Naveen Kaushik

Naveen Kaushik

Data Scientist at Ventia Pty Ltd
Australia |  English
USD 131 / 60 min
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About

More than 12 years of experience in building Machine Learning models for the industry to solve business problems in Retail, Infrastructure, Finance and Telecom domain. Leading the Data Science practice managed to engage with multiple clients and delivered complex analytical projects.

Meticulous Data Scientist accomplished in compiling, transforming and analysing complex information to identify relationships and build solutions to solve business problems.

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Availability
  • Saturday: 7:30 PM – 3:30 AM
  • Sunday: 7:30 PM – 3:30 AM
Skills
Data Science Mentorship Session
4+ Year
Experience
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Qualifications & Certifications

Educational Background
  • 2008 – 2012: Bachelor of Engineering, Computer Science, Visvesvaraya Technological University , M V J College of Engineering, Bangalore

Certifications
  • No certifications available.

Professional Experience

Ventia Pty Ltd

Years: 2020 – Present

About: Being a part of central Data Analytics team for the organization responsible for helping the stakeholder to take data driven decisions with responsibilities that included, but not limited to: • Leveraging analytics to drive business development, productivity and process improvement. • Providing comprehensive analysis and recommend solutions to address complex business problems and issues using data from internal and external sources and applied advanced analytical methods • Collect, cleanse and store data from disparate sources received from clients to rapidly deliver POCs that can help the clients to better understand the problem and tackle using a data centric approach. Key achievements include: • Solution developed for client Yarra Valley water nominated for an award from the Australian Water Association. • Architected and developed an end-to-end Machine Learning Ops (MLOps) Framework on Azure to enable building and deploying of Machine Learning assets and pipelines. • Deployed over 150 forecasting models using the in house MLOps framework • Predictive maintenance of assets (Pumps, Motors, Air filters) at a Health site using Machine Learning which helped in optimizing maintenance schedules. • Implemented a route optimization model for service engineers that saves time and resources resulting in overall improvement of productivity and reduction in operational costs.Being a part of central Data Analytics te

Maltem Australia

Years: 2021 – 2021

About: As a global consulting firm, Maltem Australia specialises in data analytics, change management and technology transformation. Leading the Data Science practice within the organisation, we help our clients achieve the true potential of their data by advising and building state-of-the-art analytical solutions that embed within their system to unlock critical business value. My role involves: • Define and communicate the data science strategy in alignment with the firm's overall goals and objectives. • Recruit, build, and manage a high-performing data science team, including data scientists, machine learning engineers, and data analysts. • Work closely with clients to understand their specific business challenges and objectives, and recommend data-driven solutions. • Working across the APAC region’s Business development team to participate and often lead the pre-sales conversation & and presentations • Provide guidance and mentorship to team members, fostering their professional developmentAs a global consulting firm

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