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Data Science with 10+ years in FinTech & Analytics
Results-driven FinTech and Data Analytics professional with 12+ years of leadership experience in banking and retail operations, now transitioned into Data Science, Business Analytics, and AI/ML. Holds a Master of IT in Business (FinTech & Analytics) from Singapore Management University. Strong expertise in Python, SQL, machine learning, Power BI, Tableau, and financial analytics, with proven ability to convert complex data into actionable business insights. Seeking Data Analyst, Business Analyst, Data Scientist, or AI/ML Engineer roles.
Rajeev Gandhi Memorial College of Engineering & Technology
Bachelor of Technology · Computer Science Engineering
August 1, 2004 – June 30, 2009
Singapore Management University (SMU)
Master of IT in Business · Financial Technology & Analytics
N/A – June 30, 2025
Web Synergies Pte Ltd
AI & Business Analytics Intern
May 1, 2025 – October 1, 2025
Singapore, Central Singapore Community Development Council, Singapore
Indian Overseas Bank
Branch Manager
November 1, 2011 – August 1, 2024
India
Retail Sales Forecasting
June 23, 2026 – Present
Time-series analysis for sales trend prediction.
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Interactive Power BI dashboard for KPI tracking.
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Regression modeling & EDA using Python and scikit-learn.
View ProjectGoogle Data Analytics Certificate
June 1, 2026 – Present
CAIIB
Unknown
June 1, 2026 – Present
IBM Data Science Professional Certificate
IBM
June 1, 2026 – Present
JAIIB
Unknown
June 1, 2026 – Present
Microsoft AI & ML Engineer
Microsoft
June 1, 2026 – Present
Microsoft PL-300: Power BI Data Analyst
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse background, transitioning from banking leadership to data science, suggests adaptability and a strong learning orientation. Their experience in leading financial inclusion initiatives and managing teams indicates a collaborative and impact-driven mindset. The pursuit of multiple certifications and a Master's degree in a new field highlights a proactive approach to skill development and a commitment to growth, aligning well with a culture of continuous improvement.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, team management, and stakeholder communication skills from their extensive banking background. Their ability to drive digital adoption and optimize processes suggests a proactive and results-oriented work attitude. The transition into data science indicates adaptability and a strong drive for continuous learning, which are valuable for operational fit.