About

Swaritra Saxena is a data science professional with over 4 years of experience in executing data-driven solutions through machine learning, big data, and other analytical techniques. He is skilled in predicting modeling, data analysis, automation of big data operations and analysis, and implementing action-oriented solutions to solve complex business problems. Swaritra has extensive technical expertise in big data technologies such as Cassandra, Hive, Spark Core, Spark Mlib, and Hadoop. He is also proficient in various machine learning algorithms such as Linear & Polynomial Regression, KNN, SVM, Naive Bayes, Logistics Regression, Decision Tree, Random Forest, Gradient Boosting, Stochastic GB, Xgboost, Light GBM, Clustering, NN, LSTM, RNN, and performance analysis using rmse, precision, recall, F measure, ROC, AUC. Additionally, he has experience in natural language processing techniques such as text classification, sentiment analysis, syntactic analysis, semantic analysis, n-gram, tokenizing, POS tag, NER, dependency parsing, bag of words, and TF-IDF. Swaritra's toolset includes Python 2.7 & 3.5, Pandas, Numpy, Matplotlib, NLTK, Sklearn, Scipy, Flask, Python-docx, BeautifulSoup, Linux (Ubuntu 16.04), Apache Cassandra, Apache Lucene, Apache Hive, SQL, and Excel. Currently working as a Business Analyst Coordinator at UnitedHealth, Swaritra engages with clients and stakeholders to understand business problems, designs solution approach and project delivery. He analyzes and processes complex data sets using advanced querying, visualization, and analytics tools. Swaritra also develops, refines, and scales data management and analytics procedures, systems, workflows, and best practices. He is also responsible for the automation of data migration, analysis, and various validations as per the requirement of the project. In the past, Swaritra has worked as a Machine Learning Engineer at Exponential Machine and as a Software Engineer at India Weblab. He has a Bachelor of Technology degree from Uttar Pradesh Technical University and a Master of Technology degree from the National Institute of Technology, Patna. Swaritra's tech stack includes ML, big data, NLP, deep learning, Python, SQL, Cassandra, sentiment analysis, text classification, Naive Bayes, SVM, XGBoost, random forest, Apache Hive, RNN, parts-of-s