Data Science with less than a year in data analysis, financial modeling, and Python.
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Assessing your cultural and operational fit
A Bachelor of Management Studies in Finance & Technology from the University of Mumbai, with hands-on experience in data analysis and financial modelling. Proficient in Python, SQL, Excel, and Power BI with a demonstrated ability to extract actionable insights from complex datasets and build automated solutions. Eager to apply academic knowledge and analytical skills in a finance or technology role to contribute to data-driven decision-making and strategic innovation.
University of Mumbai
Bachelor of Management Studies · Finance & Technology
August 1, 2023 – April 1, 2026
Banking System – Python (Object-Oriented Programming)
June 24, 2026 – Present
Developed a fully functional banking system using OOP principles in Python, implementing deposit, withdrawal, and balance inquiry features via class methods. Designed a modular BankAccount class with proper encapsulation, input validation, and edge-case testing to simulate real-world banking scenarios reliably.
Business Data Visualisation Report - Tata Consultancy Services (Excel & Power BI)
June 24, 2026 – Present
Analysed real-world business data for TCS using Power BI, designing interactive dashboards to visualise monthly revenue, country-wise sales, and top customer segments. Produced a formal report with strategic business recommendations derived from data patterns, identifying top-performing markets, seasonal revenue trends, and high-value customers.
Indian Blue-Chip Stock Market Financial Analysis (Excel & Google Sheets)
June 24, 2026 – Present
Analysed 5-year historical stock data for Reliance Industries, TCS, and HDFC Bank computing daily returns, volatility, and CAGR; applied 50-day moving averages and risk-return scatter plots. Delivered a comprehensive investment report comparing risk profiles and long-term growth potential across three major Indian equities.
Fundamentals of Financial Analysis
Coursera
February 1, 2026 – Present
Business Analysis & Process Management
Coursera
February 1, 2026 – Present
Data Analyst Certification
OneRoadmap
March 1, 2025 – Present
Python Certification
OneRoadmap
March 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse interest in both finance and technology, which aligns well with a data science role that often bridges these domains. The projects, though academic, show initiative and a willingness to apply learned skills to real-world (simulated) scenarios. The breadth of skills listed (Python, SQL, Excel, Power BI, financial analysis) suggests adaptability and a broad learning curve, which are positive indicators for cultural fit in a dynamic data science team. However, the lack of professional experience means cultural fit is primarily inferred from academic engagement and self-driven learning.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Problem-Solving, Communication, Teamwork, and Data Interpretation. These are crucial for a Data Science role, indicating a potential for good operational fit within a team-oriented, analytical environment. However, without direct work experience, the practical application and depth of these skills are yet to be validated.