Anudeep Sesetti

Data Science:

• Principal contributor in conceptualizing and development of device health and analytics for an Enphase solar system. This algorithm shall give insights to rectify ill working devices, and is designed to scaled for all customers of Enphase
• Development of solar production forecast engine and benchmarking
• Features identification, SHAP analysis, PCA for building new algorithms

Data Engineering:

• Writing ETL scripts in Apache Airflow for internal reporting requirements
• Worked on data from and to AWS Redshift, Dynamo, Amazon RDS and Mongo DB

Other Activities:

• Worked on developing, implementing, and validating customer segmentation to improve out- reach in new product launch campaigns
• Supported new business development by identifying specific customer segments with customers having most propensity of purchase derived using data modelling
• Coordinates, supervises, and mentors team members in various daily tasks

Key Achievements:

• Studied and developed an optimized schedule for 8 SMT production machines based on their energy profile (constrained optimization) which resulted in saving of ~2M Euros/year savings in a Bosch Semi conductor manufacturing unit
• Part of initial team which conceptualized and founded a new product on Industrial Energy Optimization and Visualization

Responsibilities:

• Data analysis using ML models to provide recommendations to Industries for optimized energy profile
• Developing energy efficiency data strategies and its implementation by analyzing customer equipment's performance and schedules
• Anomaly identification in captured sensors data, creation of reports
• Coordinated and supervised team in accomplishing project objectives

• Coordinated installation, testing & commissioning 2 x 33kV/433V Substation