Aditi Sinha Email & Phone Number
@cigna.com
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Who is Aditi Sinha? Overview
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Aditi Sinha is listed as Business Intelligence Engineer II at Amazon, a with 500669 employees, based in Bellevue, Washington, United States. AeroLeads shows a work email signal at cigna.com and a matched LinkedIn profile for Aditi Sinha.
Aditi Sinha previously worked as Business Intelligence Engineer at Amazon and Software Engineer at Tata Consultancy Services. Aditi Sinha holds Master Of Science - Ms, Information Science/Studies, 3.58 from University Of Pittsburgh School Of Computing And Information.
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About Aditi Sinha
As a software engineer with 3+ years of work experience I believe as technology is evolving and changing continuously, it becomes imperative for business managers or more specifically leaders to develop in themselves strategic and data driven insights to reduce cost and support market structures for healthier profit margins. Knowledge makes a man rich” is the most cherished advice of my father and has driven my passion throughout my course of life which can be reflected through my work. Currently I work as Software Engineer contractor to Cigna and work very closely in devising strategies and implementations using Data Engineering platforms. Prior to that I worked as a ML Engineer in Philips Respironics and developed a feature selection framework with an intelligent vote based algorithm using deep learning techniques in Python Programming .Along with my Masters in Information Science I worked a Graduate Research Assistant with relational as well as non-relational Databases. I was responsible for design, development and documentation of a data warehouse with OLAP Layers using MySQL, MSSQL, MONGODB, NEO4J and compare their performance and significant computational differences. As a student research assistant my research work was selected to be presented in the 4th Integrative Conference on Technology, Social Media & Behavioral Health .I implemented deep learning technique on Sensor(IOT) data and built a Recurrent Neural Net model for detecting Alcohol Impairment using movement patterns and analysis. Prior to my Masters I have had 2+years of Web Automation experience where I led various Automation Strategies and took initiative in building automated solutions using Python and Java.I possess a rational mind and have the ability to absorb complex data in humungous quantity to derive at logical conclusion. I am also a vibrant team player, and believe in collaborating and cooperating in a dutiful manner.With a diverse background ranging from Power& Energy to Healthcare and Insurance combined with extensive exposure to data driven technologies ,I am actively seeking for full time opportunities in the area of Software Development ,Data Science and Data Engineering.
Listed skills include National Instrument Labview, Team Building, Pandas, R, and 40 others.
Aditi Sinha's current company
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Aditi Sinha work experience
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Business Intelligence Engineer
Software Engineer
Client Site- Cigna Corporations LLC Work directly with key stakeholders to plan and execute strategies resulting in reduction of sprint cycles by 50% and led sprint reviews and daily scrum meetings to ensure delivery timelines and strong adherence to agile practices.• Develop ETL pipelines and perform data masking and data analysis for more than 100 applications monthly by writing complex analytical queries in MSSQL and ORACLE.• Perform reporting and visualization using PYTHON in an Agile environment and took initiative in driving solutions using Machine Learning algorithms and modelsTools: Java, Python(OOPS),Oracle DB, MSSQL , Teradata
Software Engineer
Work directly with key stakeholders to plan and execute strategies resulting in reduction of sprint cycles by 50% and led sprint reviews and daily scrum meetings to ensure delivery timelines and strong adherence to agile practices.• Develop ETL pipelines and perform data masking and data analysis for more than 100 applications monthly by writing complex analytical queries in MSSQL and ORACLE.• Perform reporting and visualization using PYTHON in an Agile environment and took initiative in driving solutions using Machine Learning algorithms and models
Research And Development Engineer-Machine Learning
Developed a supervised feature selection framework solely in a team of 4 which reduced 2700 incoming respiratory features to 30 features that best represented ground truth sleep health data in neural net application. • Stage One feature selection algorithm per class involved normalization, quartile clipping and power transformation, feature reduction using Linear Regression with sequential forward search and Lasso regression to identify best 50 features per class • An intelligent vote based ranking algorithm was developed for feature selection among all classes which successfully reduced the common feature set to 30. • Features were fed into a LSTM Neural Network model built using Tensorflow-GPU, Keras libraries in Python
Research Assistant
