Business Analyst Project Management

Likitha Pasupulety

Business Analyst

Edison, NJ *****************@*****.*** 469-***-****

SUMMARY

Lead Business Analyst with 4 years of experience in requirement gathering, documentation, and reporting. Proficient in managing database systems, leveraging UI design, and using project management tools like Jira and MS Project. Skilled in data analysis and visualization with tools like Tableau, and strong in leadership, problem-solving, and effective communication. Aims to leverage expertise to optimize business processes and drive project success. EDUCATION

Master of Science in Management Science - The University of Texas at Dallas - Richardson, TX Dec 2023 Bachelor of Technology in Computer Science - Jawaharlal Nehru Technological University - Anantapur, India May 2020 SKILLS

Methodologies: SDLC, Agile, Scrum

Programming language: Python

Documentation: FRD, BRD, SRS, User Stories, Use Cases, BPM Workflows Project Management & Visualization Tools: Jira, Kanban, MS Project, Tableau, Power BI, MS Excel Analysis Skills: ETL, Cost/Benefit Analysis, KPI Analysis, GAP Analysis, Risk Analysis, SWOT analysis, Product Analysis Tracking/Other Skills: Jira, Microsoft Visio, Confluence, SAS, Figma, Lucid Charts, UI Designs Database: SQL, MySQL

Soft Skills: Analytical skills, Time Management, Leadership, Problem-solving, Negotiation, Decision-Making, Documentation and Presentation, Verbal communication

Operating System: Windows, Linux

WORK EXPERIENCE

AIG, TX Business Analyst Digital Transformation July 2023 – Present

● Implemented Python programming language for data manipulation and analysis, resulting in a 20% improvement in data processing efficiency.

● Crafted documentation including FRD, BRD, SRS, User Stories, Use Cases, and BPM Workflows, reducing project implementation time by 15%.

● Utilized project management tools such as Jira, Kanban, and MS Project to execute project plans, organize tasks, and track progress.

● Leveraged data visualization tools like Tableau to present insights and facilitate informed decision-making, resulting in a 20% improvement in data-driven decision-making processes.

● Performed ETL and managing databases using SQL to ensure data integrity and accessibility for analysis and reporting purposes.

● Developed documentation and presentations using tools such as Microsoft Visio, Confluence, and Lucid Charts, resulting in a 25% increase in stakeholder satisfaction.

● Analyzed and optimized business workflows to improve efficiency and productivity, resulting in a 20% reduction in process turnaround time.

● Exercised Time Management, Leadership, Problem-solving, Negotiation, and Decision-Making skills to complete projects on time and within budget.

ByteCraft Systems, India Business Analyst Jan 2019 - Nov 2021

● Enhanced project efficiency by 10% through Agile methodologies and MS Project planning.

● Prepared comprehensive documentation including Functional Requirements Document (FRD), Business Requirements Document

(BRD), and User Stories.

● Organized stakeholder meetings to define MVP, reducing project timelines by 20% with Lucidchart visualization.

● Increased client dashboard requests by 60% with KPI-driven templates and Power BI insights.

● Assisted in creating test cases and conducting user acceptance testing (UAT), ensuring the final product met client requirements and quality standards.

● Improved project success rates by 20% through effective collaboration and tool utilization. ACADEMIC PROJECTS

Agile Advertising Performance Tracking, Tableau-Excel Synergy

● Created Tableau Dashboard for tracking week-over-week advertising KPI changes, validated data in Excel for accuracy, and achieved 70% efficiency boost with Tableau templates, eliminating redundancy. Heart Disease Prediction using Machine Learning Algorithms, Predictive Analysis

● Applied supervised data mining algorithms (Decision Tree and Naïve Bayes) to predict heart disease, revealing Decision Tree Classifier as the superior model with a 91% accuracy rate compared to Naïve Bayes' 87% accuracy.

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