Vivek Bokinala has more than 20 years of IT experience including data science roles. Vivek has worked for the UK local authority organisation as a risk analyst. He has experience in designing frameworks, building models, deploying machine learning algorithms within big data environments.

Vivek has worked for Tata consultancy services, Delta Class solutions and Gloucestershire county council. He is experienced in solving complex big data problems by building predictive and statistical models, discovering trends, time series analysis and forecasting (ARIMA models) and presenting actionable insights. He is proficient in the applications of logistic regression, K-Means segmentation/clustering, random forest, Bayesian networks and time series analysis; experienced in product recommendation techniques including market analysis and collaborative filtering, visualisations using Python/R libraries including GGPLOT2 and Tableau, analysing and predicting web-based data signals using NLP. He has experience of building API’s for interactive predictive machine learning applications using R-shiny and Python flask and utilising analytical and statistical packages like R, Python (SKLearn, Pandas, NumPy, matplotlib, Seaborn), SQL, Jupyter Notebooks.

Vivek holds PhD in Computer Science from University of Surrey. His research focuses on the natural language modelling of the news articles in extracting a set of causal or risk factors in the agriculture industry. Vivek holds MTech in computer science from Jawaharlal Nehru Technological University, a double post-graduation with an MSc and BSc in Mathematics from Osmania University, India.