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Title Business Systems Analyst Intern
Target Location US-TX-Dallas
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 Candidate's Name
                                                 +1(Street Address )373-2887 | EMAIL AVAILABLE | https://LINKEDIN LINK AVAILABLE | Dallas, TexasEDUCATIONUniversity of Texas at Arlington, Master of Science in Information Systems                                                                                                              Street Address /2022   05/2024Coursework: Data warehousing and business intelligence, Data mining, Project Management, Cloud computingUniversity of Mumbai, Bachelor of Engineering in Computer Engineering                                                                                                               Street Address /2019   07/2022Coursework: Relational database management system, Analysis of algorithms, Data Structures, Software Engineering, Computer NetworksSKILLSData Visualization tools: Power BI, Tableau, SQL Server Reporting Services (SSRS)Languages: Python, SQL, Java, C, C++Libraries: NumPy, Scikit-learn, Matplotlib, Pandas, PyTorch, PySpark, TensorFlow, Plotly, Dash, OpenCVTechnologies & Tools: Visual Studio, MS Access, MS Project, MS Visio, VS Code, Microsoft suiteDatabase: MySQL, MS SQL Server, NoSQLCloud Computing Technologies: AWS, AzurePROFESSIONAL EXPERIENCESeasky Interglobal Logistics, Business Systems Analyst Intern | Remote                                                                                                                 05/2023   08/2023      Implemented Tableau dashboard by conducting root cause analysis and collaborating with cross-functional teams, leading to on-time deliveries and a 10% reduction in warehouse holding costs through real-time monitoring.      Collaborated with operational leaders by delivering business reviews leveraging Salesforce data. These reviews identified key challenges and opportunities, leading to a 15% increase in operational efficiencies.      Led market research initiatives, and data analytics techniques to boost client outreach by 20% through targeted engagement and precise identification of potential clients to improve business performance.Modi Enterprises, Data Scientist | Mumbai, India 	        04/2020   06/2022      Developed machine learning models which lead to a 25% improvement in predictive models accuracy and increase in customer engagement.      Constructed data pipelines & implemented ETL process, resulting in a 40% reduction in data processing time & 50% improvement in data quality.      Improved pricing accuracy by 25% and profitability margins by 30% through developing and documenting business objectives for comprehensive valuation of models using SQL for data manipulation.
      Analyzed market trends and competitor data using SQL to identify a market gap and presented the insights through data-driven recommendations and Tableau dashboards for data presentation and effective business strategies.TATA Teleservices Limited, Data Analyst Intern | Mumbai, India	        06/2019   09/2019      Improved data quality by 15% by identifying and resolving data inconsistencies in large datasets using SQL, ensuring accurate reports and enhancing customer engagement through improved campaign personalization.      Streamlined data processes through Power BI and SSRS, increasing click-through rates by 20% and reducing data reporting turnaround time by 10%, thereby enhancing decision-making efficiency by 15%.      Uncovered a seasonal trend in customer purchase patterns through data analysis, informing strategic insights that led to a 15% revenue increase.PROJECTS
E-commerce Sales Analysis, MySQL, Power BI
      Leveraged MySQL for data storage, enabling data-driven decisions that accelerated profitability. Led analysis using Power BI to identify top products and optimize shipping, resulting in a 15% sales increase and a 10% reduction in customer acquisition cost.      Implemented a customer segmentation strategy based on user requirements and purchase behavior, leading to personalized marketing campaigns and a 12% increase in customer retention.Diabetes Prediction System, Python, Pandas, Logistic Regression
      Developed a diabetes prediction system with 92% accuracy using Python and Logistic Regression, aiming to address the challenge of early detection and identify high-risk individuals for healthcare partners.      Implemented real-time feedback mechanisms to improve model accuracy, ensuring reliable insights for data-driven decision-making rates by 10%.Road Accident Analysis, MS Excel, Tableau
      Utilized Excel for advanced statistics, identifying correlations between weather, road, & time, reducing accident rates by up to 20%.      Generated interactive tableau dashboard to identify KPIs (Key Performance Metrics) to visualize spatial and temporal patterns, gathering requirements to empower decision-makers with actionable insights, potentially reducing accident rates by an additional 10%.CERTIFICATIONS
Advanced Google Analytics
Skills: Predictive Modeling, Statistical Analysis, Machine LearningPower BI Data Analyst Associate
Skills: Power BI, Power Query, Microsoft Excel, SQL
Data Visualization in Tableau
Skills: Tableau, Data exploration, Data insights, Data VisualizationPower BI Virtual Experience Program, PWC
Skills: DAX, Data storytelling, Data cleaning, Data modeling, Data manipulation, Data analysis, Data visualizationExcel Skills Virtual Experience Program, JP Morgan Chase & Co.
Skills: Conditional formatting, Pivot tables, VLOOKUP, Macros/Visual Basic for Applications (VBA)ACHIEVEMENTS
Datathon First Prize Winner - Machine Learning Challenge and Mayday Maestros | University of Texas at Arlington	                                                  04/2024Datathon First Prize Winner - Mayday Maestros | University of Texas at Arlington	                                           			               04/2024

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