
∗ Patent: Ayushe Gangal, Peeyush Kumar, Sunita Kumari, Aditya Kumar (2021), Subway Train Seat Occupancy Detection Via Instance Segmentation With Point Regression For Peri And Post Covid-19 Era (No.: 202111045336; Journal Number: 42/2021)
∗ Patent: Peeyush Kumar, Ayushe Gangal, Sunita Kumari, Aditya Kumar, Dr. Vivek Jaglan (2020), GENigma(MayhemNet): Canalizing Stochasticity of Neural Nets into an Insurmountable Encryption Machine (No.: 202011037028; Journal Number: 39/2020)
∗ Intl. J.: WisdomNet: Prognosis of COVID-19 with Slender Prospect of False Negative cases and Vaticinating the Probability of Maturation to ARDS using Posteroanterior Chest X-Rays. In Spec. Issue of the Journal of Pure and Applied Microbiology (JPAM).
∗ Intl. J.: Recombinant Sort: N-Dimensional Cartesian Spaced Algorithm Designed from Synergetic Combination of Hashing, Bucket, Counting, and Radix Sort. In Ing ́enierie des Syst`emes d’Information.
∗ Intl. Conf.: GENigma(MayhemNet): Canalizing Stochasticity of Neural Nets into an Insurmountable Encryption Machine. In the International Conference on Networks and Cryptology (NetCrypt), JNU, New Delhi, India
Assisted in developing Suspicious Activity Detection Software. Implemented algorithms like Image recognition and Object identification on real world data. Performed work-load analysis and performance tuning.
Coursework: Systems for Data Science, Machine Learning, Neural Networks
Coursework: Data Structures, Algorithms Analysis, Operating Systems, Database Management, Programming Languages, Artificial Intelligence