About

Prem Krishn is a highly skilled and experienced Data Scientist with a passion for managing and collaborating with people to solve business problems using analytical skillsets. He is currently working as an Associate at JP Morgan and has previously worked as a Data Scientist at Barclays. Prem's areas of interest include Human Psychology, Strategic Management, Deep Learning, News Analytics, advanced techniques in Machine Learning, and creating crisp visualizations. He is proficient in Statistical modeling, building Machine Learning pipelines, making inferences, making accurate predictions by working on small datasets, Time Series Analysis, Tableau, Qlik, R, SAS, Salesforce, Workfront, and Business Objects. Prem's past experience includes designing the overall flow to compete against Solr-based Search Engine using Python/Deep Learning implementation, setting up Semi-Supervised Learning using Glove pretrained word2vec model, carrying out NDCG (Normalized Discounted Cumulative Gain) by collaborating with a team of 10 testers to establish superiority of proposed approach, spearheading Customer Satisfaction use case using Advanced Machine Learning starting from scratch till production, leading implementation of Boosting algorithm-based ensemble model in UAT, SIT for production, and evaluating Dask in Sklearn, Pyspark ML-Lib & Spark-Sklearn for distributed Machine Learning. Prem has a strong educational background, having completed a PGDBA from the Indian Institute of Management, Calcutta, with a focus on Business Administration and Management, General, and a PGDBA from the Indian Institute of Technology, Kharagpur, with a focus on Machine Learning. He also completed a PGDBA from the Indian Statistical Institute, Kolkata, with a focus on Mathematical Statistics and Probability, and a Bachelor of Technology (BTech) in Electrical and Electronics Engineering from the Indian Institute of Technology (Banaras Hindu University), Varanasi. Prem's technical skills include ML, Data Scientist, Deep Learning, NLP, Python, Scikit, Supervised Learning, Research Scientist, Salesforce, Word2Vec, Information Retrieval, Spark, Search, test, SQL, Jupyter, Big Data, product manager, Docker, Neural Networks, and Flask. With 8.87 years of relevant experience, Prem is a highly skilled and versatile Data Scientist who can contribute to any data-driven project.