V K Thejus

Built and optimized machine learning models for predictive analysis, improving model accuracy and performance. Performed data preprocessing and feature engineering using Python (Pandas, NumPy) to enhance data quality and model efficiency. Conducted exploratory data analysis (EDA) to identify patterns, trends, and key insights from structured datasets.

AI & ML Intern - IBM SkillsBuild (Edunet Foundation, ASAP Kerala)

(2025-12 - 2026-01)

• Built and optimized machine learning models for predictive analysis, improving model accuracy and performance.
• Performed data preprocessing and feature engineering using Python (Pandas, NumPy) to enhance data quality and model efficiency.
• Conducted exploratory data analysis (EDA) to identify patterns, trends, and key insights from structured datasets.
• Applied supervised learning techniques and evaluated models using metrics such as accuracy, precision, and recall.

Data Analytics Intern - Microsoft Elevate (AICTE)

(2025)

• Developed an end-to-end data analytics solution integrating Machine Learning and Power BI dashboards.
• Designed interactive dashboards with KPI tracking, trend analysis, and data visualization for business insights.
• Implemented Random Forest model for predictive analytics, achieving high accuracy in risk classification.
• Processed and transformed large datasets using Python, improving data consistency and usability.

AI Intern - Infosys Springboard

(2025-10 - 2025-12)

• Developed an AI-based legal reference and case retrieval system using machine learning techniques.
• Implemented data processing and search optimization to improve information retrieval accuracy.
• Applied NLP concepts and algorithmic approaches for efficient classification and recommendation.
• Strengthened understanding of AI system design, model development, and real-world deployment concepts.

Bachelor of Technology - Computer Science - College of Engineering Trikaripur (2022-10 - 2026-05)