About

Dheeraj Kumar Singh is a dedicated and enthusiastic data scientist with over 6 years of experience in the software industry. He is currently working as a Data Scientist at Globant, where he is responsible for client interaction, data analysis, machine learning model building, optimization, and fine-tuning. He has a good understanding of mathematical modeling, Spark, cloud services (AWS, Azure) for machine learning use cases, and has worked on various deep learning models such as CNN, RNN, and LSTM. Dheeraj has hands-on experience in machine learning techniques and algorithms, such as Regression, k-NN, Naive Bayes, SVM, Decision Forests, and Recommender systems. He has used libraries of Python such as numpy and pandas, matplotlib, etc., to get insights into structured, semi-structured, and unstructured data for business logic and growth. Dheeraj has also explored IPython and Jupyter notebook as key tools and is currently learning deep learning. Dheeraj has worked on NLP for sentiment analysis, text classification, and text summarization. He has used NLTK, Spacy, and pre-trained models like BERT to create custom NLP models. He has also worked on Linear, Logistic regressions, Clustering, Decision trees, SVM, Random forests, Xgboost, etc., and used Matplotlib, Seaborn, Plotly, Tableau for data visualizations. In the past, Dheeraj has worked as a Machine Learning Engineer at Infosys, where he gathered and understood business requirements from clients, analyzed data, and performed necessary preprocessing of data using numpy and pandas libraries of Python. He modeled different machine learning models such as linear regression, logistic regression, KNN clustering, and random forest to predict the selling trends of their product and suggested data-driven solutions to increase sales. Dheeraj holds a Bachelor of Engineering (B.E.) degree in Electronics Engineering from Savitribai Phule Pune University and Maharashtra Institute of Technology. He also has experience in CI/CD, PHP, Jenkins, Flask, and Integration. With his relevant experience of 8.95 years and a strong tech stack that includes ML, Data Scientist, Research Scientist, Deep Learning, Keras, Python, TensorFlow, SQL, BERT, XGBoost, Seaborn, NLP, AWS, Sentiment Analysis, Text Classification, Jupyter, SVM, Random Forest, Spark, Scikit, Pandas