Mehreen Abdullah

I am currently pursuing a Master’s in Banking and Finance at Jamia Millia Islamia. With strong numerical skills and proven leadership abilities, I am eager to contribute to a professional environment where I can apply my knowledge, collaborate effectively with diverse teams, and drive meaningful results.

• English
• Kashmiri
• Urdu

• FINLATICS - Financial Market Experience Program (FMEP), Equity Research AnalystParticipated in the Finlatics Financial Market Experience Program, refining skills in DCF valuation and portfolio management strategies to assess investment opportunities effectively. • Conducted both fundamental and technical analysis, enhancing decision-making abilities through real-time market simulations. • Applied theoretical knowledge to practical, market-based scenarios, gaining hands-on experience in equity research and investment strategy. (July 2024- September2024)
• Comenuv | Social Media and Outreach InternCreated diverse content types—posts, images, videos, and infographics—customized for platform requirements and audience preferences. • Engaged actively with followers, responding to queries, addressing concerns, and fostering a vibrant online community. • Leveraged analytics tools to track reach, engagement, and extract insights for optimizing social media strategies. • Assisted in identifying potential collaborators, initiating outreach, and building partnerships to enhance brand visibility and grow the audience. (Jan 2020- May 2020)
• Team Head, Departmental Activities | Amar Singh College • Led departmental initiatives, successfully organizing events such as an International Women’s Day celebration by overseeing logistics, budgeting, and coordinating a team of 40 for seamless execution.
  • Collaborated with team members to strategically plan quarterly events and secured sponsorships through presentations to potential donors, strengthening departmental outreach and engagement. (2018 – 2020)

• Equity Stock Market: Concepts, Instruments, Risks and Derivatives by IIM Bangalore.
• Behavioral Finance by Duke University, USA.
• Women Entrepreneurship and Empowerment conducted by IIT Jammu.
• Financial Markets Experience Program with DCF Valuation by FINLATICS

FIFA Dataset EDA
Conducted exploratory data analysis on FIFA player statistics, focusing on data cleaning, feature engineering, and visualizations to uncover trends in player performance ratings and market values. Insights from this analysis support stakeholder decisions on player recruitment and strategy development.

• Tools: Python, Pandas, Matplotlib

Netflix Dataset EDA and Recommendation Analysis
Analyzed Netflix viewing data to explore user preferences, genre trends, and viewing patterns. This project contributed to a basic recommendation system that suggests content based on audience behavior, with real-world applications in targeted marketing and personalized user experiences.

• Tools: Python, Pandas, Seaborn

Credit Risk Application Segregation
Developed a predictive model to categorize loan applications into high- and low-risk groups, factoring in credit scores, income, and repayment history. The project showcases how predictive analytics can enhance decision-making in financial risk assessment and lending practices.

• Tools: Python, Pandas, Scikit-learn