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AI Engineer with 2+ years in Data Science & Machine Learning
Innovative and results-driven Artificial Intelligence postgraduate (MSc with Distinction) seeking core opportunities as an Data and AI Engineer / Analyst. Highly skilled in transforming complex, large-scale, structured and unstructured datasets into actionable business insights and high-accuracy predictive models. Proficient across the entire data lifecycle: from executing robust ETL pipelines, data extraction, and relational database management to advanced Machine Learning engineering, Deep Learning (LSTM/NLP), and interactive Business Intelligence (BI) dashboarding. Proven track record of leveraging data-driven optimization strategies to drive product enhancement, optimize operational workflows, and deliver impactful data storytelling to key stakeholders.
Teesside University
Master of Science · Applied Artificial Intelligence with Advanced Practice
August 1, 2021 – June 30, 2023
SriGuru Institute of Technology
Bachelor of Engineering · Computer Science and Engineering
August 1, 2012 – June 30, 2016
Shadow Fox
Data Science Intern
January 1, 2026 – February 1, 2026
India
Teesside University / Francis Brown Ltd
Student Intern
September 1, 2022 – January 1, 2023
Durham, England, United Kingdom
Natural Glamour Tamil
Founder & Analytics Lead
May 1, 2020 – September 1, 2021
Coimbatore, Tamil Nadu, India
Telecom Customer Attrition Forecasting
June 1, 2026 – Present
• Designed an ML predictive model utilizing specialized consumer behavioral datasets to forecast churn risk and calculate Customer Lifetime Value (CLV). • Conducted detailed exploratory data analysis (EDA) and data mining to isolate critical metrics impacting retention, directly influencing product stickiness and business growth models.
Abusive Comments Classification
June 1, 2026 – Present
• Developed a scalable Deep Learning text classification model utilizing LSTM architectures to automate platform content moderation and enhance online user experience (UX) safety. • Implemented NLP techniques including tokenization and word embeddings to process unstructured big data datasets, accelerating metadata pipeline processing speeds.
Vehicle Insurance Claims Prediction
June 1, 2026 – Present
• Created predictive models using Python (Scikit-learn) to forecast historical claims risk and calculate probability configurations for application within the insurance and finance sectors. • Performed exhaustive statistical data analysis and feature selection methodologies to extract critical insights from complex tabular datasets.
Used Car Sales Business Intelligence Analysis
June 1, 2026 – Present
• Constructed end-to-end ETL processing pipelines, data warehouse modeling, and advanced DAX mathematical calculations within Power BI to analyze historical sales performance metrics. • Delivered cross-functional interactive executive dashboards to visualize corporate sales KPIs, enabling accurate product enhancement strategies and forecasting market trends.
Career Essentials in Business Analysis
Microsoft/LinkedIn
June 1, 2026 – Present
Career Essentials in Generative AI
Microsoft/LinkedIn
June 1, 2026 – Present
Career Essentials in Data Analysis
Microsoft/LinkedIn
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from telecom attrition to abusive comments classification and business intelligence, indicates adaptability and a broad interest in applying AI/Data Science across different domains. Their experience as a founder and analytics lead, coupled with internships, shows initiative and a proactive approach to learning and contribution. The academic projects and certifications align well with an AI Engineer role, suggesting a strong foundational and continuous learning mindset. However, the experience is primarily academic and internship-based, with limited exposure to large-scale, production-grade AI systems in a corporate setting, which might require some ramp-up.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their project work and experience. Their ability to lead and scale a digital brand (Founder & Analytics Lead) indicates entrepreneurial spirit, strategic thinking, and a results-oriented approach. Experience in Agile environments and stakeholder reporting suggests good operational fit and collaboration skills. The candidate's communication skills appear strong based on the detailed project descriptions and professional summary.