About

Akhilesh Pandey is a highly skilled Data Scientist with over 6 years of experience in the information technology and services industry. He is currently working as a Senior Data Scientist at Accern, where he has been responsible for maintaining the backend components of their UI-based time series machine learning framework built using Python. He has also contributed to the systems core engine to build efficient data preprocessing pipelines and built a machine learning models repository for users that includes sklearn, xgboost, and tensorflow-based models. Akhilesh is an expert in architecting and training machine learning and deep learning models, coding clean and scalable code using mostly Java and Python, building end-to-end pipelines in Data Science like Data mining, Data wrangling, Data analysis, Data Visualization, and Prediction. He has a demonstrated history of using deep tech approaches in NLP to build POCs that include classifying documents, doing extractive summarizing of 10k filings using gensim and bert, and extracting domain-specific entities with minimal training data using a UI-based approach. He has used tensorflow, pytorch for deep learning and React for User interface. In his previous roles, Akhilesh worked on various projects, including free text to SQL, document text timeline, face emotion classifier, and E-commerce chatbot, using different tools and techniques such as NLP, NLU, semantic parsing, Keras, Tensorflow, Scikit-learn, AWS, and OpenCV. He has also built a resume parser from end to end, where input was word docs or pdf, used pdfminer to get text, built a regex engine for identifying various sections, used topic modeling also categorizing words. He used deep learning for this approach too, but due to the shortage of data points, accuracy was low. Akhilesh holds a B.Tech. in Mathematics and Computing from the Indian Institute of Guwahati (IIT Guwahati). His technical skills include Data Scientist, Research Scientist, Python, Deep Learning, ML, NLP, Computer Vision, SQL, Tensorflow, Web, Java, BERT, UI, XGBoost, Scikit, NLU, Backend, Pytorch, GCP, Sentiment Analysis, Flask, Keras, CNN, OpenCV, Image Processing, Kafka, Elastic Search, Search, Snowflake, AI, AWS, Postgres, Software Engineer, Bag of Words, Kubernetes, Docker, Javascript, and Pandas. Overall, Ak