Navya Mohan

Experience

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  Tata Elxsi

  Dec 2012 - May 2022

  Software Engineering Specialist

  • SOTA automation process - Development and testing for vehicle in loop (VIL)o Noise Factor Development and Testing (NFT)• In vehicle experience improvement using machine learningo Data acquisition, Data preparation, Feature extractiono Machine learning algorithm implemenation - based on the random forest and SVM.• Data logger configuration (both in bench and remotely) and linking logger to server.o Script creation for loggers based on vehicle type and model year.o Installation of data logger in vehicle. Perform different verification checks such as pre installation checks on the bench, checks with installation on a test vehicle, tests after deployment of logger.• Investigation on Heart Rate Variability for Driver Stress Analysiso Problem Analysis & Identification, Information gathering, Database collection.o Design, Matlab Coding, Debugging, Implementation and Testing• Self-learning car projecto Feature feasibility study, detailed literature survey and benchmarkingo Feature related signal identification. Matlab coding for analyzing data.o Pattern recognition and machine learning to find similar patterns and repeating scenarios. Show less

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  Accenture

  May 2022 - Jun 2023

  A banking domain-based project. The aim of the project is to create synthetic data for the bank customer database due to security reasons. Roles & Responsibilities:• Pre and post processing of data –Automate the preprocessing of data for data cleaning and based on user specific requirements. Post processing of data to revert the custom changes.• Data Analysis and Parsing – Detailed data analysis for interpretation of categorical and numerical data characteristics. Meta data creation based on data characteristics.• Synthetic data creation – Collaborate with Datacebo for synthetic data creation. Use synthetic data vault library for evaluating synthetic data.• Metrics and performance evaluation – Perform tests such as Chi-squared and KS metrics for performance comparison between synthetic data and real data.Environment: Python, Azure Data Bricks, Spark, Pyspark, SQL, Data Analytics Platform, SDV Show less

  • Data Engineering Specialist

    Jul 2022 - Jun 2023

  • Application Development Specialist

    May 2022 - Jul 2022
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  Amazech Solutions

  Jun 2023 - now

  Artificial Intelligence / Machine Learning Engineer

  1. Onsked Scheduler: Schedule management solution to significantly reduce the complexities involved in tracking appointments to individuals, families and businesses. Initial implementation in Azure.  Gen AI Synthetic data generation using SDV Faker. Metric comparison and performance evaluation for synthetic data.  2. Feature engineering for customer data – Data preprocessing, EDA, Feature extraction.  Worked in the AI/ML schedule predictor to identify potential models and use Auto ML services to identify the best fit Model.  Machine Learning model implementation and deployment. Environment: Python, Azure Synapse Analytics, Azure ML, MLOps, vector DB, AWS sagemaker, AWS S3, Open AI, NLP, SDV Show less