Business Analyst

Name: Sameena Nazia Nargis Shaik

Email: *******.*******@*****.***

Contact: +1-216-***-****

Generative AI Certified Agile Certified Practitioner (PMI-ACP) CSPO certified CSM certified AI/ML Hands-On Data Annotation Certified Microsoft Power BI Certified Tableau certified

Certified Business Analyst with 5+ years of experience in business process analysis, data analytics, and software development life cycle (SDLC) across high-growth environments. Adept at bridging the gap between business and technology by transforming complex requirements into actionable solutions.

Professional Summary:

•Experienced in cross-functional collaboration with development, QA, and operations teams ensuring project alignment with business objectives.

•Served as a Subject Matter Expert (SME), providing training to new hires on internal tools and best practices.

•Strong decision-making skills in ambiguity, balancing technical feasibility with business needs.

•Skilled in business process reengineering (BPR) and identifying operational inefficiencies, leading to improved workflows and cost reductions.

•Extensive experience in GAP Analysis, Impact Analysis, and recommending process improvements. Ability to perform ETL on Excel (including VBA, pivot tables, array functions, power pivots, etc.) and SQL Queries (including Joins, strings, Where, Having, Order By etc.,)

•Developed interactive dashboards using Tableau and Power BI, enhancing executive decision-making through data visualizations.

•Demonstrated experience in Scrum ceremonies, such as Backlog Grooming, Sprint Planning, and Sprint Retrospectives, with a deep understanding of agile processes and techniques like INVEST for writing user stories and MoSCoW for prioritization.

•Excellent in facilitating clear communication between stakeholders, business teams, and technical teams, ensuring project goals and requirements are understood and executed effectively. Strong organizational skills, a collaborative mindset, and the ability to manage complex, multi-disciplinary tasks while fostering positive relationships across teams.

•Proficient in data analysis, legal settings business analysis, and data mining to support decision-making. Ability to lead projects, resolve challenges, and contribute to the successful delivery of business-critical initiatives.

•Identifying project blockers, root causes of issues, and proposing solutions. Conducting risk assessments and suggesting mitigation plans.

•Writing business cases, process flows, and functional specifications. Creating user manuals and providing training to end-users.

•Strong background in Agile (Scrum, Kanban) and Waterfall methodologies, ensuring efficient project execution.

•Proficient in user story writing, backlog grooming, sprint planning, sprint reviews, retrospectives, and daily stand-ups via Miro board.

•Experienced in facilitating JAD sessions, focus groups, and document analysis to elicit and document business requirements.

•Expertise in User Acceptance Testing (UAT)—writing test cases, executing test scripts, identifying defects, and ensuring software meets business needs.

•Strong collaboration with QA teams to validate performance, reliability, and fault tolerance.

•Conducted UAT for Amazon Seller Accounts, ensuring smooth transitions in product detail pages, fulfillment, payments, and inventory updates.

•Proficient in BPMN, UML diagrams (Use Case, Activity Flow, Entity-Relationship, and Data Flow diagrams) using Lucidchart, draw.io, and MS Visio.

•Extensive experience in creating and maintaining BRDs, FRDs SRDs, writing User Stories, and technical documentation in SharePoint, OneDrive, Teams, and Confluence.

Certifications:

Certified Scrum Product Owner

Certified Salesforce Business Analyst

Certified Microsoft SQL

Agile Service Management

Professional Business Analyst

Certified ScrumMaster

Education:

M.s in information systems from Cleveland State University, Ohio August 2022 – December 2023

B.s in Electrical and Electronics Engineering from JNTUH, India September 2012 – September 2016

Projects during Masters:

SQL Database Project Store Inventory and Sales Management

•Designed and implemented a relational database for a retail store, ensuring efficient inventory and sales management.

•Developed optimized SQL queries to track stock levels, sales transactions, and revenue trends.

•Created stored procedures, triggers, and indexing strategies to enhance database performance.

