Who is Vinit Shetty? Overview
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Vinit Shetty is listed as Data Reporting Analyst at GWMI, based in Melbourne, Victoria, Australia. AeroLeads shows a matched LinkedIn profile for Vinit Shetty.
Vinit Shetty previously worked as Machine Learning Intern at Ineuron.Ai and Administration Executive at Gwmi Group. Vinit Shetty holds Master'S Degree, Artificial Intelligence, 75/100 from Deakin University.
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About Vinit Shetty
As a Data Scientist & Analyst with over 3.5 years of experience, I harnessed complex data to drive strategic decision-making and deliver impactful business insights in the tech industry. I have had the opportunity to consult with 15+ Fortune 500 automotive and manufacturing clients, leveraging data-driven insights to achieve a 10% increase in e-commerce adoption by streamlining data integration and transaction automation.KEY ACHIEVEMENTS:• Progressed from Software Engineer to ERP Analyst, advancing to a higher role due to demonstrated performance and contributions.• Mentored graduates, facilitating knowledge transfer on the best practices of ERP systems and supply chain management.• Worked with top financial clients like JP Morgan Chase and Lloyds Bank, handling financial transaction automation processes.SKILLS:Python | SQL | Machine Learning | Deep Learning | Natural Language Processing | Statistical Analysis | Hypothesis Testing | Data Visualization (Tableau, Power BI) | Excel | ERP Systems | JiraCertified in: Microsoft DP-900 | Microsoft AI-900 | Azure ML StudioPASSIONATE ABOUT:Leveraging data to optimize business processes and create meaningful insights that drive growth.LET'S CONNECT:I’m open to new opportunities and collaborations. Reach out via LinkedIn or email at vinitshetty31@gmail.com. Let’s discuss how we can achieve success together!
Vinit Shetty's current company
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Vinit Shetty work experience
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Machine Learning Intern
Current- Performed end-to-end regression modelling, enhancing traffic volume prediction accuracy by 10% through effective data cleaning, preprocessing, feature engineering, model development, and ensemble optimisation.
- Built data ingestion pipelines using Cassandra DB via Astra DB, reducing data ingestion time by 20% and enhancing data retrieval speeds for traffic volume analysis.
- Deployed CI/CD pipelines on Azure Cloud using GitHub Actions for machine learning model deployment, ensuring… Show more
- Deployed CI/CD pipelines on Azure Cloud using GitHub Actions for machine learning model deployment, ensuring streamlined version control and rapid iteration. Show less
Administration Executive
Current- Leveraged Excel’s advanced capabilities, incorporating Charts, Graphs and Pivot Tables to optimize scheduling and manage an average of 50 daily inspection requests.
- Spearheaded initiatives to optimize the report generation process, reducing the average turnaround time from 48 hours to under 24 hours for delivering inspection reports.
Data Scientist
- Directed the EV Charging Stations Forecasting Project using ensemble and classification machine learning algorithms, achieving 90% accuracy in demand predictions.
- Formulated a Use Case for Melbourne City Council, creating an interactive map application that integrates geospatial data to identify landmarks and food establishments, projected to increase foot traffic by 20%.
- Executed in-depth analysis of 20+ datasets, leveraging statistical techniques and producing impactful Tableau… Show more
- Executed in-depth analysis of 20+ datasets, leveraging statistical techniques and producing impactful Tableau dashboards that informed strategic decision-making. Show less
Erp Analyst
- Consulted with 15+ Fortune 500 automotive and manufacturing clients, leveraging data-driven insights to achieve a 10% increase E-commerce adoption by streamlining data integration and transaction automation.
- Developed and implemented interactive Power BI and Python dashboards within ERP systems, providing real-time KPI tracking and reducing manual reporting by 40%.
- Spearheaded financial projects for JP Morgan Chase & Lloyds Bank, improving transaction efficiency and accuracy by 50%… Show more
- Spearheaded financial projects for JP Morgan Chase & Lloyds Bank, improving transaction efficiency and accuracy by 50% through translating business requirements into optimized ERP workflows. Show less
Erp Software Engineer
- Developed and implemented EDI solutions for automotive manufacturers, enabling automated data exchange with suppliers and enhancing operational efficiency.
- Created and managed EDI projects that integrated order processing, inventory management, and shipment tracking, resulting in a 30% reduction in processing time for purchase orders.
- Configured EDI mappings for various document types, including forecasting, invoices, shipping notices, and order acknowledgements, ensuring compliance… Show more
- Configured EDI mappings for various document types, including forecasting, invoices, shipping notices, and order acknowledgements, ensuring compliance with ANSI X12 and EDIFACT standards. Show less
Vinit Shetty education
Master'S Degree, Artificial Intelligence, 75/100
Master'S Program, Data Science
Be - Bachelor Of Engineering, Electronics And Telecommunication
Frequently asked questions about Vinit Shetty
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What company does Vinit Shetty work for?
Vinit Shetty works for GWMI.
What is Vinit Shetty's role at GWMI?
Vinit Shetty is listed as Data Reporting Analyst at GWMI.
Where is Vinit Shetty based?
Vinit Shetty is based in Melbourne, Victoria, Australia while working with GWMI.
What companies has Vinit Shetty worked for?
Vinit Shetty has worked for Gwmi, Ineuron.Ai, Gwmi Group, Chameleon - Smarter World, and Thirdware Solution Inc.
How can I contact Vinit Shetty?
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What schools did Vinit Shetty attend?
Vinit Shetty holds Master'S Degree, Artificial Intelligence, 75/100 from Deakin University.
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