About

Akhil Ram is a highly skilled Data Scientist with a strong mathematical background and over 2 years of experience in building NLP models, solving machine learning, and deep learning problems. He is currently working as an Associate Consultant at KPMG Global Services, where he is responsible for developing and implementing machine learning solutions for various clients. Akhil has hands-on experience with a range of machine learning techniques, including supervised and unsupervised algorithms, classification, regression, predictive modeling, decision trees, support vector machines, random forest, and clustering. He is also proficient in Natural Language Processing (NLP) techniques such as chatbots, semantic search engines, knowledge graphs, sentiment analysis, RNN, LSTM, and BERT Transformers. Additionally, he has expertise in deep learning frameworks such as Keras and TensorFlow, neural networks, computer vision, and data visualization using Python libraries like Pandas, NumPy, Matplotlib, and Seaborn. Akhil has worked on various projects during his career, including developing an executive summarizer and question-answering system for enterprise knowledge management, redesigning a monolith application into microservice architectures with CI/CD, and planning microservice architecture and implementation strategy to integrate ML models with an existing application. He has also developed an effective information retrieval system using Glove embeddings and ELK Stack, reducing the mean time spent for finding relevant information by 60%, and used topic modeling using LDA and LSA for clustering datamarts to improve search. Akhil holds a Master of Science degree in Machine Learning and AI from Liverpool John Moores University and a Post Graduate Degree in Machine Learning and AI from IIIT Bangalore. He also has a Master of Technology degree in VLSI specialization from the Indian Institute of Information Technology Design and Manufacturing and a Bachelor's degree in Electrical, Electronics, and Communications Engineering from the same institute. Akhil has a diverse tech stack that includes ML, Deep Learning, NLP, AI, Data Scientist, Research Scientist, SVM, BERT, Python, SQL, AWS, Sentiment Analysis, Random Forest, Keras, Computer Vision, Seaborn, CNN, RNN, Scikit, Microservices, Django, Docker, TensorFlow, Pandas, Neural Networks, Search, ETL, Flask, CI/CD, infra, and product designer. With 1.53 years of relevant experience, Akhil is passionate about taking on challenging and interesting opportunities in machine learning.