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Click here or scroll down to respond to this candidateCandidate's Name
EMAIL AVAILABLE PHONE NUMBER AVAILABLE LINKEDIN LINK AVAILABLESUMMARYHighly motivated and results-oriented Business Analyst with 2+ years of experience in optimizing supply chain operations and driving business growth through data analysis and automation. Skilled in utilizing data visualization tools (Looker, Tableau, Power BI), SQL, and machine learning to identify trends, improve efficiencies, and generate actionable insights. Proven track record of success in reducing costs, enhancing customer satisfaction, and increasing forecast accuracy. SKILLS & CERTIFICATIONSTools & Languages: SAP-ERP Tableau Minitab Power BI Looker Google Big Query SQL R Google Sheets Qlikview Kinaxis AutoCAD SolidWorks Lingo MS Office (Word Excel PowerPoint) Competencies: Data Analysis and Reporting Logistics Analysis Six Sigma Demand Planning Kaizen Material Requirement Planning Time Series Forecasting 5s Supply chain Operations Project Management Healthcare Analytics Certificates: SQL Developer from W3 Schools MS Excel Masterclass for Business Managers from Udemy PROFESSIONAL EXPERIENCEBusiness Analyst, Amazon Phoenix, AZ Oct 2022 May 2024Collaborated with inventory and procurement teams to optimize stock levels, leading to a 20% decrease in overstock and resulting in $20M cost savings.Optimized medication picking and increased throughput rate by automating data transfer from ERP System, resulting in a 25% boost in prescription filling efficiency and a 20% reduction in employee hours.Enhanced operational efficiency by centralizing fulfillment metrics, collaborating with diverse teams, and automating reporting with Google sheets, Google Apps Script, Looker, and SQL, resulting in a 30% increase in reporting accuracy and a 25% reduction in time spent on generating reports.Conducted root cause analysis to identify discrepancies in cycle counts, leading to a 7% increase in counting precision and optimized inventory management.Analyzed variable impacts via sensitivity analysis, advanced data analytics and assessed supply agreements to create actionable insights and Excel dashboard for senior leadership, driving improvements in forecast accuracy from 43% to 67%. Supply Chain Analyst Co-op, Wayfair Boston, MA Jun 2021 Dec 2021Automated weekly KPI reports for the percent of Returns graded at Fulfillment Center using Google Big Query, Google sheets resulting in reducing operational lead time by 75% for Business review meetingsIdentified categories of Incident returns which resulted in $59M loss to Wayfair and build a dashboard which helped in flagging the top categories for incident returns on a weekly basis.Utilized Looker to analyze return distribution data, resulting in a recommendation for a 30% increase in the return window period, reducing customer complaints by 15% and improving overall customer experience.Improved returns process by 20% using Google Big Query and Data Studio to develop a Returns Dashboard, leading to enhanced customer experience and increased customer satisfaction. EDUCATIONNortheastern University, Boston, MA August 2022Master of Science in Engineering Management GPA: 3.5 / 4.00 Graduate Certificate: Supply Chain Management DAmore-McKim School of Business Courses: Global Supply chain Strategy, Logistics and Transportation Management, Project Management, Data Mining in Engineering, Probability and Statistics, Supply chain Engineering, Economic Decision Making University of Mumbai, Mumbai, India July 2019Bachelor of Engineering, Mechanical EngineeringCourses: Industrial Engineering and Management, Production Planning and Control ACADEMIC PROJECTSGlobal Supply Chain Strategy Project, Northeastern University Jan 2022 Apr 2022Analyzed current global trends of Reshoring, Offshoring and Nearshoring, calculated Total Landed Cost.Created different inventory models depending on products to determine Economic Order Quantity and TAC. U.S Accidents Analysis, Northeastern University Jan 2021 Apr 2021Performed data cleaning, manipulation and transformation followed by feature selection using PCA.Implemented Principal Component Analysis and Building Classification Models by using Data Mining techniques like K-NN, Decision Tree, Random Forest and Machine Learning algorithms. |
