About

Kanika Bhatia is an enthusiastic Machine Learning Engineer with 2.93 years of relevant experience seeking an opportunity to learn and excel in professional work that reflects her skills and personal attributes including dedication, creativity, and artistic abilities. She is currently working as a Machine Learning Intern at Altizon, where she has gained hands-on experience in IoT, data extraction through sensors, data simulation for a machine, and built various Machine Learning Models and implemented Anomaly Detection Algorithms like One-Class SVM, Z-Score, Isolation Forest. Kanika has also worked as a Data Science Intern at JK Tyre, where she gained hands-on experience in Deep Learning Techniques including Artificial Neural Networks, Convolutional Neural networks, Recurrent Neural Networks along with Natural Language Processing. She has analyzed data of Restaurant Reviews and classified the feedback as positive or negative using Natural Language Processing, characterized Appellant-Respondent Argument Weight Determination containing the jurisdiction verdict of the Indian Judiciary by applying Sentiment Analysis using Natural Language Processing and Recurrent Neural Networks. She has also implemented Long Short-Term Memory(LSTM) and Gated Recurrent Units(GRU). Kanika has also worked as a Machine Learning and Deep Learning Intern at AGN Hub Tech and IT Solutions, where she has applied machine learning techniques on large data sets and improved accuracy by analyzing, debugging, and applying high data preprocessing methods for various modeling and relevance problems. She has built a Facial Recognition System based on Convolutional Neural Network with Email Push Notification and Chat Application using Python, OpenCV, and Tkinter. She has also computed and formulated Banking Organization Churn Rate Modeling Data using Artificial Neural Network Supervised Deep Learning and performed Grid Search Techniques for better performance of Hyper Parameters Tuning. Kanika holds a Bachelor of Technology degree in Computer Science from JK Lakshmipat University and a High School Diploma in Science and Mathematics from Step By Step High School, Jaipur. Her tech stack includes ML, Deep Learning, Neural Networks, Computer Vision, SVM, Python, NLP, Sentiment Analysis, Keras, Data Scientist, Scikit, TensorFlow, Naive Bayes, Random Forest, OpenCV, and Search.