SHIVANSHI KARANJAI

Summary

Driven and detail-oriented Computer Science & Engineering (AI & ML) undergraduate with a strong foundation in software engineering principles, artificial intelligence, and machine learning. Proven track record of navigating complex industry workflows through highly selective corporate job simulations with global firms like Siemens, Deloitte, and Tata. Certified by Microsoft and an active participant in advanced AI workshops, aiming to leverage technical expertise in an impactful Software or AI Engineering role.

Experience

Education

Projects

• Smart Load Forecasting & Data Analytics System using AI
• • Core Objective: Leveraged machine learning models to forecast electrical energy demand, enabling better grid management and reducing power wastage.
• • Technologies Used: Python, Pandas, Scikit-Learn, Matplotlib, and Prompt Engineering (for rapid code generation and testing).
• • Implementation:
• o Developed an AI-driven predictive regressor model to forecast daily electrical load demand based on historical power consumption and environmental data.
• o Utilized advanced AI data analysis tools to preprocess raw sensor datasets, handle anomalies, and extract key features efficiently.
• o Implemented and evaluated machine learning algorithms (Decision Trees/Regression Models) utilizing Scikit-Learn to map peak energy demands accurately.
• o Leveraged AI prompt engineering to rapidly prototype, test, and debug the Python script framework, optimizing development cycles.