A fresh graduate with a solid foundation in economics and data analytics, enriched by international study experience. Possess strong analytical and problem-solving skills, with knowledge of finance and machine learning. Roles in various capacities have developed teamwork, leadership, and communication abilities. Proficient in multiple programming languages and data analysis tools, eager to apply my skills in a challenging professional environment.
RStudio programming
Nestle: A case study on Financial Hedging February
• Gained a deep understanding of financial risk exposure and hedging strategies.
• Developed expertise in analyzing and interpreting complex financial statements.
• Enhanced ability to identify and evaluate financial risks and hedging strategy effectiveness.
• Improved comparative analysis skills by benchmarking against competitors.
• Learned to assess the impact of global events on financial strategies and to consider non-financial factors like ESG and CSR.
• Strengthened skills in compiling comprehensive reports and presenting insights and recommendations clearly.
Predictive Analysis of Stock Market Trends in the Indian Stock Exchange Using Machine Learning Algorithms
• Gained expertise in machine learning algorithms for stock market prediction.
• Collected and preprocessed extensive historical stock market data and economic indicators.
• Conducted exploratory data analysis to identify patterns and trends.
• Developed and engineered features to enhance predictive model accuracy.
• Implemented and trained various ML algorithms.
• Fine-tuned models and applied best-performing models for real-time stock price prediction.
• Strengthened skills in compiling comprehensive reports and presenting insights and recommendations clearly.
• Certificate ESG Foundation Courses (Matters Academy)
• Media Information Literacy Program, (Journalism Education Foundation)
• The Young Entrepreneurs 2019-2021 (Entrepreneurship)
• The Young Entrepreneurs 2019-2021 (Entrepreneurship)