Sonu Rajan

Results-driven Data Analytics Professional with a robust background in econometrics and applied data science, specializing in creating scalable systems for inventory optimization and CRM analytics. Expert in leveraging feature engineering and probabilistic modeling to automate operational decisions and enhance conversion performance. Proven track record of increasing operational efficiency by 24% and improving lead conversion by 30% through advanced predictive scoring models.

Data Analyst at Capital Hyundai (2025-07 – Present)

• Engineered predictive demand forecasting pipelines to optimize inventory planning, resulting in a 24% increase in operational efficiency.
• Designed data-driven operational intelligence systems for workshop and CRM workflows using probabilistic modeling.
• Built CRM conversion analytics systems to prioritize leads through data-driven segmentation, improving acquisition strategies.
• Developed and deployed scalable analytics solutions on the Frappé platform through cross-functional collaboration.
• Created performance dashboards and reporting pipelines providing actionable business insights for senior management.

Subject Matter Expert (Data Science & Econometrics) at Connect My Expert (2024-10 – 2025-06)

• Delivered instruction in applied econometrics focusing on predictive modeling, regression analytics, and time series
• Mentored professionals in data analysis workflows using STATA, R, and Python, promoting model-driven decision-making

Subject Matter Expert (Economics) at Bartleby (2023-03 – 2024-04)

• Improved analytical accuracy by 20% by providing high-quality solutions for quantitative economics problem sets
• Enhanced clarity and accessibility of technical learning materials, supporting learner development in analytical reasoning

MS in Computer Science in Machine Learning and AI Engineering – Woolf (2025 – 2028)

Master's Degree in Economics – Indira Gandhi National Open University (2019 – 2022)

Bachelor's Degree in Economics – University of Kerala (2015 – 2018)