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Business Analyst Data Resume Stoneham, M...
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Title Business Analyst Data
Target Location US-MA-Stoneham
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PHONE NUMBER AVAILABLE EMAIL AVAILABLE LINKEDIN LINK AVAILABLE Boston, MAEDUCATIONWorcester Polytechnic Institute - Master of Business Analytics (GPA-3.9) January 2023 -December 2024 University of Mumbai, India - Master of Bioanalytical Science June 2009-March 2011 University of Mumbai, India - Bachelor of Biotechnology June 2006-March 2009 SKILLSTechniques: Business Optimization Models, Data Management, Data Mining, Data Visualization, Feature Engineering, Report Building, Google Analytics, Predictive Modelling, Hypothesis Testing, Linear Programming, Time Series Forecasting, Risk Assessment, Decision Tree model.Tools: Focus ERP system, Tableau, PowerBI, DataRobot, IBM SPSS, RapidMiner, Microsoft AzureML, Excel, Visio, JIRA, Confluence. Languages: Python, R, SQL.WORK EXPERIENCEGraduate Research Assistant at Worcester Polytechnic Institute, MA, USA March 2023 - Present Conducted statistical analysis on Emergency Department patient arrival data for University, Clinton, and Marlboro Hospitals. Discovered that 88.34% of patients in University ED had a Length of Stay (LOS) of less than 1 day, indicating efficient patient flow management strategies. Utilized Tableau and Excel to analyze wait times between arrival and disposition based on patient risk levels, generating interactive visualizations to optimize patient care processes and resource allocation in the ED. Data Analyst at K12 Techno Services, Mumbai, India June 2022-December 2022 Collaborated with the central team to refresh data on the school's online platform Eduvate, with Power BI reports pinpointed revenue enhancement prospects for 14 area managers, facilitating informed decision-making. Business Operations Analyst at Sarsan Oilfields Supply Centre, Dubai, UAE January 2017-January 2022 Leveraged ERP Focus to oversee data, streamline operations, and optimize workflows to reduce 10% annual cost for the business. Designed roadmaps and deployed the relevant built-in reporting tools of the ERP to present key performance indicators (KPIs) and address specific business needs to stakeholders. Analyze historical data to identify patterns in customer issues and churns. Maintained accurate data of more than 100 suppliers, successfully negotiating, and reducing material costs by 5% on an average. Employing scenario analysis and checklists, operational risks were mitigated, enabling the successful delivery of a 3000-meter pipe project to a client within three months.Application Specialist at Shah Brothers, Mumbai, India February 2012-January 2014 Introduced and implemented two Genetic Detection Systems from Biocontrol Systems for Salmonella testing at Nestle, India, and secured an $11,981 tender to supply Idexx water testing kits to a state laboratory. Recognized customer needs, secured 12 new clients, and promoted Romer Laboratories' mycotoxin test kit for maize samples. Provided technical troubleshooting and comprehensive after-sales support. Trained a sales team and managed inventory, anticipating stock needs to increase monthly sales revenue by 11% and reduce stock holding costs by 4%.Quality Control Intern at Arch Pharma Labs, Mumbai, India March 2010  May 2010 Performed quality control testing, including titration, dissolution, chromatography and spectrometry (both HPLC and LCMS tests), to evaluate drug samples of Diclofenac Sodium while documenting test results, facilitating traceability of rejected samples. PROJECTS1) Assessing Market Viability of Camera Module testing solutions for Teradyne Inc. Executed market analysis of seven key camera module manufacturers and testing competitors, made a TAM model for revenue projection, and proposed a strategic entry into the automotive camera module test market based on three critical factors for Teradyne Inc.2) Predictive modelling for fraud transactions using Automated Machine Learning. Analysed a 6 million-record fraud transaction dataset, used Python for data wrangling, and applied SMOTE sampling to balance and reduce data points, making it suitable for deployment in a machine learning model. Developed training models using Microsoft Azure ML and DataRobot, achieving 53% accuracy in data point predictions. Created visually engaging infographics to communicate model findings and business benefits to stakeholders. 3) Predictive Analysis of customer satisfaction for an airline survey from 25k- record dataset Conducted Python-based data wrangling, eliminating statistically insignificant data. Generated heatmap, picked the correlated features, and performed output comparisons using logistic regression and other classification algorithms.4) In the Marketplace Simulation game attained competitive advantage for our company uBike and won the first place by thorough analysis of market research data and application of marketing strategies.

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