Ritu Sharma, AI/ML Engineer (Jaipur, India)

Ritu Sharma is an AI/ML engineer with more than three years of experience and expertise in the field of Artificial Intelligence, Machine Learning, Deep Learning, NLP and Computer Vision. She is also a Kaggle Competitions Master and notebook expert. Ritu is hard-working and passionate about solving the client's hunger for AI solutions. She is excited to work on a wide range of projects including Predictive Analytics and Reinforcement Learning. Ritu’s skill set includes Machine Learning/Deep Learning Libraries (scikit-learn, TensorFlow, NumPy, Pandas, Matplotlib, Seaborn, Jupyter Notebook, Anaconda, Keras, PyTorch), Machine Learning Algorithms (Linear Regression, Logistic Regression, Support Vector Machines (SVM), Naive Bayes, KNN, Decision Tree, Random Forest, Gradient Boosting, Principal Component Analysis (PCA), KMeans, Agglomerative Clustering), Deep Learning Algorithms (Simple NN, CNN, RNN, LSTM, Transformers, BERT, GPT-3, GPT-2), Natural Language Processing (NLTK, spaCy, Gensim, word2vec, GLoVe, doc2vec, HuggingFace Transformers), Programming Languages (JavaScript, Python), Collaboration and Work Management Tools (Jira, Confluence, Trello, Basecamp), Cloud Computing and Containers (Docker, Google Cloud, AWS), Database Technologies (Relational and Non-relational): Microsoft SQL Server, Oracle, PostgreSQL, MongoDB (NoSQL). Ritu has developed and implemented machine learning models to solve real-world problems, collaborated with cross-functional teams to streamline data pipelines and improve model deployment efficiency, led AI/ML projects, overseen the end-to-end development and deployment of advanced machine learning and deep learning solutions, and utilized cloud computing platforms to scale and optimize model training and inference processes. Ritu likes reading, hiking and natural exploration, yoga and meditation, gardening, outdoor adventure, and traveling.