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Data Analyst with less than a year in financial data analysis & reporting
Detail-oriented Data Analyst and MBA Finance & HR candidate with hands-on experience in data collection, financial reporting, and statistical analysis. Proficient in Excel and data visualization; adept at interpreting complex datasets, identifying trends, and delivering data-driven recommendations to support business decision-making. Demonstrated ability to ensure data accuracy, create structured reports and dashboards, and collaborate cross-functionally to improve business performance. Certifications in SAP FI-CO and Tally ERP 9 & GST complement a strong analytical and problem-solving foundation.
Central University Karnataka
MBA · Finance & Human Resources
August 1, 2023 – June 30, 2026
University of Calicut
B.Com · Finance
August 1, 2020 – June 30, 2023
R&R Associates
Finance & Data Intern
May 1, 2025 – June 1, 2025
Pālghāt, Kerala, India
MBA Dissertation – Primary Research
January 1, 2024 – December 31, 2025
Designed and executed a primary research study with 168 respondents to analyze the impact of digital payment adoption on cash flow and profitability in rural OAEs. Collected, cleaned, and analyzed complex datasets using SPSS — conducting Pearson correlation, regression analysis, t-tests, and ANOVA — demonstrating advanced data analysis and reporting techniques. Identified key trends and patterns in payment behavior; both research hypotheses accepted, validating data-driven insights. Visualized and communicated findings through charts, tables, and a 14-slide PowerPoint presentation with speaker script for academic panel. Ensured data accuracy and quality throughout the survey design, data entry, and statistical testing phases.
Financial performance analysis of Nallepilly Co-operative Service Bank (2018-2023)
January 1, 2020 – January 1, 2023
ratio analysis, trend identification, and reporting
SAP FI-CO: Certified
Unknown
June 1, 2026 – Present
SPSS
Unknown
June 1, 2026 – Present
Tally ERP 9 & GST: Certified
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in Finance and HR, coupled with project experience in financial analysis and digital payment impact, suggests a strong interest in business-oriented data analysis. The diversity of projects (academic research, internship, job simulation) indicates adaptability and a proactive approach to learning. However, the limited professional experience and academic focus might require a team that can provide mentorship and structured growth opportunities.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, attention to detail, and the ability to collaborate cross-functionally, as evidenced by their internship and academic projects. Their experience in translating raw data into actionable insights suggests a practical, results-oriented approach. The focus on financial data aligns well with roles requiring precision and business acumen.