Anish Pimple

Anish Pimple Email and Phone Number

Senior Consultant @ Scyne Advisory, Data & Digital @ Scyne Advisory
Anish Pimple's Location
Adelaide, South Australia, Australia, Australia
About Anish Pimple

Anish is a seasoned professional capable at providing innovative and impactful solutions in technology and business. He is a Consultant for Scyne Advisory Pty Ltd (formerly known as PricewaterhouseCoopers).His role at Scyne Advisory Pty Ltd includes creating bespoke data centric solutions for exceptional service delivery. He uses Python, JavaScript, React, Azure, and AWS in his current role to design data processing and visualisation pipeline. He tackles problems with a strategic mindset with a focus on problem-solving and process improvement. He has been working on data related projects for 5+ years and is proficient in data analysis and quality assurance processes. He holds strong skills in using Data Analytical tools such as Python, PowerBI and Machine Learning through his previous roles working as a Data Scientist. Over his years of experience, he has developed skills in leading teams and fostering collaboration.Key Achievements: - Has been part of successful projects, exceeding client expectations - Implemented solutions for efficiency improvements - Recognised for exceptional service delivery and client satisfaction

Anish Pimple's Current Company Details
Scyne Advisory

Scyne Advisory

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Senior Consultant @ Scyne Advisory, Data & Digital
Anish Pimple Work Experience Details
  • Scyne Advisory
    Senior Associate
    Scyne Advisory Aug 2024 - Present
    Australia
  • Scyne Advisory
    Analytics Consultant
    Scyne Advisory Nov 2023 - Aug 2024
    Australia
  • Pwc Australia
    Consultant
    Pwc Australia Jan 2022 - Nov 2023
    Adelaide, South Australia, Australia
  • Datadisca
    Data Scientist
    Datadisca Jul 2019 - Jan 2022
    Melbourne, Victoria, Australia
  • Junior Engineers
    Instructor
    Junior Engineers Mar 2020 - Dec 2021
    - Planning, preparing and delivering lessons to all students in the class, according to the curriculum set bythe Employer- Instructing according to the educational needs and abilities of the individual students and groups ofstudents- Collaborating with other instructors and stakeholders and participating in regular face-to-face and virtual meetings set by the Employer- Assistance in developing the methodology to educate students about the topic (problem-solving, small group discussions, individual instruction, etc.) and then implementing these methodologies in the classroom
  • Insidesherpa
    Data Science Virtual Intern
    Insidesherpa Jan 2020 - Feb 2020
    Melbourne, Australia
    - Analyze wrangled workforce data and report on trends in part-time working- Analyze trends over time in male and female employment part-time and full-time- Presented change in the statistics over the last 4 years- Projection of what the representation will be by 2025 if the current trends continue- Prepared a discussion paper of my analysis that would be suitable for a discussion aid

Anish Pimple Skills

Neural Networks Scikit Learn R Amazon Web Services Regular Expressions Windows Matlab Data Analysis Communication Apache Kafka Rest Apis Time Series Analysis Anaconda Tableau Pycharm Oracle Sql Developer Pyspark Apache Spark Microsoft Excel Jupyter Anomaly Detection Pytorch Ubuntu Python Sql Management Optimization Research Machine Learning Data Mining Microsoft Power Bi

Anish Pimple Education Details

Frequently Asked Questions about Anish Pimple

What company does Anish Pimple work for?

Anish Pimple works for Scyne Advisory

What is Anish Pimple's role at the current company?

Anish Pimple's current role is Senior Consultant @ Scyne Advisory, Data & Digital.

What schools did Anish Pimple attend?

Anish Pimple attended Monash University, Mumbai University Mumbai.

What skills is Anish Pimple known for?

Anish Pimple has skills like Neural Networks, Scikit Learn, R, Amazon Web Services, Regular Expressions, Windows, Matlab, Data Analysis, Communication, Apache Kafka, Rest Apis, Time Series Analysis.

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