computer, coronavirus disease 2019, correlation and dependence, covariance, data, dependent and independent variables, energy, equation, experiment, factorization, function (mathematics), gas, joint probability distribution, likelihood function, mathematics, matrix (mathematics), mean, monotonic function, parameter, probability density function, probability distribution, python (programming language), random variable, synthetic data, training, validation, and test sets

algorithm, api, big data, blood donation, blood transfusion, data analysis, data science 2020, data science in social media, facebook, gender, google search, hashtag, learning, likelihood function, livestreaming, machine learning, news, privacy, research, sentiment analysis, sexual orientation, social media, social media analytics, social media analytics python , social media data analytics, social media data analytics tools, social media data analytics tutorial, social media data science, social network, social network analysis, twitter, whatsapp, wids 2020, wids mumbai 2020, wids worldwide, youtube

Senior Full Stack Engineer at Somnoware Healthcare Systems

effective data visualization in the era of covid-19, ai, algorithm, api, artificial intelligence, basic reproduction number, big data, blog, blood donation, blood transfusion, bootstrapping (statistics), constrained optimization, convex function, covid-19, covid-19 data visualization, covid-19 data analysis, covid-19 modelling, covid-19 visualization, data analysis, data science, data science 2020, data science conference 2020, data science in social media, decision tree learning, deep learning, dependent and independent variables, derivative, determinism, differential equation, equation, errors and residuals, estimator, facebook, function (mathematics), gender, genie (feral child), google search, gradient descent, hashtag, hessian matrix, hyperparameter (machine learning), hyperparameter optimization, initial condition, instagram, lasso (statistics), learning, likelihood function, livestreaming, logistic regression, loss function, machine learning, mathematical model, mathematical optimization, music, neural network, news, odds ratio, ordinary differential equation, overfitting, parameter, podcast, privacy, random forest, regression analysis, research, sentiment analysis, sexual orientation, sine, social media, social media analytics, social media analytics python , social media data analytics, social media data analytics tools, social media data analytics tutorial, social media data science, social network, social network analysis, spotify, statistical classification, statistics, supervised learning, twitter, variance, video, whatsapp, wids 2020, wids mumbai 2020, wids worldwide, woman in data science , woman in data science mmmbai , women in ds, women in tech, women in technology, youtube

Associate Professor at University of Illinois at Urbana-Champaign

accuracy and precision, bias, big data, bigdata2020, computer science, data analysis, data science, decision-making, dependent and independent variables, effect size, gender, gender role, good and evil, information sciences, innovation, likelihood function, machine learning, observation, policy, prediction, product development, public engagement, reliability (statistics), research, research and development, sampling (statistics), sentiment analysis, sexism, simpson's paradox, small business innovation research, small business technology transfer, social media, statistics, stereotype, the research park at the university of illinois

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