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AI Engineer with 1+ years in AI, Analytics & Machine Learning.
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Assessing your cultural and operational fit
Data Science professional with an engineering background and a Master's degree in Business Analytics from University College Cork. Proficient in Python, SQL, and data visualization tools, with hands-on experience in regression, classification, and time-series forecasting. Skilled in translating analytical insights into business impact through cross-functional collaboration.
University College Cork
Master of Science · Business Analytics
August 1, 2024 – June 30, 2025
Nitte Meenakshi Institute of Technology
Bachelor of Engineering · Information Science of Engineering
August 1, 2020 – June 30, 2024
Leisure World
Part-Time Receptionist
March 1, 2025 – Present
Cork, County Cork, Ireland
Patodia Infotech Pvt. Ltd.
LLM Research & Testing Intern
March 1, 2023 – May 1, 2023
Bengaluru, Karnataka, India
Smart Accident Severity Detection System
June 28, 2026 – Present
Developed an end-to-end ML pipeline integrating weather, road, and location data for real-time accident severity classification. Implemented an LSTM-CNN model to classify accident severity levels, improving decision support capabilities. Designed Streamlit dashboards for real-time monitoring and stakeholder-friendly insights.
AI-Powered Fashion Retail Demand Forecasting
June 28, 2026 – Present
Built an end-to-end demand forecasting solution for SMEs using retail sales data, Google Trends, and Reddit data. Designed a data pipeline using the Data Value Map (DVM) framework covering data acquisition, integration, analysis, and delivery. Developed and evaluated predictive models (XGBoost, Random Forest, Linear Regression), achieving ~74% forecast accuracy. Delivered insights through Power BI dashboards and Streamlit applications, enabling inventory planning and KPI monitoring. Translated analytical results into actionable recommendations aligned with retail efficiency and sustainability goals.
JAVA programing fundamentals
Unknown
June 1, 2026 – Present
The joy of computing using Python
Unknown
June 1, 2026 – Present
Financial Accounting
Unknown
June 1, 2026 – Present
Corporate Analyst development program (CADP)
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a proactive approach to applying AI/ML concepts to real-world problems (demand forecasting, accident severity detection). The internship experience indicates an understanding of business requirements and data quality, which aligns with a results-oriented culture. The breadth of skills listed, from programming languages to business analytics and professional skills, suggests a versatile individual. However, the experience level is entry-level, and the projects are academic, which might require mentorship to fully integrate into a fast-paced industry environment.
Soft Skills & Operational Fit
The candidate demonstrates strong time management and adaptability through balancing part-time work with MSc studies. Experience as an LLM Research & Testing Intern highlights skills in stakeholder communication, data-driven decision-making, and supporting production deployments, which are valuable for operational fit in an AI engineering role. The project descriptions also indicate an ability for cross-functional collaboration and translating analytical results into actionable recommendations.