Data Scientist • Developed a Recurrent Neural Network classifier to detect Alcohol Impairment by classifying intoxication levels using Smart Phone Sensor Data by analyzing Movement Patterns. Butterworth filtering using MATLAB was done and features were extracted using sliding window technique A Recurrent Neural Network model was trained with extracted features and breath alcohol content as target variable and predicted two levels of intoxication with an accuracy of 85%. • https://www.youtube.com/watch?v=M9lNmqwtUXg&t=96s: Presented my work as “Safelink,-Using Phone Sensor Data to Detect Alcohol Impairment” at the 4th Integrative Conference on Technology, Social Media & Behavioral Health Development and Maintenance of Tables, Storage Procedures and Views in MSSQL and MS Access. • Participate in weekly meetings in a team of 6 MD’s and presented statistical reports and visualization graphs using R
Test Automation Engineer
Project1: Cloud connected energy data logger cum gateway for remote energy management in non-critical buildings.Role: Test Automation Engineer•Understanding the System Architecture, testing tools and equipment’s and performing automation and generating reports.Led the automation team of 4 and developed automation framework using Python and Robot environment for web page automation of dashboards of cloud connected data loggers and energy meters. • Motivated team to develop tool independent automation which improved the regression efficiency by 33.33% and Contributed cost savings of 2K Euros per sprint in test execution cycle •Participate in CCB meeting with cross-functional team of US to review the defects logged.•Provide constant support to the cross-functional team in US and to ATOL Test Bench Verification Team in development of the software solutions required by the department.•Provide technical support and mentoring the employees seeking knowledge on Python programmingProject2:Leveraging LabView based ATOL Libraries into Python Robot framework for Test Automation.Role: Digitization Representative• Collection and gathering of data about available standalone Lab View based Libraries developed.• Design and Development of Interface between Lab View Libraries and Robot framework• Testing and Validation of the Interface developed.Project3: Smart Panel SolutionRole: Software Engineer• Understanding the System Architecture, testing tools and equipments.• Completing the test execution timely as assigned by the lead.HW Platform: IFE/IFM/FDM, Digital and Analog I/Os, Circuit BreakersSW Platform: TestComplete, NI TestStand, C sharp(C#),Python (OOPS)Protocols: Modbus, TCP/IP, SMTP, ULPHW Platform: ComX510/200/210/510 data logger, WAGES Meters, Digital and Analog I/Os, Circuit BreakersTools: Selenium, Robot framework, Team Forge
Intern
Project: Development and Deployment of a Universal Notification System based on SMS and E-mailRole: • Requirement Gathering, Plan and Analysis, Design and Implementation.• Documentation of Specification Documents and User Manual.• Deployment on Electromechanical and Endurance Test Benches.• Representative at Global Level as a Digitization Initiative.HW Platform: GSM/GPRS Modules.NI DAQ(USB6001)SW Platform: NI Labview(OOPS), NI TestStandTools: UMLProtocols: TCP/IP, SMTP
Summer Intern
Project: Study of different automation levels in a LD3 shop of a steel making process flow.Role: • Plant visit and study of steelmaking process flow in LD3 Shop.• Understanding the 3 different levels of automation control units. • Contributed in preparing Standard Operating Procedure for controlling a motor operation using PLC Programming on Step 7 Software.HW Platform: SIEMENS PLC, Y Link Module, D.C Motors, Proximity Sensors, Profibus DP/PA, Optical Link ModulesSW Platform: Step 7 Software, HMI
Colleagues at Amazon
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Colleague at AmazonAkron, Ohio, United States
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Neha Reddy
Colleague at AmazonMckinney, Texas, United States
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Colleague at AmazonHamilton, Ontario, Canada
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Amjad Khan
Colleague at AmazonLahore District, Punjab, Pakistan
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Rohullah Zadran
Colleague at AmazonKabul Province, Afghanistan
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Aditi Sinha education
Master Of Science - Ms, Information Science/Studies, 3.58
Bachelor Of Technology - Btech, Electrical And Electronics Engineering
Frequently asked questions about Aditi Sinha
Quick answers generated from the profile data available on this page.
What company does Aditi Sinha work for?
Aditi Sinha works for Amazon.
What is Aditi Sinha's role at Amazon?
Aditi Sinha is listed as Business Intelligence Engineer II at Amazon.
What is Aditi Sinha's email address?
AeroLeads has found 1 work email signal at @cigna.com for Aditi Sinha at Amazon.
Where is Aditi Sinha based?
Aditi Sinha is based in Bellevue, Washington, United States while working with Amazon.
What companies has Aditi Sinha worked for?
Aditi Sinha has worked for Amazon, Tata Consultancy Services, Cigna, Philips Sleep And Respiratory Care, and University Of Pittsburgh School Of Medicine.
Who are Aditi Sinha's colleagues at Amazon?
Aditi Sinha's colleagues at Amazon include Amer Hameed, Isabela Furlan, Parth Gupta, Susan Rice, and Crystal Morgan.
How can I contact Aditi Sinha?
You can use AeroLeads to view verified contact signals for Aditi Sinha at Amazon, including work email, phone, and LinkedIn data when available.
What schools did Aditi Sinha attend?
Aditi Sinha holds Master Of Science - Ms, Information Science/Studies, 3.58 from University Of Pittsburgh School Of Computing And Information.
What skills is Aditi Sinha known for?
Aditi Sinha is listed with skills including National Instrument Labview, Team Building, Pandas, R, Data Science, Nodejs, Mongodb, and Data Management.
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