Senior Data Analysis with 4+ years in Banking Operations & Data Analytics
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Analyst with 4 years of experience in banking operations at South Indian Bank, transitioning into data analytics. Hands-on experience handling 30,000+ customer records, 5–20 Cr in monthly transactions, and 20-50 loan applications per month with full compliance and accuracy. Completed a PG Certification in Data Analytics with Generative AI from IIT Guwahati, with working knowledge of SQL, Python, Power BI, and Advanced Excel. Strong domain foundation in BFSI, KYC/AML, and regulated-data handling, looking to apply analytical and process-optimization skills to data-driven roles.
Indian Institute of Technology Guwahati & Coding Ninjas
PG Certification · Data Analytics with GenAI
August 1, 2025 – June 30, 2026
National Post Graduate College, Lucknow
Bachelor of Commerce · Mathematics & Statistics
August 1, 2018 – June 30, 2021
SOUTH INDIAN BANK PVT. LTD
JUNIOR ASSOCIATE
September 1, 2021 – August 1, 2025
Delhi, Delhi, India
RETAIL SALES ANALYTICS
July 1, 2026 – Present
Performed end-to-end exploratory data analysis on retail sales data; cleaned and standardized raw transactional records to ensure data quality. Identified top-performing and underperforming product categories to inform inventory and marketing decisions. Segmented customers based on purchase behavior to support targeted marketing campaigns.
E-COMMERCE SALES & INVENTORY ANALYSIS
July 1, 2026 – Present
Analyzed sales trends across product categories to surface revenue opportunities and seasonal patterns. Built dashboards to monitor stock levels, helping minimize excess inventory and stock-outs.Translated raw transaction data into business-ready insights for marketing and supply-chain teams.
PHONEPE DIGITAL PAYMENTS
July 1, 2026 – Present
Cleaned and analyzed PhonePe transaction data across Indian states to identify usage patterns.Highlighted top districts by user base, popular transaction types, and dominant device brands per state.Visualized state-wise and category-wise transaction trends to support data-driven product decisions.
GenAI Powered Data Analytics Job Simulation
TATA (Forage)
July 1, 2026 – Present
Advanced Excel & Analytics
IIT Guwahati & EICT Academy (Top Performer)
July 1, 2026 – Present
Marketing Analytics
University of Virginia (Coursera)
July 1, 2026 – Present
Introduction to Data Science
Cognitive Class
July 1, 2026 – Present
Cultural Fit Analysis
The candidate's background in banking operations and recent transition into data analytics, coupled with personal projects, indicates a proactive and adaptable individual. The projects show an interest in diverse analytical applications (retail, e-commerce, digital payments). However, the current experience is heavily operational, and the target role is not specified, making a precise cultural fit assessment challenging without more context on the desired role's environment and team dynamics. The focus on personal projects for data analytics suggests self-motivation to learn and apply new skills.
Soft Skills & Operational Fit
The candidate demonstrates strong organizational skills through MIS reporting and transaction handling, attention to detail in compliance checks and reconciliation, and teamwork through mentoring and cross-departmental collaboration. Their banking background suggests a good fit for roles requiring structured processes and regulatory adherence.