Aparajita Sengupta

Analytical and highly motivated finance graduate with a Master of Applied Finance from the Australian National University. Strong academic foundation in financial reporting, corporate finance, investment analysis, and international finance, complemented by hands-on experience with regression modelling, portfolio construction, and valuation techniques. Skilled in interpreting complex financial data, performing in-depth quantitative analysis, and developing data-driven investment insights. Adept at using statistical and data visualization tools to support financial decision-making. Eager to apply strong technical and problem-solving skills in a Financial Analyst role within a dynamic and growth-oriented organization.

1) Dissertation [Department Of Commerce, St. Xavier’s institute, Kolkata]- Risk Associated With Bitcoin Transactions: loosing its footprint globally

· Project Scope & Content: The project provides a comprehensive overview of Bitcoin, covering its decentralized nature, technical workings, history, and major security and operational risks (social, legal, economic, technological). It includes detailed chapters analyzing these aspects and highlights the practical limitations of using Bitcoin as a digital currency.

· Key Findings: Despite Bitcoin's theoretical appeal as a decentralized currency, the study reveals significant security and risk-related issues. A Monte Carlo simulation was conducted to predict Bitcoin's 2019 price, indicating a downward trend and a decline in global enthusiasm compared to its early years.

2) Graphical data analysis and R software assignment [80%- High Distinction Received]

• [Part A]- consisted of Critical Graph Evaluation: The assignment shows development of the ability to critically analyse data visualizations by identifying weaknesses such as poor axis scaling, inappropriate graph type, and unclear color schemes—skills essential for effective communication of data.
• [Part B] - Social Behavior Insight: The dataset is used to explore grooming behaviour as a form of social bonding among otters, highlighting the role of grooming in maintaining group cohesion.
• Group Dynamics Analysis: The study investigates grooming distribution within groups, helping understand whether grooming is mutual or biased toward certain individuals.

3) Portfolio Assignment- 

• Understanding Political Influence on Markets: Developed insight into how shifts in political leadership—specifically between Australia's Labor Party and Liberal/National Coalition—can influence market behavior, economic policy, and asset performance.
• Historical Analysis for Decision-Making: Gained experience in analyzing historical market returns over four decades, helping to assess how different political regimes have historically impacted financial returns and risks.
• Portfolio Risk and Return Evaluation: Learned to evaluate portfolio allocation strategies across various asset classes (Cash, Australian Equity, Direct Property, Fixed Income) based on political contexts and potential outcomes.

• Brainnest Financial Course certification
• Cleared Chartered Accountancy (intermediate) Group I with distinction in accounts