•Designed Entity-Relationship Diagrams (ERD) using MS Visio to map business processes and system interactions.

•Conducted data validation and normalization to eliminate redundancies and improve system efficiency.

•Utilized SQL Server/MySQL for backend data management, ensuring seamless data retrieval and reporting.

•Developed dynamic reports and dashboards using Tableau and Power BI for real-time inventory and sales insights.

•Ensured data integrity and security through effective ACID compliance and backup strategies.

Business Analysis Project: Process Improvement & Visualization using MS Visio

•Led a business process analysis project, applying advanced Business Process Modeling and Notation (BPMN)techniques.

•Utilized MS Visio, Lucidchart, and draw.io to create detailed process flowcharts, swimlane diagrams, and UML diagrams for complex business workflows.

•Conducted GAP analysis to identify inefficiencies and recommended process optimizations.

•Trained on JAD sessions, stakeholder interviews, and workshops to gather business requirements and document findings.

•Developed impact analysis reports to assess the effect of proposed process changes on different business units.

•Presented comprehensive business process reengineering (BPR) recommendations to improve operational efficiency and reduce costs.

Project Management Case Study: Equipment Manufacturing Company (MS Project)

•Designed and executed a project management strategy for an equipment manufacturing firm, focusing on planning, resource allocation, and risk mitigation.

•Utilized MS Project to develop a detailed project schedule, Gantt charts, and Work Breakdown Structures (WBS).

•Managed cross-functional teams, ensuring alignment on project scope, deliverables, and timelines.

•Applied Agile and Waterfall methodologies to balance iterative development and structured project execution.

•Conducted risk analysis and mitigation planning, ensuring timely identification and resolution of project bottlenecks.

•Monitored key performance indicators (KPIs) and generated reports for stakeholders using Power BI and Excel dashboards.

•Delivered a successful project completion plan, optimizing production timelines, minimizing resource waste, and improving overall efficiency.

Technology Stack:

•Databases: SQL (PostgreSQL, MySQL, SQL Server)

•Data Analysis & Visualization: Excel (Power Query, Macros), Tableau, Power BI, Pandas, NumPy

•Cloud Platforms: AWS (S3, Lambda, RDS)

•CI/CD & Tools: Jira, Confluence, GitHub, Jenkins

•Documentation & Modeling: BPMN, UML, Lucidchart, Visio

Key Skills:

• Strong understanding of language linguistics, syntax, and grammar.

• Extensive experience in linguistic annotation and data analysis.

• Proficient in project management and collaboration with cross-functional teams.

• Excellent communication and documentation skills.

• Skilled in developing and implementing complex ontology systems.

• Experienced in prioritizing and managing multiple projects.

• Knowledgeable in data privacy standards and best practices.

• Familiar with advanced data annotation tools and techniques.

• Proficient in using tools like Tableau, PowerBI, and Excel for data analysis and visualization.

Professional Experience:

Marketing Program Specialist

Cleveland State University

Part-Time, on-site September 2022 – December 2023

•Assisted in the planning and execution of university events, ensuring seamless coordination between marketing, operations, and student engagement teams.

•Conducted data analysis on CSU's marketing strategies, leveraging tools like Excel and Tableau to evaluate the effectiveness of digital campaigns, event promotions, and student outreach programs.

•Utilized business analysis techniques to assess CSU’s marketing initiatives, identifying process gaps and recommending improvements to increase student engagement and event attendance.

•Managed stakeholder communication, collaborating with faculty, student organizations, and external vendors to align marketing efforts with university goals.

•Developed market research reports, analyzing competitor universities' outreach programs and proposing data-driven recommendations for enhancing CSU's brand presence.

•Created business process models and marketing workflows using Lucidchart and MS Visio, optimizing the event planning and promotional strategies.

•Assisted in the segmentation and targeting of student demographics, refining promotional strategies based on survey feedback and engagement metrics.

