Aayush Raj Verma

Summer Intern @CelebalTechnologies | B.Tech CSE (Data Science) at Bennett University | Passionate about Machine Learning & Agentic AI

Role
Summer Intern at Celebal Technologies
Location
Delhi, IN
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Aayush Raj Verma

Aspiring Machine Learning Engineer | Data Science Undergrad | Currently a Summer Intern at Celebal Technologies I’m a final-year B.Tech student specializing in Data Science, actively developing the mindset and skill set required for real-world Machine Learning engineering roles. My current internship at Celebal Technologies is giving me hands-on exposure to data-driven problem-solving in an enterprise setting. My focus areas include: • Building and fine-tuning machine learning models • Understanding data pipelines, model deployment, and scalability • Exploring Agentic AI systems and autonomous decision-making frameworks • Strengthening foundations in Python, SQL, and MLOps tools Beyond academics, I’ve worked on self-initiated projects in computer vision, NLP, and financial forecasting—translating theory into actionable results. I’m driven by the challenge of designing intelligent systems that don’t just analyze but adapt and act. With every opportunity, I’m aligning closer to the Machine Learning Engineer I aim to become. Always open to learning, collaborations, and meaningful conversations around AI, applied ML, and real-world data science.

Experience

  1. Summer Intern

    Celebal Technologies

    May 2025 — Present · IN

    Developed churn prediction models (Logistic Regression, Random Forest, XGBoost) achieving ROC-AUC of 83.4% and F1 score of 58.4% on test data, validated through cross-validation to ensure model robustness.Shipped 2+ new features and analyzed 15+ variables, identifying key churn drivers (contract type, tenure, charges) through exploratory data analysis.Orchestrated an end-to-end ML pipeline processing customer records, from data cleaning to model evaluation using 4+ classification metrics.Improved minority class detection by 5% on an imbalanced dataset through precision-recall optimization and metric-driven evaluation (ROC-AUC, F1, Precision, Recall).

Education

  • Prabhu Dayal Public School

    Senior Secondary Education

    2020 — 2022

  • Bennett University

    Bachelor of Technology - BTech

    2022 — 2026

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Aayush Raj Verma — Summer Intern at Celebal Technologies in Delhi, IN | Unifers