An NLP researcher with 3+ years of professional experience, seeking full time in the area of Natural Language processing, Machine Learning, Data Science, Knowledge graphs or Software Development. I am currently working on the domain-specific knowledge graph for Manufacturing. Recently, interned at Twitch (Amazon) where I got to work on utilizing reinforcement learning for the Twitch recommendation system. Worked as a part of Scoutr as Data Scientist intern, I worked on Conversational AI. Created multiple chatbots for various applications using Rasa (Open source). I also worked on automated scoring of candidates response to interview questions. Moreover, I worked as intern in 2020 and created a skills similarity recommender /recognition tool using NLP that was implemented in the production. Also, developed a chatbot using Google dialogueflow. Worked with Saint-Gobain Research for large-scale patents and research abstracts embedding analysis for latent knowledge capture project. I also created a pipeline for Knowledge Graph on unstructured text for Manufacturing as part of my research. Previously, I worked on a custom NLP model for Named Entity Recognition that extracts named entities from unstructured manufacturing text documents. Moreover, the model is capable of predicting the topic of any research article, and recommending similar named entity categories. ✅ Programming: Python (Library packages: Numpy, pandas, scikit-learn (SKLearn), PyTorch, Keras, gensim, Tensorflow (GPU), pytorch, Matplotlib, NLTK, MVCNN, SegNet, Rasa, Beautiful Soup), SQL, Tableau, R, Advanced Excel (Pivot Tables, StatTools), JMP ✅ Software & Tools: Apache Jena, Jupyter, Anaconda, GIT, Neo4j, Access, JMP, Tableau, Excel, HTML, MS Office, PyCharm, Spyder, Docker, Ubuntu for Windows ✅ Statistics: Inferential Statistics, Experimental Design, Hypothesis Testing (A/B Testing), Regression Analysis ✅ Machine Learning: Regression Modeling, Random Forest, kNN Classifier, K-means Clustering, Feature Extraction (PCA, Factor Analysis), Natural Language Processing (Text Analytics), Convolutional Neural Network (CNN), BiLSTM, CRF, Computer vision, Image Segmentation. Evaluation: ROC curves, AUC, grid-search, cross-validation. ✅ Deployment tools: Heroku, AWS, Ngrok ✅ Soft skills: Project management, leadership, communication, teamwork, googling, critical thinking, resourcefulness. Interested in having a conversation? Feel free to reach me at: ✉️ akumar33@ncsu.edu