Quantcast

Information Technology Business Intellig...
Resumes | Register

Candidate Information
Name Available: Register for Free
Title Information Technology - Business Intelligence and Data Analytic
Target Location US-MA-Boston
Email Available with paid plan
20,000+ Fresh Resumes Monthly
    View Phone Numbers
    Receive Resume E-mail Alerts
    Post Jobs Free
    Link your Free Jobs Page
    ... and much more

Register on Jobvertise Free

Search 2 million Resumes
Keywords:
City or Zip:
Related Resumes

Information Technology Business Management Worcester, MA

Business Development Information Technology Providence, RI

Information Technology Business Analyst Worcester, MA

Information Technology Qa Engineer Worcester, MA

Information Technology Team Leader Smithfield, RI

Data Analyst Information Technology Boston, MA

Information Technology Administrative Assistant Boston, MA

Click here or scroll down to respond to this candidate
Candidate's Name
Boston, MA +1(Street Address )519-2653 EMAIL AVAILABLE https://LINKEDIN LINK AVAILABLE EDUCATIONWorcester Polytechnic Institute, Worcester, MA May Street Address  Master of Science in Information Technology GPA: 4.0/4.0 Courses: Business Intelligence, Data Management for Analytics, Marketing Analytics University of Mumbai, Mumbai, India May 2019Bachelor of Engineering in Information Technology GPA: 3.7/4.0 Courses: Big Data Analytics, Data Mining, Relational Database Management Systems, Machine Learning SKILLS SUMMARYLanguages: SQL, PythonTools: DOMO, Tableau, Microsoft Power BI, AtScale, IBM SPSS Modeler, SAP BASIS, Microsoft OfficeLibraries: NumPy, Pandas, Matplotlib, Scikit-learn, SeabornDatabase Technologies: SQL Server Management Studio, DB Browser for SQLite, MySQL Server, SQLiteTechnical Expertise: Data Management and Reporting, Data Warehousing, ETL PROFESSIONAL EXPERIENCESharkNinja Jun 2023  Apr 2024Business Intelligence Developer Co-op Boston, MADeveloped interactive dashboards: one facilitating real-time inventory tracking, slashing report prep time by 90%; the other streamlining order management reporting, saving 10 hours per bi-weekly cycle.Performed quality assurance (QA) checks for QlikView applications, DOMO cards, and dashboards, ensuring data accuracy across multiple applications, resulting in reduction in data inconsistencies.Integrated a new warehouse designation using SQL, leading to a notable 20% enhancement in data retrieval efficiency and enhanced reporting.Engineered a robust data model in AtScale utilizing SQL Server tables, facilitating seamless integration of data into Power BI, resulting in a 25% improvement in reporting efficiency.Automated TrackIT(Container tracking system) data extraction and integration into DOMO, aiming for an 80% decrease in manual load and promoting real-time analytics capabilities. Accenture Solutions Pvt. Ltd. Aug 2019  Jul 2022Application Development Analyst Mumbai, IndiaEvaluated clients production & distribution system to monitor quality standards, leading to a 30% rise in operational efficiency.Integrated Rev-Trac changes within SAP systems and extended weekly client applications reboot, boosting customer satisfaction to 98%.Incorporated SAP transaction codes to analyze data, troubleshoot system issues, and provide detailed reports on system performance, resulting in improved decision-making processes for management.Rendered Level-1 & 2 technical support for SAP end users globally by conducting audits on system availability, achieving a 99% uptime rate.ACADEMIC PROJECTSBusiness Intelligence Solution for Potential Airbnb Hosts Aug 2022  Dec 2022Created a Tableau dashboard, leveraging market data to provide aspiring Airbnb hosts with actionable real estate insights, resulting in a 30% boost in host occupancy rates.Developed sophisticated chart visualizations using Tableau, supporting expedited decision-making & uncovering hidden trends from complex data sets.Executed sentiment analysis on 500+ customer reviews using Python, producing actionable insights that enabled efficient automation of processes.Python-Based Analysis and Prediction of Housing Prices Aug 2022  Dec 2022Exercised data mining techniques to extract relevant information from disparate sources and performed exploratory data analysis for further insight driving a 25% increase in decision-making accuracy.Implemented Python to build and deploy linear regression models for predicting residential house price trends, resulting in accurate predictions made with 95% accuracy.Applied K-means Clustering and Linear Regression techniques to the data set, identifying valuable patterns and trends through advanced data visualization.

Respond to this candidate
Your Message
Please type the code shown in the image:

Note: Responding to this resume will create an account on our partner site postjobfree.com
Register for Free on Jobvertise