•Leveraged Google Analytics and social media insights to track marketing campaign performance, optimizing digital outreach and social media engagement.

•Applied Agile methodologies to marketing projects, conducting sprint planning, backlog prioritization, and continuous improvements for event management workflows.

•Drafted marketing content, email campaigns, and social media posts, ensuring alignment with CSU’s branding guidelines and strategic goals.

•Designed and distributed survey questionnaires to gather student feedback on events and marketing effectiveness, applying data analysis to improve future campaign strategies.

•Supported the development of CSU’s CRM strategies, improving student outreach, engagement tracking, and lead nurturing for enrollment initiatives.

•Created dashboard reports on marketing KPIs, tracking event success rates, student participation trends, and ROI of promotional activities.

Data Analyst

Apple, Hyderabad

Full-Time, on-site Nov 2019 – August 2022

•Conducted comprehensive data annotation and analysis tasks for AI language model Siri by varies business analysis,

•utilizing requirement gathering with diverse metrics and analytical approaches to assess and enhance its responses,

•including categorizing and labelling data to identify patterns and areas for improvement.

•• Utilized advanced data annotation tools and techniques to ensure high-quality data inputs for machine learning model

•development.

•• Executed probing dialogs and wrote user scenarios (user stories on dashboard) to evaluate the safety and effectiveness

•of AI language models, providing actionable feedback for model improvement with text (structured and unstructured),

•image, audio, and/or video data annotation.

•• Collaborated with cross-functional teams to review model performance of text, audio, an d Video AI datasets, identify

•vulnerabilities, and develop strategies for enhancing accuracy and reliability. Designed and implemented the strategies

•for efficient AI virtual user engagement and response accuracy.

•• Implemented targeted strategies and action plans to continually elevate Siri's UI contributing to an ongoing cycle of

•improvement. The primary role is to annotate user-interface virtual transcriptions by analyzing its responses via

•various aspects in Urdu, Hindi and English dialects.

•• Acted as a liaison between Product managers and AI/ML developers, by translating user interactions into actionable data

•for model improvement. Provided detailed feedback on Siri’s performance, highlighting areas where the AI could be

•enhanced to better understand and respond to user queries.

•• Implemented Project management skills for the AI improvement strategies and publishes changes to guidelines that

•promote continuous high quality, detailed linguistic annotations.

•• Trained to work with internal application/tool for various data interpretations of Siri by maintaining privacy guidelines

•and understanding data of multiple regions and cultural variations with English, Hindi, Urdu dialects.

•• Collaborated with a team of developers, business managers to design, develop, and maintain internal applications,

•adhering to stringent privacy guidelines for various Siri projects. Managed data encompassing multiple regions and

•accommodated cultural variations within the various linguistic dialect.

•• Played a pivotal role in refining Siri's customer experience by meticulously reviewing and annotating vast datasets daily,

•gaining insights into Siri's interactions and areas for improvement. Provided critical insights and feedback to AI/ML

•developers based on the (Siri’s) data analysis, contributing to the refinement and enhancement of natural language

•processing algorithms.

•• Participated in weekly/quarterly business performance reviews, actively managing new feature launches for the carrier

•business by creating dashboards using Tableau, powerBI, Excel.• Developed detailed test plans and conducted rigorous testing to ensure system reliability and functionality post-

•transition. Documented system specifications, user requirements, and transition plans to facilitate seamless platform

•transitions and integration.

•• Gained familiarity with red teaming methodologies to simulate potential attack vectors and assess the security and

•robustness of AI language models, also conducted risk assessments and identified potential weaknesses in language

•models, contributing to improved trust and safety measures.

•• Stayed informed about industry standards and best practices in data privacy to continuously improve compliance

•measures. Engaged in ongoing learning and professional development to stay abreast of the latest advancements in

•AI/ML and data annotation techniques.

•• Research on their current OMS (Order Management System) how the current data flow/functionality works to prepare

•Gap analysis.

