CV

Professional Summary

I am a results-oriented Financial Analyst with a passion for leveraging data to drive strategic decision-making and organizational growth. With a strong foundation in financial analysis, forecasting, and data visualization, I excel at translating complex data into actionable insights that align with business objectives. My approach combines analytical precision, strategic foresight, and a commitment to innovation, enabling me to identify opportunities, mitigate risks, and deliver measurable outcomes.

Dedicated to continuous learning and professional growth, I stay ahead of industry trends and adapt quickly to evolving challenges. Known for my ability to collaborate effectively, communicate clearly, and solve complex problems, I strive to empower organizations to achieve operational excellence and long-term success.

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Skills

Financial Modeling Data Analysis & Interpretation Advanced Excel Skills Valuation Techniques Python
PowerBi Tableau Budgeting & Forecasting Machine Learning

Project Experience

Equity Valuation of JNJ and Pfizer

Employed a comprehensive set of financial metrics, including Capital Asset Pricing Model (CAPM), Weighted Average Cost of Capital (WACC), Free Cash Flow (FCF), Required Rate of Return, and the Compound Annual Growth Rate (CAGR), in conjunction with the Equity Valuation Model, to assess the intrinsic value of the stock and determine whether it was undervalued or overvalued relative to market expectations.

Future PLC and Media and Games Invest M&A Report

Leveraged the Capital Asset Pricing Model (CAPM), Weighted Average Cost of Capital (WACC), Free Cash Flow (FCF), Terminal Value, and Long-Term Growth Rate to develop comprehensive Equity Valuation and Acquisition Valuation models. These models were employed to assess the potential gains from an acquisition, as well as to determine the intrinsic value of the acquiring company's stock in relation to the market.

Diagnosing Breast Tumor as Malignant or Benign

Analyzed breast cancer diagnosis as malignant or benign using Python, leverage a dataset of 30 features to perform Data Cleaning, Interpretation, Visualization, along with Feature Selection techniques like PCA, Decision Tree, KBest, and LASSO to build supervised machine learning models, such as Decision Tree Classifier and Logistic Regression, to predict whether the tumor is malignant or benign to achieve 97%+ accuracy with 0 benign tumors being predicted as malignant, and 99%+ accuracy with 1 benign tumor being predicted as malignant.

Education

2022 - 2024

Hult International Business School

Major in Business Analytics and Finance
Distinction (GPA: 3.92)
Awarded the Academic Excellence Scholarship and Visionary Woman Scholarship
Studied in Boston, MA and London, UK

Interests

Outside of my professional life, I have a deep passion for cooking, baking, and reading. Cooking allows me to explore my creativity, experimenting with new flavors and techniques. Baking, on the other hand, provides a sense of precision and patience, turning simple ingredients into something magical. I also find great joy in reading, whether it's delving into captivating fiction or exploring non-fiction that broadens my knowledge and perspectives. These hobbies keep me grounded and inspired, offering a perfect balance to my analytical work.