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Graduate Assistant Resume

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New York, NY

SUMMARY:

  • Experienced Analyst well versed leading projects of varying sizes and complexity, strengthening internal controls and improving the efficiency in financial reporting. Proven ability to undertake difficult mandates with tight deadlines; characterized as persistent, personable, and driven. Offering a master’s degree in Finance & Information Systems backed by three years’ experience managing complex accounting systems and providing value - based analysis that drive decisions made by leadership.
  • Expansive financial analyst experience; background reflects successes managing large portfolios, providing value-based analyses, forecasting and financial modeling
  • Proven ability to benchmark with internal business partners, collaborate with executive level management, optimize processes and effectively leverage best practices
  • Experience with data collation and reporting for analytics and issue resolution
  • Good knowledge on database management systems such as MS Access, complex SQL queries and RDBMS concepts
  • Excellent knowledge of business analytics tools such as Tableau, MS Project, MS Visio, Mockups, Sequence - diagram, Screen mockups (wireframes)
  • Good knowledge on database management systems such as MS Access, complex SQL queries and RDBMS concepts
  • Familiarity with Waterfall, Agile - SCRUM & Rational Unified Process (RUP) development methodologies
  • Experienced in all phases of the Software Development Life Cycle (SDLC) including requirements gathering, design, development, testing and deployment.

PROFESSIONAL EXPERIENCE:

Confidential,New York,NY

Graduate Assistant

Responsibilities:

  • Developed a database management system to automate laptop loaning system by collaborating with key stakeholders to improve and streamline the process management
  • Prepared detailed documentation for requirements, use cases, ERD, functional and non- functional requirements
  • Conducted technical business analysis, managed system and user acceptance testing, collated user feedback, stakeholder management, documentation, problem resolution and release management
  • Provided technical assistance to the students in using various Business Intelligence tools
  • Tutored students for solving their technical software related issues
  • Conducted workshops (Tableau, SQL, MS Access) to help students understand various visualization software and query data
  • Worked with Bloomberg terminals and library research databases to get required data
  • Delivered other administrative support to the faculty as needed

Confidential

Senior Analyst

Responsibilities:
  • Managed all aspects of the project e.g. delivery, resource forecasts, project administration including financial and progress reporting as well as coaching and managing people working on the project
  • Built data visualizations using MS Excel and Tableau to effectively communicate insights to management
  • Migrated existing system reports to the new SAP system by collaborating with the software development team which helped to improve data management capabilities and streamlined the financial reporting system
  • Identified user requirements by working with many key individuals from the business and IT, liaised with leadership to develop a detailed functional specification
  • Experience working in scrum or agile development environment supporting a software product
  • Developed annual budgets and forecasts and reviewed trends; and explained actual v/s budgeted variances
  • Communicated with key business partners in timely and effectively to develop and execute projects productively
  • Prepared operational forecasting models and analysis to be used by operational leads to help monitor performance and risks/opportunities for various stakeholders
  • Organized and hosted progress meetings with senior management to influence decision making

Confidential

Analyst

Responsibilities:
  • Analyzed budgets, financial reports and projections for accurate reporting of financial standing
  • Monitored and analyzed financial, statistical and operational data trends
  • Prepared monthly, quarterly, and ad-hoc reporting for the leadership and business stakeholders
  • Assisted in preparation of agenda for quarterly and year end audit committee meetings
  • Worked closely with the Finance Team on the review and reconciliation of funds
  • Created and maintained precise and accurate models, charts, and reports (such as profitability, cost/benefit analysis reports) to help gauge the company's financial standing
  • Analyzed and reconciled accounts; analyzed cause of discrepancies and acted to ensure accounts are balanced
  • Reviewed monthly financial results of Company and provided explanations for variances from budget /forecast, identify concerns or opportunities for improvement and discuss with the management team

Confidential

Responsibilities:
  • Monitored and analyzed financial, statistical and operational data trends
  • Developed forecasting tools and dashboards to analyze revenue variance, business pipeline, and industry trends
  • Studied financial statements, revenue forecasting reports, and bank reconciliation statements to examine the company's current financial standing
  • Reviewed the collection management process and suggested the most reliable source of income
  • Analyzed the operating cycle of the company and recommended techniques such as automated billing process that helped in speedy collections
  • Identified the process inefficiencies through gap analysis

Confidential

Financial Analyst Intern

Responsibilities:
  • Evaluated and reported business performance of past 5 years and carried out a research study to gauge the performance of PSU banks v/s Private banks
  • Performed customer satisfaction survey that helped improve their commitment level
  • Acquired 115 new accounts as against a target of 96 along with a team of 10 people in a period of one month.
  • Studied the deposit mobilization and loan process and provided recommendations to improve it
  • Helped to identify opportunities to improve process efficiency, streamline collection and better presentation of data

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