Aldrin Fernando

"As a seasoned Mechanical Engineer, Business Analyst, and Consultant, my goal is to serve as a catalyst for organizational growth. I bring a potent blend of technical expertise and analytical acumen, leveraging advanced strategies and machine learning algorithms to optimize operational efficiency. My role as a Product Analyst involves adept problem-solving and smart business analysis, aligning with my dedication to propel the organization toward excellence."

Ensemble Modelling and Prediction Interpretability in Imbalanced Dataset using Oversampling Techniques for Automobile Insurance Fraud Detection (09/2022 - 09/2023)

• This thesis employs ensemble modeling and SMOTE to address unbalanced datasets in identifying motor insurance fraud. Exploring techniques like MLP, XGBoost, AdaBoost, and Random Forest, it emphasizes the benefits of oversampling for enhanced fraud detection accuracy. The study provides valuable insights for academic research and practical applications in the insurance sector.

‘Design & Fabrication of Eddy Current Damper’ (03/2018 - 03/2019) 

• This project presents an eco-friendly, low-maintenance damper using eddy current loops. It effectively addresses issues like fixed damping and frequent oil changes, offering high-performance variability.

• Completed advanced dealership training for engine transmission and vehicle safety for fortune100 Automobile company, 08/2020, 08/2021
• Attended seminar titled Synergy 2018 organized at the institute level by Mahindra & Mahindra.
• Awarded 'Player of the Match' by Reliance Foundation Youth Sports College Football in the year 2017.
• Attended a seminar titled 3-D printing organized by the institute (2015).

Automation Excellence:

• Recognized as a top performer, ranked in the top 20 out of 200 employees for spearheading the development of automation tools in claim processing, significantly enhancing efficiency and accuracy.

Fraud Detection Mastery:

• Successfully designed and implemented machine learning classifiers for fraud detection analysis, showcasing expertise in leveraging advanced algorithms to safeguard against fraudulent activities.

Subject Matter Expertise:

• Elected as a Subject Matter Expert (SME) for data analysis, demonstrating a keen ability to analyze complex datasets, identify patterns, and provide valuable insights crucial for informed decision-making.

• Certificate of Completion in SQL for Data Analysis
• Certificate of Completion in Machine Learning with Python Foundations
• Certificate of Completion in Scrum Advanced
• Certificate of Completion in Business Analysis Foundations
• Certificate of Completion in Project Management Skills For Leaders

These certifications highlight my proficiency in key areas such as data analysis, machine learning, Scrum methodologies, business analysis, and project management.