Financial Analyst with less than a year in Data Analytics & Financial Modeling
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Highly analytical and results-oriented professional with 0.8 years of experience in financial planning & analysis (FP&A) and data analytics. Proven ability to develop financial reports, KPI dashboards, and perform variance analysis to drive data-driven decision-making. Skilled in SQL, Python (Pandas, NumPy), Excel, and Power BI for financial modeling, forecasting, and business performance improvement. Currently pursuing a Master of Science in Analytics and Systems.
University of Bridgeport
Master of Science · Analytics and Systems
August 1, 2023 – June 30, 2025
Osmania University
Bachelor of Commerce · Accounting
January 1, 202 – June 30, 2023
Invent Artificical
Financial Planning & Analysis (FP&A) Analyst
May 1, 2025 – Present
India
CodeTech IT solutions
Financial Analyst
November 1, 2022 – July 1, 2023
Hyderābād, Telangana, India
Predictive Analytics & Forecasting
June 18, 2026 – Present
Conducted predictive analysis of Data Science job opportunities and salary trends using Python, SQL, regression models, and forecasting techniques to identify market trends, evaluate future job demand, and support data-driven decision-making
Financial Performance Analysis of (TCS)
June 18, 2026 – Present
Conducted financial statement, ratio, variance, and trend analysis of Tata Consultancy Services (TCS) using Microsoft Excel, Pivot Tables, VLOOKUP, and XLOOKUP to evaluate business performance and support financial decision-making.
Cultural Fit Analysis
The candidate's academic projects and work experience show a consistent focus on financial analysis and data-driven decision-making, which aligns well with a target role in financial analysis. The diversity of tools and techniques used (Excel, SQL, Python, Tableau, Power BI) indicates adaptability and a willingness to learn new technologies. Their current role as an FP&A Analyst further strengthens the cultural fit for a financial analyst position.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills, attention to detail in data validation and reconciliation, and effective communication with stakeholders. Their experience in developing reports and dashboards indicates a proactive approach to providing actionable insights, which aligns well with operational needs for data-driven decision-making.