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Senior Data Analysis with 10+ years in Banking & Data Analytics
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Analytical and results-driven Banking & Data Analytics professional with over 11+ years of experience in credit risk management, customer operations, cross-selling, financial analysis, portfolio management and data-driven insights. Transitioned into the world of data analytics. Proven ability to leverage analytics tools such as SQL, Python, Power BI, Tableau, and Excel to transform complex datasets into actionable insights with relevant experience of 4 years, supporting strategic decisions. Skilled in developing financial dashboards, monitoring KPIs, performing sector benchmarking, Finance, and presenting data-driven investment insights to leadership teams.
AlmaBetter
Master's Program · Data Science
August 1, 2025 – Present
Gautam Buddha University
Bachelor of Engineering · Electronics & Communication
August 1, 2012 – June 30, 2012
UNO Digital Bank
Senior Data Analyst
January 1, 2026 – Present
Bengaluru, Karnataka, India
Canara Bank
Assistant Manager
July 1, 2014 – July 1, 2025
Bengaluru, Karnataka, India
Punjab National Bank
Head Teller
November 1, 2013 – July 1, 2014
Lucknow, Uttar Pradesh, India
Power BI dashboard
Unknown
June 1, 2026 – Present
EDA-PROJECT
GitHub
June 1, 2026 – Present
JAIIB
Unknown
January 1, 2015 – Present
Cultural Fit Analysis
The candidate's long tenure in banking (Canara Bank for 11 years) suggests loyalty and stability. Their experience across different banking roles (Head Teller, Assistant Manager, Senior Data Analyst) indicates adaptability and a willingness to grow within an organization. The pursuit of a Master's in Data Science while working shows a commitment to continuous learning and professional development, aligning with a culture that values growth and skill enhancement. The diverse project experience, though limited in detail, points to an ability to apply data analysis in various business contexts within the financial sector.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills such as attention to detail, cross-functional collaboration, and presentation skills, which are crucial for a Senior Data Analyst role. Their experience in facilitating internal learning programs and process improvement initiatives suggests a proactive approach to operational efficiency and team development. The ability to manage time under tight deadlines and deliver actionable insights indicates a good operational fit for a demanding data analysis environment.