TVM Sairam

Data Scientist familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in Medical, Automobile and Computer Vision.

• As a Data Engineer lead, I worked on creating analysis report from the client repository and performed post-processing task in BigQuery.
• Created vehicle performance analysis dashboard using Tableau.
• As a Data Engineer I worked on building a Virtual Propulsion Platform for a client project related to building a Digital Twin mechanism for electric vehicles.
• Used AWS Machine Learning services like Sagemaker, Glue, EC2, RDS, and CloudWatch to operate on machine learning and deep learning models created with client data.
• Worked on Tableau for Data Visualization by connecting AWS service to the Tableau server. Implemented data ingestion processes to collect data from various sources, including APIs, databases, and streaming platforms, and transformed them into a unified format suitable for analysis and modeling.
• Performed data analysis and quality checks to identify data anomalies, inconsistencies, and outliers, ensuring data integrity and accuracy.
• Developed SQL queries and scripts to extract, manipulate, and transform data from multiple databases for reporting and analysis purposes.
• Collaborated with cross-functional teams to define data requirements and implement data-driven solutions for business operations.
• Created and automated data reports using visualization tools like Tableau, providing key insights to stakeholders and facilitating data-driven decision-making.
• I worked on User behavior classification and Battery digital twin in identifying the battery parameters required and understanding drivers' behavior in charging the vehicle.
• As a specialist in Machine Learning and Artificial Intelligence, I handled two automobile projects related to Electrical Vehicles. I worked on building Battery RUL prediction for Electrical Vehicles where we can predict the information regarding Electrical vehicles' SOH, SOC, and RUL using live data from the vehicles.
• I worked on building Intrusion Detection System Using CAN signals and predicting the type of intrusion that happened to the vehicle based on the Quantile transformation of the CAN signals. Identified 16 different treats for an electric vehicle based on IDS prediction using CAN signals.
• As a senior software engineer at Mindtree, I developed custom bot applications that will be communicating with the user and the model. Interaction includes the web API integration with private and public endpoints.
• As the part of stack project, I worked on building machine learning and deep learning applications with at most accuracy in detecting the language to be translated, and classifying the required object.
• Worked as an efficient team member to perform custom analytics using data factory and data bricks. As the part of GBS Language translation project, created custom logic apps, which connects the users, language experts with the application.
• Expert in Azure Cognitive Services and Bot Framework implementation with custom authentication. As a senior software engineer at Mindtree, I developed REST APIs for a Django-based web application for language translation and implemented CRUD operations for the entire application.
• As a data scientist at Codegnan IT Solutions, I worked on implementing the sentimental analysis based on Telugu language which was not having the CORPUS support to predict and classify the category of the social media posts especially twitter.
• As an assistant professor at ALIET, I worked in a patent project, which succeeded in classifying the piece of land which can be useful for farming. I have patent grant for 8 years.
• As part of an external training program in Simplilearn: - Written code in Python Programming to design a machine learning application related to customer service analysis in which customer service request types are predicted. - Written code in Python Programming to analyze employee churn analysis to predict whether an employee will stay back in the organization or not.
• I developed a web-based learning management system (LMS) using JavaScript, CSS, HTML, AngularJS, AWS at Yellow Soft. I developed an IoT Based self-driving car using voice control using Python and computer vision at ALIET.
• I developed a responsive user interface for web HR applications using Bootstrap, JavaScript, Entity Framework, and MVC architecture.
• I developed a responsive user interface for an ERP application using Bootstrap, JavaScript, AngularJS, Entity Framework, and MVC architecture.