
Prakash Kumar Singh, Ph.D.
Assistant Professor-IT/CSE

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About me
LLM, Lang Chain, Llama Index, WatsonX, Generative AI, Deep Learning, Machine Learning, NLP, Hybrid Cloud
Education

Birla Institute of Technology, Mesra, Ranchi
2014 - 2021Ph.D. Machine Learning, Natural Language Processing, Deep LearningCompleted Ph.D. (Machine Learning/NLP) in Dec 2021. Mainly worked on Text data to analyze human sentiment expressed in written text using NLP, state-of-the-art ML algorithms, and Deep Neural Networks.

School of Information Technology,Rajiv Gandhi Proudyogiki Vishvidyalaya, Bhopal
2004 - 2006M.Tech. Information Technology 1st DivisionWorked on classifying the fraud transaction activities made over stolen credit cards based on the pattern of the real Credit/Debit holder.

UP Technical University, Lucknow
2000 - 2004B.Tech. Information Technology 1st DivisionProject work- Worked on the Implementation of Advanced Encryption Standard in C++
Experience

Indraprasth University, New Delhi
Aug 2007 - Mar 2014Assistant Professor-IT/CSE
Galgotias University
Apr 2014 - Jan 2015Assistant Professor
R Systems
Jan 2015 - Sept 2015Senior Software Engineer-Machine Learning/NLPWorked on Predictive Modeling and Statistical Modeling on historical data to identify the KPI, maximizing ROI and getting actionable insight by applying Machine Learning Algorithms.Worked on Telecom Project, Churn Prediction using Sklearn-Linear RegressionSuccessfully implemented Linear Regression, Logistic Regression, Decision Tree, Random Forest Classifier, Support Vector Machine, Matplotlib in various internal and client projectWorked in Hadoop environment in Python,Hive, MongoDB, Map Reduce, and Visualization tools like Tableau. Show less

UST
Jan 2016 - Apr 2016Research Lead-NLPWorked on a Sentiment Analysis tool, Xpresso that is capable of doing all sorts of NLP related task to perform automatic Sentiment Analysis, Document Classification, Clustering. My job profile included applying various NLP techniques and Machine Learning Algorithms for Sentence Spliting, Word Tokenization, Name Entity Recognition for analyzing Sentiments of user's reviews and ensuring the good accuracy of the model while classifying those reviews.

IBM
May 2016 - nowData Scientist- Cognitive ComputingPresently working on Generative Models/ LLM/ WatsonX AI and Data platform.As a Data Scientist, my day-to-day activities include developing Artificial Intelligence/NLP/Machine Learning algorithms using following technologies: Deep Learning frameworks (Pytorch, TensorFlow, Keras), RNN,LSTM,BERT, GRU models. Linear Regression, Logistic Regression, Random Forest, Decision Tree etc. PySpark, Python, Azure, GCP, Databrics, Kubernetes, Docker etc. NLP tools like, NLTK, Word2Vec, TF-IDF, Unigram, Ngram etc. Hadoop, Yarn,Hive, Oozie and other components. Show less
Licenses & Certifications
- View certificate

Big Data Foundations - Level 1
IBM - View certificate

Docker Essentials: A Developer Introduction
IBM - View certificate

Applied Data Science with Python - Level 2
IBM - View certificate

Getting Started with Containers on IBM Cloud
IBM - View certificate

Big Data Foundations - Level 2
IBM - View certificate

Statistics 101
IBM - View certificate

Python for Data Science
IBM - View certificate

Spark - Level 1
IBM - View certificate

Machine Learning with Python - Level 1
IBM - View certificate

Hadoop Administration - Level 1
IBM
Languages
- enEnglish
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