Jamuna Vignesh, Ph.D. Email & Phone Number

Bengaluru, Karnataka, India

Bengaluru, Karnataka, India

Bengaluru Area, India

• Consulting as a member of several small data science/data engineering teams in multiple projects. • Creating output to explain data analysis, data visualization, and statistical modeling results to superiors. • Modeling survey data responses with ordinal logistic regression in R.• Used machine learning on the data to create predictive models regarding COVID-19 in association with the CODR Karnataka government initiative for strategic planning using SSP / Tableau • Applied… Show more • Consulting as a member of several small data science/data engineering teams in multiple projects. • Creating output to explain data analysis, data visualization, and statistical modeling results to superiors. • Modeling survey data responses with ordinal logistic regression in R.• Used machine learning on the data to create predictive models regarding COVID-19 in association with the CODR Karnataka government initiative for strategic planning using SSP / Tableau • Applied statistical and predictive modeling techniques to build, maintain and improve real-time decisions Analysis solved analytics problems and communicate results and methodologies• Discussed data and models with the research and development team to make the best possible products for consumers• Managed Data quality & integrity using skills in Data Warehousing.• Carrying out Marketing Analytics, Risk Management (Logistic regression), and Survival Analysis to evaluate customer information• Worked on importing data from various sources and performed transformations using Map Reduce, Hive to load data into HDFS.• Fluent in Statistical & analytical tool (R/Python/ SQL/Orange)• Applied a variety of dimensionality reduction algorithms on the different datasets to process data and/or visualize data.• Sampling, confidence interval and hypothesis testing; regression analysis; R and Python data structures and programming; time series in R; data visualization using Tableau; supervised and unsupervised learning.• Missing value analysis, data visualization using Matplotlib, dimension reduction, time series analysis using SPSS, feature extraction, text analytics, CNN and RNN• Binomial Probability Distribution – concepts and Poisson Probability Distribution – concepts• Normal Probability Distribution and Z-score or Normal score• Single variable vs. Bivariate distribution• Correlation and regression• Assumptions and interpretation Show less

Greater New York City Area

• Identified, acquired, synthesized, mined, and analyzed relevant data.• Identified emerging trends and patterns in big data collections through highly scalable and efficient analytical approaches • Identified the relationships among multiple sources and types of data and organizing this information to facilitate effective data analysis. • Designed and implemented data, information and knowledge management systems • Generated reports and recommended based on the analysis… Show more • Identified, acquired, synthesized, mined, and analyzed relevant data.• Identified emerging trends and patterns in big data collections through highly scalable and efficient analytical approaches • Identified the relationships among multiple sources and types of data and organizing this information to facilitate effective data analysis. • Designed and implemented data, information and knowledge management systems • Generated reports and recommended based on the analysis to provide decision support functionalities • Performed the day to day activities of projects including interaction with end-users and other partners • Designed developed and validated the aforementioned point in multiple application domains• Prepare and deliver Data Science related training material or write Data Science related original articles for the company’s internal research Show less

Bengaluru Area, India

• To read all the documents and understand usecase to be tested.• Based on the information procured in the above step decide how it is to be tested.• Inform the test lead about what all resources will be required for software testing.• Develop test cases and prioritize testing activities.• Execute all the test case and report defects, define severity and priority for each defect.• Carry out regression testing every time when changes are made to the code to fix defects

Doctor Of Philosophy - Phd, Data Security & Data Privacy

Master Of Technology - Mtech, Computer Science

Bachelor Of Engineering - Be, Computer Science