HARSHA PROCESS

Software Engineer

Tyco Electronics Group•  May 2021 - May 2022

• Developing image classifiers using machine learning, regression, and rules-based models Researching and implementing ML algorithms and tools. Creating synthetic dataset using CAD models for training datasets. Picking appropriate data representation methods. • Handling large size data sets. Identifying differences in data distribution that affect model performance.Verifying data quality. Transforming and converting data science prototypes. Performing statistical analysis. Running machine learning tests. Using results to improve models. Training and retraining systems when needed. • Evaluate the performance of your models using various metrics such as accuracy, precision, recall, and F1 score. Understanding evaluation techniques will help you optimize your models. Building a machine learning project is an iterative process. You will encounter challenges along the way, such as overfitting, underfitting, and performance issues. Troubleshooting and debugging skills will be honed during this process.• Developing image classifiers using machine learning, regression, and rules-based models Researching and implementing ML algorithms and tools. Creating synthetic dataset using CAD models for training datasets. Picking appropriate data representation methods. • Handling large size data sets. Identifying differences in data distribution that affect model performance.Verifying data quality. Transforming and converting data science prototypes. Performing statistical analysis. Running machine learning tests. Using results to improve models. Training and retraining systems when needed. • Evaluate the performance of your models using various metrics such as accuracy, precision, recall, and F1 score. Understanding evaluation techniques will help you optimize your models. Building a machine learning project is an iterative process. You will encounter challenges along the way, such as overfitting, underfitting, and performance issues. Troubleshooting and debugging skills will be honed during this process. Skills: Learning · Knowledge Graphs · Analytical Skills · Microsoft Excel · Problem Solving · Linux · Attention to Detail · Test Procedures · Documentation · Python (Programming Language) · Pandas (Software) · Machine Learning · Keras · TensorFlow · Keyshot

University of Hertfordshire

Computer Science & Engineering, MS•  October 2020 - December 2022

Grade: 2.1Grade: 2.1 MSC in AI with Robotics at the University of Hertfordshire. -Key modules: Artificial Life with Robotics, Team research, and Development Project, Legal and Ethical Practice, Neural Network and Machine Learning, Theory and practice of Artificial IntelligenceMSC in AI with Robotics at the University of Hertfordshire. -Key modules: Artificial Life with Robotics, Team research, and Development Project, Legal and Ethical Practice, Neural Network and Machine Learning, Theory and practice of Artificial Intelligence Skills: Reinforcement Learning · Learning · Knowledge Graphs · Statistical Data Analysis · MATLAB · Convolutional Neural Networks (CNN) · Deep Learning · Computer Vision · Data Science · R (Programming Language) · Analytical Skills · Microsoft Excel · Problem Solving · Linux · Attention to Detail · Documentation · Amazon Web Services (AWS)