Surya Vikram Berna Viswanathan

WORK HISTORY

EDUCATION

ABOUT SURYA VIKRAM BERNA VISWANATHAN

Data science practitioner with 8+ years of Software Engineering experience. Concentrated focus on NLP and Deep Learning. Thesis on reinforcement learning using Multi agent - Multi objective systems.In my previous role, performed proof of concepts on regression and classification models, Data Analysis for a Insurance score prediction product- gathering, cleaning and organising data for use by technical and non-technical personnel, deployed those models using Flask in Pivotal Cloud environment.Automation is key - Passion to automate any possible process, starting from unit testing to system integration - API Tests, end - end automation tests, to automating app dependencies and build processes including GitHub integration with Rally. Programming: Python (Numpy, Pandas, NLTK, Spacy, Keras, SKLearn, Matplotlib, Problem Solving), SQL (MS SQL), R (For Data Analytics and Data Visualisation), Java (Spark, Bigdata, Selenium, Core Java) Automation Tools & Frameworks: Selenium, Protractor, RestAssured, Espresso & XCUI (Mobile automation), SOAP UI, Postman, Gradle, Maven VCS, DevOps & Misc Tools: IntelliJ, Git, Rally, Jenkins, Docker, Openshift, Gradle, Maven Statistics: Inferential Statistics, Experimental Design, Hypothesis Testing (A/B Testing), Regression Analysis, Exploratory Data Analysis (EDA) Machine Learning: Regression Modelling, Random Forest, XGBoost, kNN Classifier, K-means Clustering, Feature Extraction (PCA, Factor Analysis), Advanced Natural Language Processing (Text Analytics – PII, Neural Machine Translation, LSTM, GRU), Convolutional Neural Network (Image Processing - Detection and Classification). Business Domain Expertise: Enterprise Data Analytics, Product Analytics, App Design evaluation with click stream analytics, user journey evaluation, App design based of A/B testing. Domains worked - Banking and Financial Services, Insurance, Manufacturing and Logistics