MOHIT MANU

MBA finance student with expertise in financial analysis, business intelligence, and data-driven decision-making. Proficient in Power BI, Excel, financial modeling, and data visualization, with practical experience in developing finance dashboards and conducting investment research. Aiming to utilize analytical problem-solving and reporting skills in a business analyst role to drive business growth and enhance strategic decision-making.

• Marketing Intern | KSF-Keerthi Security & Facility Management Service
• Data Analytics and Visualization Program | Accenture
• R Programming for Data Science | Infosys Springboard
• R Programming Fundamentals | Infosys Springboard
• Certified in Artificial Intelligence (AI) for Management – NPTEL, Score: 70%.
• Fundamental Deep Learning of Neural Networks
• SAP Analytics Cloud
• GST Bootcamp Course | YCRJ & Associates
• Treasury Management Training | Foreign Exchange

1 . Samsung financial dashboard using power Bi

• Built a finance analytics dashboard using Power BI to monitor revenue, profit, and financial trends.
• Created interactive reports and KPI visualizations using DAX and Power Query.
• Delivered actionable insights through financial performance analysis and dynamic dashboards.

 2 . Capstone Project : Exploratory study of Investment Behavior of Investors.

• Conducted a comprehensive study on investor behavior and investment decision-making factors.
• Analyzed the impact of risk tolerance, financial literacy, market trends, and demographic factors on investment choices.
• Collected and interpreted survey data using statistical and analytical techniques.
• Identified key patterns influencing investment preferences across different investor groups.
• Presented data-driven recommendations to support informed investment decisions.

Tools Used: Excel, SPSS/R/Python , Data Analysis, Statistical Techniques

3. Funded Trading Challenge – $10,000 Evaluation Account

• Successfully passed a $10,000 funded trading account challenge by achieving profit targets while adhering to strict risk management and drawdown rules.
• Developed and executed a rule-based trading strategy focused on favorable risk-reward ratios and capital preservation.
• Applied technical analysis, trade planning, and disciplined position sizing to maintain consistent performance.
• Demonstrated strong decision-making, risk management, and market analysis skills in a simulated professional trading environment.