Apr 2024 – Sep 2024 · 5 mos · Liverpool, England, United Kingdom · On-site

• During my MSc programme, I gained hands-on experience with advanced data science methodologies, machine learning algorithms, and artificial intelligence applications. I excelled in applying Python-based libraries for data manipulation, visualisation, and model performance optimisation.
• Key Project:
• 🔍 Unlocking the Power of Data Augmentation Techniques for Human Activity Recognition:
• 🎯 Achieved 93% accuracy using GANs and 82% with CPC on large-scale datasets (UCI-HAR and MHEALTH).
• 🧠 Developed and trained four machine learning models, improving data augmentation strategies.
• 🏅 Earned top-10 project recognition and a distinction from the university.

Jan 2021 – Jun 2021 · 5 mos · Mumbai, Maharashtra, India · On-site

• Project: Artificial Intelligence in Healthcare Sector
• Objective:
• 🧠 Conducted an in-depth study and analysis of Artificial Intelligence applications within the healthcare sector, focusing on potential improvements in diagnostics, treatment personalization, and patient outcomes.
• 📊 Analyzed various AI models and algorithms, evaluating their effectiveness and applicability in healthcare scenarios, such as disease prediction, medical imaging, and patient monitoring.
• 🏥 Researched advancements in AI-driven healthcare technologies, identifying key trends and future opportunities for AI to enhance healthcare efficiency and accessibility.
• 📈 Presented findings through visualizations and detailed reports, showcasing the impact of AI on patient care and operational workflows.
• 🔍 Explored ethical and regulatory considerations, ensuring a comprehensive understanding of the challenges and opportunities AI presents in healthcare.

Jan 2020 – Jun 2020 · 5 mos · Mumbai, Maharashtra, India · On-site

• Project: Robotic Process Automation in Banking Sector
• Objective:
• 🤖 Conducted a comprehensive study on the implementation of Robotic Process Automation (RPA) in the banking sector, focusing on enhancing operational efficiency and accuracy.
• 🏦 Analyzed various RPA use cases within banking, including account reconciliation, fraud detection, customer onboarding, and compliance reporting, identifying areas with high automation potential.
• 📊 Evaluated the impact of RPA on process optimization, cost reduction, and error minimization, highlighting benefits for operational workflows in banking.
• 📈 Assessed the challenges, regulatory considerations, and future opportunities for RPA in banking, providing recommendations for effective implementation strategies.
• 📋 Compiled insights into RPA’s transformative role in banking through detailed visualizations and reports, showcasing its potential to streamline processes and improve service delivery.

May 2019 – Aug 2023 · 4 yrs 3 mos · Bengaluru, Karnataka, India · On-site

• As a Business and Data Analyst at AON, I spearheaded benefits design and implementation projects for multinational clients, ensuring regulatory compliance and streamlined client onboarding. By leveraging advanced tools like Power BI and SQL, I delivered actionable insights that enhanced decision-making processes. I implemented VBA-based automation solutions, reducing report generation time by 97% while ensuring 100% data accuracy.
• Key Achievements:
• ✅ Successfully completed 100+ projects, collaborating with international teams across time zones.
• 🚀 Boosted operational efficiency by 25% through KPI optimisation and improved reporting processes.
• 🛠️ Automated data pipelines for a financial analysis team, enhancing productivity for 10+ employees.
• ⏳ Reduced project delivery timelines by 20%, applying agile frameworks and fostering cross-functional collaboration.
• 🏆 Awarded the 'Gold Award' (2022) and 'Quality First Award' (2023) for delivering exceptional accuracy and efficiency.