Data Analyst with 2+ years in financial data analysis & reporting
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented aspiring Business Analyst with an MBA in Finance and a strong background in financial data integrity, reporting, and visualization. Skilled in transforming complex datasets into actionable insights for global market participants using SQL, Advanced Excel (VBA/Macros), and Tableau. Proven track record in supporting high-stakes financial decision-making through accurate KPI tracking and automated reporting in fast-paced environments.
Jawaharlal Nehru Technological University, Kakinada
MBA · Finance
January 1, 2023 – January 1, 2025
Acharya Nagarjuna University, Guntur
B.Sc
January 1, 2019 – January 1, 2022
Validus Fintech Private Ltd.
Fund Accounting Analyst - Management Trainee
November 1, 2025 – Present
India
Procapitas
Investment Banking Intern
June 1, 2025 – August 1, 2025
India
Satya Sri Clinical Laboratory
Accountant
July 1, 2022 – September 1, 2023
India
Financial Analysis - Siemens Ltd.
January 1, 2025 – Present
- Analyzed multi-year financial and operational data. - Identified key trends in profitability, liquidity, and efficiency.
Portfolio Construction Using Single Index Model (Nifty 50)
January 1, 2025 – Present
- Analyzed stock data and built optimized portfolio using risk-return metrics. - Visualized portfolio performance and returns trends.
Financial Modeling and Valuation - Nestlé
January 1, 2025 – Present
- Cleaned and analyzed multi-year financial datasets for valuation modeling. - Built structured Excel models and summary dashboards.
IBM Data Analyst professional certification
IBM
June 1, 2026 – Present
Financial Modeling and Valuation Analyst certification (FMVA)
FMVA
June 1, 2026 – Present
Google Data Analytics professional certification
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's background in finance and data analysis, coupled with ongoing certifications, indicates a strong drive for continuous learning and professional development. Their experience in diverse settings (Fintech, Investment Banking, Clinical Laboratory) suggests adaptability. The focus on data integrity and process automation aligns with a results-oriented culture. However, the projects are academic, and the professional experience is relatively short, limiting the assessment of long-term cultural alignment in a fast-paced corporate environment.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, attention to detail, and problem-solving skills, which are crucial for a Data Analyst role. Their experience in automating reports and ensuring data accuracy indicates a proactive and efficient operational approach. The academic projects and work experience suggest an ability to collaborate and communicate findings effectively, although direct evidence of cross-functional collaboration is limited.