Business Analyst Supply Chain

Niharika Buyyani

Business Analyst

Location: USA Email: *****************@*****.*** Phone: 475-***-**** LinkedIn SUMMARY

• Business Analyst with 4 years of experience in process optimization, data analysis, and project management across supply chain, automotive, and IT domains.

• Proficient in tools such as Power BI, Tableau, SQL, and SAP Materials Management, delivering actionable insights and streamlining workflows.

• Skilled in requirement gathering, process modelling (BPMN), and workflow design, creating comprehensive BRDs and FRDs to align business goals with technical solutions.

• Experienced in implementing Lean Six Sigma and DMAIC principles to enhance operational efficiency and reduce lead times.

• Expertise in Agile methodologies (Scrum, Kanban) with a proven track record of improving project delivery timelines by 25% and boosting team productivity by 15%.

• Adept at integrating advanced technologies, including AWS Redshift, Python, and cloud platforms, to develop scalable, data-driven solutions.

• Strong communication and collaboration skills, excelling in stakeholder management, cross-functional teamwork, and facilitating Agile ceremonies.

• Passionate about leveraging data and technology to solve complex business challenges and achieve strategic objectives. TECHNICAL SKILLS

• Business Analysis & Documentation: Requirement Gathering, BRD, FRD, Use Case Development, Process Modeling (BPMN), Workflow Design

• Data Analysis & Visualization: Power BI, Tableau, Advanced Excel (Pivot Tables, VLOOKUP, XLOOKUP, Power Query, VBA), SQL

• Enterprise Tools: Jira, Confluence, SAP (Materials Management), SAS

• Project Management & Methodologies: Agile (Scrum, Kanban), Waterfall, SDLC, Stakeholder Management, RACI Matrix

• Business Process Improvement: SWOT Analysis, Root Cause Analysis (RCA), Fishbone Diagram, Lean Six Sigma, DMAIC

• Soft Skills: Critical Thinking, Problem-Solving, Communication, Negotiation, Stakeholder Collaboration, Time Management

• Cloud & Integration Tools: AWS (EC2, S3, Redshift), Google Cloud (BigQuery), Informatica, Talend, Alteryx

• Healthcare Tools & Technologies: HIPAA, EMR, EHR

• Version Control & Collaboration: Git, GitHub, Trello

• Programming Languages: SQL, Python, R

• Statistics & Machine Learning: Regression, A/B Testing, Forecasting, Neural Networks, Time Series Analysis, Decision Trees, Clustering, Data Cleansing, Data Wrangling, Statistical Analysis

• Other Tools: Microsoft Visio, Lucidchart, Minitab WORK EXPERIENCE

IRIS May 2023 – Present

Business Analyst

• Spearheaded the transition from Waterfall to Agile methodologies for the Project Management Office (PMO), ensuring seamless adoption across teams and departments.

• Conducted stakeholder interviews and created detailed BRDs and FRDs to outline project objectives, deliverables, and Agile transformation requirements.

• Designed Agile workflows and process maps using Microsoft Visio, streamlining project delivery cycles and improving task visibility.

• Facilitated Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives, to ensure alignment between cross-functional teams.

• Developed a RACI matrix to clearly define roles and responsibilities, fostering accountability and collaboration across the organization.

• Utilized Jira and Confluence to manage sprint backlogs, track progress, and maintain a centralized repository of project documentation.

• Conducted training workshops for teams on Scrum and Kanban frameworks, enhancing understanding and adoption of Agile principles.

• Monitored and reported on key performance indicators (KPIs) post-implementation, achieving significant improvements in project delivery timelines and enhancing team productivity.

Morris Garages July 2020 – June 2021

Business Analyst

• Collaborated with stakeholders to gather and document requirements, creating detailed BRDs and FRDs to align supply chain solutions with business objectives.

• Designed data integration workflows using Talend and Informatica to centralize supply chain data in AWS Redshift for real-time analytics.

• Created interactive dashboards in Power BI and Tableau to monitor supplier performance, inventory levels, and production timelines.

• Conducted inventory analysis with SQL and Python, categorizing components into fast-moving, slow-moving, and non-moving to optimize stock levels.

• Built forecasting models using R and time series analysis, reducing inventory holding costs and improving resource allocation.

• Identified bottlenecks in the supply chain using Root Cause Analysis (RCA) and fishbone diagrams, improving supplier lead times by 15%.

• Implemented Lean Six Sigma (DMAIC) principles to streamline procurement workflows and enhance overall efficiency.

• Automated notifications for inventory restocking and supplier performance alerts using Alteryx, ensuring proactive inventory management. Trigent Jan 2019 – June 2020

Business Analyst

• Gathered detailed requirements for optimizing inventory workflows and implemented solutions using SAP Materials Management to streamline processes.

• Analysed stock movement patterns using SQL, categorizing inventory into fast, medium, and slow-moving segments for better resource allocation.

• Applied Lean Six Sigma (DMAIC) to identify process inefficiencies, reduce lead times, and enhance procurement strategies.

• Conducted root cause analysis with Fishbone Diagrams, addressing supply chain delays and improving on-time delivery rates.

• Designed and developed real-time Power BI dashboards, enabling stakeholders to monitor inventory levels and critical KPIs.

• Created comprehensive BRDs and FRDs, ensuring seamless communication of requirements and deliverables to technical teams.

• Facilitated Agile scrum ceremonies including daily standups and sprint reviews, leveraging Jira and Confluence to manage tasks and track project progress.

PROJECTS

Predictive Housing Market Analysis Python, AWS Lambda, Flask, Heroku – Sept 2022

• Built a linear regression model with Python libraries like Scikit-learn and deployed it via Flask on Heroku for real-time housing price predictions.

• Automated data preprocessing with AWS Lambda, ensuring continuous updates for enhanced model performance. Customer Sentiment Analytics Dashboard Python, Snowflake, Power BI, NLP – April 2022

• Analysed Amazon Alexa product reviews using NLP techniques and migrated processed data to Snowflake for efficient querying.

• Designed a Power BI dashboard integrated with Snowflake to visualize sentiment trends and customer insights. Hershey’s Chocolate Sales Performance System SQL Server, Apache Airflow, Tableau – Dec 2021

• Created a SQL Server database and implemented an ETL pipeline with Apache Airflow to automate data integration.

• Processed data using PySpark and built a Tableau dashboard for visualizing sales performance metrics. E-Commerce Platform with Geospatial Integration Django, GIS, Firebase, Stripe API – Aug 2021

• Developed a Django-based e-commerce platform with real-time vendor tracking using GIS integration and Firebase backend.

• Implemented secure payment solutions with Stripe API, enhancing the platform's user experience. EDUCATIONAL QUALIFICATIONS

• Master in Business Analytics

University of New Haven

• Bachelor in Electronics & Communication Engineering Jawaharlal Nehru Technology University, Hyderabad, India CERTIFICATIONS

• ITIL V3, CCNA (R&S) Certified

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