Consultant | Data Analytics | Delhi | Operations, Industry & Domain Solutions

Key Responsibilities:

• Analyse large-scale energy datasets (e.g., smart meter data, grid performance, weather data) to extract actionable insights.
• Develop predictive models for energy demand forecasting, equipment failure, and load optimization.
• Develop Machine Learning model for energy theft, consumer defaulter and Sentiment analytics.
• Design and deploy machine learning models for anomaly detection, Assets predictive maintenance, and renewable energy forecasting will be preferrable.
• Create dashboards and visualizations to communicate findings to stakeholders.
• Hands-on experience of end-to-end project deployment on any cloud platform like AWS and Microsoft Azure.
• Stay updated with industry trends, regulatory changes, and emerging technologies in the energy domain.
• Capable to implement CNN based model to capture meter parameters (like readings from electric, water, or gas meters) from Image using computer vision.

Required Skills & Qualifications:

• Bachelor’s or master’s degree in data science, Computer Science, Electrical Engineering, or related field.
• 4–6 years of experience in data science, preferably in the energy or utilities sector.
• Proficiency in Data Science programming languages like Python, R, SQL, and data visualization tools (e.g., Power BI, Tableau).
• Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong understanding of time-series analysis, forecasting techniques, and optimization algorithms.
• Familiarity with energy systems, smart grids, and renewable energy technologies.
• Excellent problem-solving skills and ability to work in cross-functional teams.