About

Swastik Somani is a highly skilled and experienced Data Scientist with a strong background in Machine Learning, Deep Learning, Time Series, Image Processing, and Python. With almost 4 years of industry experience, he has developed expertise in various areas such as Machine Learning Algorithms, Optimization Techniques, Predictive Modeling, Statistical Modeling, Sentiment Analysis, Data Analysis, Data Visualization, Programming Debugging, and Model Development. Swastik has a strong technical skill set, including proficiency in Python, Java, HTML, JavaScript, CSS, Linear/Logistic Regression, SVM, Tree Models, Ensemble Trees Models, TensorFlow, Keras, Sci-kit Learn, OpenCV, Pandas, Numpy, RASA, ANN, CNN, RNN, LSTM, AWS, EC2, Sagemaker, and SQL. He has also worked with various libraries and frameworks and has experience in Cloud Computing and Database management. Currently working as a Software Associate - AI/ML at Accion Labs, Swastik has developed a Face Recognition model using Pre-trained Facenet model Keras, OpenCV, and has applied various types of Image Processing techniques to convert images into a form suitable for further analysis. He has also deployed the ML model into AWS Server and created restful API using Flask. In his previous role as a Test Automation Engineer at Nav Fund Administration Group, he was responsible for inspecting and modifying automation scripts for a new Testing Automation Platform using CodedUI tool. Swastik has completed his PG Diploma in Machine Learning and AI from the International Institute of Information Technology Bangalore, and a Bachelor of Technology (BTech) in Information Technology from Swami Keshwanand Inst. of Tech. Mgt. & Gramothan, Jaipur. He has also completed a course in Deep Learning from Udacity. Swastik is a highly motivated individual with a passion for research and development in the field of Data Science. He has a relevant experience of 3.86 years and possesses excellent communication and problem-solving skills.