Sri Ramapriyan D B

Product Engineer

Chennai, Tamil Nadu, India8 mos experience

Key Highlights

Proficient in building dashboards for real-time analytics.
Experienced in developing machine learning models using CNN.
Skilled in automation and no-code application development.

Stackforce AI infers this person is a Machine Learning and Automation Specialist with SaaS experience.

Contact

Skills

Core Skills

Systems ManagementAnalyticsAutomationMachine Learning

Other Skills

Production DeploymentPython (Programming Language)Zoho Creator Low-Code PlatformConvolutional Neural Networks (CNN)Linux ServerWindows ServerAmazon Web Services (AWS)Microsoft Power BISAP CRMZoho Analytics BIMicrosoft ExcelStrategic Business DevelopmentBusiness Development SupportGitLinear Algebra

Experience

8 mos

Total Experience

6 mos

Average Tenure

1 mo

Current Experience

Tata consultancy services

Associate System Engineer Trainee

May 2026 – Present · 1 mo · Chennai, Tamil Nadu, India · On-site

Production DeploymentSystems Management

Multivista global pvt. ltd.

Business Analyst Intern

Oct 2025 – May 2026 · 7 mos · Chennai, Tamil Nadu, India · On-site

Build Dashboards to monitor sales and hr departments, providing real-time insights into key performance indicators.
Gained 6 months of hands-on experience administering SAP C4C (Customer for Cloud), supporting CRM workflows relevant to global manufacturing client accounts.
Developed and deployed no-code business applications using Zoho Creator, including custom workflow automation tools that reduced manual processing for client operations teams.
Applied automation scripting in Python and Bash to streamline repetitive server management tasks, improving operational efficiency and reducing error rates.
Demonstrated ability to work within structured enterprise environments with a focus on process optimization, documentation, and cross-team collaboration.

AnalyticsPython (Programming Language)

Intel corporation

Machine learning Trainee

May 2023 – Aug 2023 · 3 mos · Bengaluru, Karnataka, India · Remote

Developed a Convolutional Neural Network model to classify images in the Fashion MNIST dataset with high accuracy using
Python.
Implemented data pre-processing techniques, including normalization, to optimize model performance.
Utilized frameworks such as TensorFlow and Keras for building, training, and evaluating CNN models.
Gained hands-on experience in model evaluation metrics, such as accuracy, precision, recall, and F1 score.

Python (Programming Language)Convolutional Neural Networks (CNN)Machine Learning