Aditi Sinha

Business Intelligence Engineer Ii

Amazon · United States

Present

Metrics & Experimentation Led cross-functional effort to define and centralize 145+ business metrics across 6 business lines, aligned with 10 VP-level goals — establishing a governed source of truth for strategic reviews. Designed A/B tests across demographic segments to optimize survey methodology, reducing survey length ~25% and costs ~20%. Community Analytics & Product Insights Co-led team building a community sentiment product from scratch — analyzed ~100K survey responses/quarter across 11 countries using Python and SQL. Insights directly shaped Amazon's site launch strategy and market entry playbooks. Built flagship dashboard serving 200+ stakeholders with 40+ engagement metrics enabling cohort-based root cause analysis. Strategic Analysis Drove vendor consolidation analysis across 1,400+ stations, recommending a single-vendor strategy that reduced costs ~20% and directly influenced leadership's investment decision. Surfaced engagement friction points across 30 regional locations…

Business Intelligence Engineer

Amazon · Seattle, Washington, United States

Software Engineer

Tata Consultancy Services · Windsor, Connecticut, United States

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 models Tools: Java, Python(OOPS),Oracle DB, MSSQL , Teradata

Software Engineer

Cigna · Windsor, Connecticut, United States

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

Philips Sleep and Respiratory Care · Monroeville

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

University of Pittsburgh School of Medicine · Greater Pittsburgh Area

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

Schneider Electric · India

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 programming Project2…

Intern

Schneider Electric · India

Project: Development and Deployment of a Universal Notification System based on SMS and E-mail Role: • 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 TestStand Tools: UML Protocols: TCP/IP, SMTP

Summer Intern

Tata Steel Processing And Distribution Ltd. · India

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 Modules SW Platform: Step 7 Software, HMI