Vinit Shetty | AI/Data Engineer

Vinit Shetty

AI/Data Engineer

Based in Melbourne, Australia

About

A dedicated AI professional, expertise encompasses operational domains, software development, testing, and deployment. Holding a Master's degree in Applied Artificial Intelligence, the focus has been on Data Wrangling and Machine Learning. Proficiency in Python, SQL, and Tableau enables efficient data analysis and visualization, resulting in the presentation of vital, actionable insights for informed business decision-making.

Skills

Projects

Dynamic Car Sales Analysis Dashboard

Real-time insights on critical KPIs, interactive charts for sales trends by Body Style, Color, Dealer Region, and Company-Wise Sales Trend grid. Empowering data-driven decisions for efficient sales performance monitoring.

King County House Sales Analysis Dashboard

The "King County House Sales Analysis Dashboard" offers valuable insights into King County's housing market trends, aiding informed decisions on property investments and pricing strategies through interactive visualizations.

SP Rocket Central Customer Transaction Analysis Dashboard

The Dashboard was developed in Tableau for SP Rocket Central, a bicycle manufacturer targeting existing customers and market segments. This dashboard provides insights into customer transactions, enabling the company to understand purchasing patterns, customer preferences, and market trends.

Unveiling Amazon Prime's Entertainment Universe

Dive into the captivating world of Amazon Prime's Movies and TV Shows with this interactive dashboard. Explore key insights such as Ratings by TV show, Genre distribution, Total shows by Country, and the Split between Movies and TV Shows. Gain valuable insights into Prime's Entertainment offerings.

Discovering Melbourne's Hidden Gems

A transformative initiative developed for Melbourne City Council, Discovering Melbourne's Hidden Gems unlocks the city's culinary delights and cultural treasures for tourists. Fosters a symbiotic relationship between tourism and local businesses, enriching the visitor experience and economic growth.

Smart Recycling using Deep Learning

Implemented "Smart Recycling" using Deep Learning. Used Data augmentation & CNN Architecture & checked the dynamics of model performance while identifying model's strength and weakness.

HR Analytics: Absenteeism at Work

This project focuses on optimizing the company's employee benefits program and resource management. Leveraging SQL for data manipulation and analysis, and PowerBI for visualization, the project aims to make informed decisions regarding initiatives such as a healthy bonus program and insurance budget

Experience

2023- Present

GWMI Group - Administration Assistant

Leveraged Excel's advanced capabilities, incorporating Charts and Graphs, Pivot tables, and Macros, to optimize scheduling and successfully manage 50 daily inspection bookings. Produced detailed reports for over 800 inspections in the past month, highlighting discrepancies and contributing to a 15% reduction in noncompliance incidents. Spearheaded efforts to streamline the report generation process, achieving an average turnaround time of under 24 hours for delivering inspection reports to clients.

2022-2023

Chameleon - Lead Data Scientist

Successfully delivered the EV Charging Stations Forecasting Project, achieving a 90% accuracy rate in predicting demand within the timeframe. Formulated a detailed Use Case for the Melbourne City Council, spotlighting iconic landmarks to foster economic growth in local food outlets, with an expected 20% surge in foot traffic and a 10% upturn in revenue for participating businesses. Conducted comprehensive data gathering and analysis on multiple datasets, producing impactful visualisations that were pivotal in strategic decision-making. Implemented Agile Methodology with Jira and Trello, achieving a 25% reduction in the project timeline, and fostering collaborative efforts with the design team to showcase data findings.

2018-2021

Thirdware Solutions - ERP Application Specialist

Consulted with over 15 Fortune 500 companies, resulting in a 10% increase in the adoption of QAD E-commerce, enhancing my proficiency in data-driven decision-making. Designed and implemented interactive dashboards within ERP environments, providing real-time visualizations and KPI tracking. Executed Financial EDI projects for JP Morgan Chase & Lloyds Bank, achieving a 50% improvement in transaction efficiency and accuracy. Led MFG/PRO EDI Implementation projects, managing the system maintenance & enhancement, and technical support for a portfolio of projects. Managed end-to-end Progress 4GL development, reducing post-implementation bugs by 20% and maintaining elevated code quality standards.

Education

2021-2024

Deakin University - Masters in Applied Artificial Intelligence (Professional)

2013-2017

Mumbai University - Bachelor of Engineering