Pinnacle Infotech Solutions - Digital Twin Analyst - Data Visualization Tools (3-5 yrs)

Company Overview :

- Pinnacle Infotech values inclusive growth in an agile, diverse environment.

- With 30+ years of global experience, 3,400+ experts completed 15,000+ projects across 43+ countries for 5,000+ clients.

- Join us for rapid advancement, cutting-edge training, and impactful global projects.

- Embrace Evalutes, celebrate uniqueness, and drive swift career growth with Pinnaclites!

Role Overview :

- We seek a highly skilled Digital Twin Analyst proficient in analyzing IoT sensor, maintenance, and asset static data to build dashboards and predictive models for failure prediction.

- This role is pivotal in enhancing our predictive maintenance capabilities and ensuring high operational efficiency through advanced data analytics.

Job Title : Digital Twin Analyst

Responsibilities :

- Analyze large datasets comprising IoT sensor data, maintenance records, and asset static data to identify trends, patterns, and anomalies.

- Clean, transform, and prepare data for model building and visualization.

- Design and develop interactive dashboards to visualize key performance indicators (KPIs), asset health, maintenance history, and predictive maintenance insights.

- Utilize data visualization tools (Tableau, Power BI, Grafana) to create compelling and informative dashboards.

- Develop and implement predictive models for failure prediction using machine learning techniques (regression, classification, time series analysis).

- Select appropriate algorithms based on data characteristics and business objectives.

- Validate and evaluate predictive models to ensure accuracy, reliability, and generalizability.

- Refine models based on performance metrics and feedback.

- Contribute to the development and enhancement of digital twin models by integrating data from various sources and implementing logic for simulating asset behavior.

- Collaborate effectively with domain experts, engineers, and other stakeholders to understand business requirements and translate them into data-driven solutions.

- Communicate technical concepts and findings clearly and concisely to both technical and non-technical audiences.

- Stay up-to-date with the latest advancements in digital twin technology, predictive maintenance, and data analytics.

- Explore new tools and techniques to improve our capabilities.

- Maintain thorough documentation of data sources, data processing steps, models, and dashboards.

Required Skills & Qualifications :

- Bachelor's or Master's degree in a quantitative field (Data Science, Computer Science, Engineering, Statistics, or a related field).

- 3+ years of experience in data analysis, data visualization, and predictive modeling (Adjust years of experience as needed).

- Strong proficiency in SQL and experience working with large datasets.

- Hands-on experience with data visualization tools (Tableau, Power BI, Grafana).

- Experience with machine learning libraries and frameworks (scikit-learn, TensorFlow, PyTorch).

- Strong understanding of statistical modeling and machine learning algorithms.

- Excellent communication, presentation, and interpersonal skills.

- Ability to work independently and as part of a team.

- Experience with IoT data and predictive maintenance is highly desirable.

- Familiarity with digital twin concepts and technologies is a significant advantage.

Preferred Qualifications :

- Experience with cloud computing platforms (AWS, Azure, GCP).

- Experience with time series analysis and forecasting techniques.