tejaswini yella

tejaswini yella

machine learning engineer ii

Country

united states

City

baltimore

Industry

information technology and services

Skill

python, machine learning, deep learning, agile methodologies, pl/sql, c++, java, pegasystems prpc, linux, xml, html, javascript, lstm, neuro linguistic programming, project management, big data, software development life cycle, matlab, unix, tensorflow, keras, oracle database, hadoop, convolutional neural networks, probability, scikit learn, sentiment analysis, cluster analysis, artificial neural networks, mapreduce, spark, big data analytics, r

Experience

synopsys

machine learning intern

synopsys

2018-5 - 2018-8 · 4 mos

* Developing an expert system for the detection of patterns in log files * Experience on working with deep learning on pattern detection in text data. * Used Keras and Tensor flows to build machine learning model. * worked on NLP

virtusa

software engineer

virtusa

2014-10 - 2016-11 · 2 yrs 2 mos

* Designed, developed and deployed user stories to build enterprise web application. * Designed flows, build UI, configured reports, dashboard, SLA's and declarative rules for enterprise web applications . * Worked on database integration, writing complex SQL queries, ETL. * Observed and Analysed statistical credit behaviour of each obligor at a daily level and predicted credit worthiness

university of maryland baltimore county

research assistant

university of maryland baltimore county

2018-1 - 2018-10 · 10 mos
keysight technologies

machine learning engineer ii

keysight technologies

2019-10 - Present · 7 yrs
ag-analytics

machine learning engineer

ag-analytics

2019-2 - 2019-10 · 9 mos

Education

gitam university, hyderabad

gitam university, hyderabad

electronics engineering

2010-1 - 2014-1 · 4 yrs 1 mo
gitam university

gitam university

2010-1 - 2014-1 · 4 yrs 1 mo
university of maryland baltimore county

university of maryland baltimore county

information systems

2017-1 - 2018-1 · 1 yr 1 mo

tejaswini yella's Contact Information

Email

******@***.com

Phone

(**) *** ****

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