•• Facilitated AI/ML developers in comprehending Siri's responsiveness and functionality across tasks while upholding

•the utmost privacy standards for customer data.

•• Organized and conducted process shadow sessions for new team members via Webex, providing comprehensive

•training and support to ensure a smooth transition and understanding of project guidelines.

Seller Support analyst

Amazon Development Centre, Hyderabad

Full-Time Onsite July 2016 – June 2018

•Tested and applied analytical and technical skills in real-world scenarios, completing projects that supported personal growth in Business Analysis and contributed to team and customer success.

•Developed and executed complex data analyses to drive accurate business decisions. Identified process improvement opportunities, contributing to streamlined and scalable solutions.

•Experienced with Data analysis. Worked with multiple type of Master Data (Product Data, Vendors Data, Financial Data) etc. Created detailed Business Process Model Notation (BPMN) flows using the MS Visio and Draw.io tool to remove ambiguity of the requirements communicated by the clients or the business stakeholders. Client-Side, Server- Side and Database

•Employed programming for statistical analysis and reporting, creating detailed insights on seller performance and market trends. Developed interactive dashboards and visualizations enabling real-time data exploration and decision-making.

•Leveraged Azure DevOps to manage project backlogs, create user stories, and facilitate sprint planning. Ensured that all development tasks were aligned with business requirements and tracked through the lifecycle of the project.

•Provided ongoing support for Salesforce CRM, ensuring that seller-related data was accurately captured and maintained. Developed custom reports and dashboards within Salesforce to monitor seller performance and identify areas for improvement.

•Utilized R for predictive analytics, forecasting sales trends and identifying key performance indicators (KPIs) to drive business strategies. Implemented Python scripts to automate data extraction and transformation processes, improving efficiency and accuracy in reporting.

•Explored cloud computing solutions to enhance data storage and processing capabilities, including preliminary work with AWS services like Redshift for data warehousing and Lambda for serverless computing. Assisted in root cause analyses to address problems and improve operational effectiveness. Collaborated with the team in the development of business cases for new programs and services.

•Created Artifacts such as Project Charter, Business Requirement Document (BRD), System Requirement Specification (SRS), UML diagrams like Activity and Data flow diagrams. Source data, map data and checked data before feeding them into the system.

•Closely worked with the IT Project manager, Development team and participated in many JAD sessions.

•Participated in the creation, delivery, maintenance, and improvement of performance metrics dashboards. Became a valuable member of a team of trusted advisors within the assigned business unit.

•Provided comprehensive support to sellers fostering growth in their partnerships with Amazon.com. Delivered precise information on platform policies, sales, database issues, and listing inaccuracies to sellers, ensuring adherence to guidelines.

•Advocated for sellers, offering valuable feedback for continuous process improvements. Proficiently used tools to maintain detail page integrity and troubleshoot Excel bulk uploads on the Amazon website. Certified as a specialty mentor, trained and supported associate in training sessions.

•Served as a point of contact and subject matter expert, supporting peers and handling qualitative analysis projects.

•Issued credits for contested returns, shipping fees, and damaged merchandise, adhering to policies. Navigated quarterly policy changes and database re-organization with adaptability.

•Managed promotional in-store signage and displays, contributing to visual merchandising efforts. Supported Amazon.com sellers, providing troubleshooting, development, and business growth assistance.

•Created detailed Excel reports to track seller performance metrics, using advanced formulas and data visualization techniques. Automated data extraction and reporting processes, significantly reducing manual effort and improving accuracy.

•Certified specialty mentor (SME’s), entrusted to train and support training classes. Served as a point of contact and subject matter expert for fellow associates. Led qualitative analysis projects to understand associate behavior and reduce internal requests.

•Managed site quality performance reports and engaged in project planning, monitoring, and control in cross-functional teams.

•Delivered prompt and efficient service to sellers, continually building platform and business knowledge.

•Maintained positive and professional relationships with sellers, assisting with renewals, upgrades, and issue resolutions.

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