I am a passionate data science and finance professional with a solid foundation in commerce and technology. With expertise in Python, SQL, Power BI, and statistical modeling, I enjoy solving complex business problems through data-driven insights and predictive analytics. My primary interests lie in FinTech, quantitative finance, and AI, where I strive to bridge the gap between business strategy and data science.

I have gained valuable experience through internships, contributing to projects in credit risk modeling, fraud detection, and business intelligence, optimizing business processes and improving decision-making. My technical proficiency in machine learning basics, data visualization, and ETL processes has enabled me to tackle real-world challenges effectively.

Beyond academics and work, I am an active volunteer in community outreach programs with DLLE and the Rotaract Club, where I develop my leadership and organizational skills. My goal is to become a data scientist specializing in quantitative finance, using AI-driven solutions to innovate and transform financial systems.

Throughout my academic and professional journey, I have continuously sought opportunities to apply my technical skills to real-world financial challenges. My experience in Python and SQL has allowed me to work extensively with structured and unstructured data, extracting valuable insights that drive strategic decision-making. Leveraging statistical modeling and predictive analytics, I have contributed to optimizing credit risk assessment frameworks and enhancing fraud detection mechanisms. By utilizing Power BI and other visualization tools, I have effectively translated complex datasets into meaningful business insights, helping organizations make data-driven decisions with confidence.

My interest in FinTech and AI has fueled my passion for exploring innovative solutions that redefine traditional financial practices. I am particularly fascinated by algorithmic trading, risk management automation, and AI-driven investment strategies. As the financial landscape evolves with emerging technologies, I am committed to staying at the forefront of advancements in quantitative finance and machine learning. I continuously engage in self-learning through online courses, research papers, and hands-on projects that challenge me to develop smarter financial models and automated decision-making systems.

Beyond my technical expertise, I strongly believe in the power of leadership and community engagement. Through my involvement with DLLE and the Rotaract Club, I have honed my ability to work collaboratively, manage teams, and organize impactful initiatives that contribute to social well-being. These experiences have not only strengthened my interpersonal and problem-solving skills but also reinforced my belief in using technology for societal betterment.