Utkarsh Patel

Data Analyst at Tibaldi
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Contact Information
us****@****om
(386) 825-5501
Location
Clayton, Victoria, Australia, AU
Languages
  • Hindi Native or bilingual proficiency
  • Gujarati Native or bilingual proficiency
  • English Full professional proficiency

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Credentials

  • Creative Thinker & Problem Solver
    Gradability
    Apr, 2023
    - Nov, 2024
  • Culture Conscious
    Gradability
    Apr, 2023
    - Nov, 2024
  • Google Data Analytics
    Coursera | Google
    Nov, 2022
    - Nov, 2024
  • Microsoft Azure for Data Engineering
    Coursera
    Nov, 2022
    - Nov, 2024
  • Working with Children Check (Employee)
    Department of Justice and Community Safety, Victoria
    Jun, 2021
    - Nov, 2024
  • FFWD Entrepreneur
    Haymarket HQ
    May, 2021
    - Nov, 2024
  • Standard Mental Health First Aider
    Mental Health First Aid® Australia
    Oct, 2020
    - Nov, 2024

Experience

    • Australia
    • Food Production
    • 1 - 100 Employee
    • Data Analyst
      • Jun 2021 - Present

      • Achieved precise reporting and data quality on daily basis with a 𝟵𝟵% 𝗮𝗰𝗰𝘂𝗿𝗮𝗰𝘆 𝗿𝗮𝘁𝗲 to process KPI reports and dashboards in Finance department • Receive, preprocess, and manipulate data from the 𝗳𝗶𝗻𝗮𝗻𝗰𝗲, 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻, 𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗮𝘀𝘀𝘂𝗿𝗮𝗻𝗰𝗲, and 𝘀𝗮𝗹𝗲𝘀 departments • Implement the 𝗗𝗕𝗠𝗦 and 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜-𝗯𝗮𝘀𝗲𝗱 𝘀𝘆𝘀𝘁𝗲𝗺 for analytical reporting in real-time • Collaborated with the technical team to produce a cloud-based system to generate automated reports through the 𝗦𝗔𝗣 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 • Increased technical efficiency by more than 𝟯𝟬%, 𝗯𝘆 𝘂𝘁𝗶𝗹𝗶𝘀𝗶𝗻𝗴 𝗦𝗤𝗟, 𝗘𝘅𝗰𝗲𝗹, and 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 to analyse and process large datasets • Developed customised dashboards fed with live data to track performance of teams • Assisted in designing 𝗰𝗹𝗼𝘂𝗱 (𝗦𝗮𝗮𝗦) 𝗯𝗮𝘀𝗲𝗱 𝘀𝘆𝘀𝘁𝗲𝗺 and led 100+ paper-based assignments to data collection model in digital project Show less

    • Australia
    • Higher Education
    • 700 & Above Employee
    • Data Scientist / Data Analyst (Industry Project)
      • Feb 2020 - Jun 2021

      • Deployed 𝗽𝗿𝗲𝗹𝗶𝗺𝗶𝗻𝗮𝗿𝘆 𝗵𝗲𝗮𝗿𝘁 𝗱𝗶𝘀𝗲𝗮𝘀𝗲 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗺𝗼𝗱𝗲𝗹 to predict whether a given patient is suffering from heart disease Angina in a collaborative project with 𝘁𝗵𝗿𝗲𝗲 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 • Implemented 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴-𝗯𝗮𝘀𝗲𝗱 𝗳𝘂𝘇𝘇𝘆 𝗹𝗼𝗴𝗶𝗰 to classify and measure risk assessment of heart disease • Constructed the Ensemble learning consisting of 𝗥𝗮𝗻𝗱𝗼𝗺 𝗙𝗼𝗿𝗲𝘀𝘁, 𝗡𝗲𝘂𝗿𝗮𝗹 𝗡𝗲𝘁, 𝗮𝗻𝗱 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 𝗩𝗲𝗰𝘁𝗼𝗿 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 (𝗦𝗩𝗠) 𝗺𝗼𝗱𝗲𝗹𝘀, which improved the 𝘀𝗲𝗻𝘀𝗶𝘁𝗶𝘃𝗶𝘁𝘆 and 𝗔𝗿𝗲𝗮 𝗨𝗻𝗱𝗲𝗿 𝘁𝗵𝗲 𝗖𝘂𝗿𝘃𝗲 (𝗔𝗨𝗖) values by more than 𝟮𝟱% as compared to other models, making it compact and reliable to be used by physicians for preliminary diagnosis of disease • Monitored team performance record through project management based 𝗔𝘀𝗮𝗻𝗮 platform and 𝗚𝗶𝘁𝗛𝘂𝗯 𝗩𝗲𝗿𝘀𝗶𝗼𝗻 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 • Designed algorithms in 𝗥-𝘀𝘁𝘂𝗱𝗶𝗼 and built a user interface to host predictive models on the server • Developed and deployed a 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗯𝗮𝘀𝗲𝗱 𝗰𝗼𝗴𝗻𝗶𝘁𝗶𝘃𝗲 𝗻𝗲𝘂𝗿𝗮𝗹 𝗺𝗼𝗱𝗲𝗹 to predict animals' behavior that improved animals' health and wellbeing 𝗯𝘆 𝟯𝟬% • Reduced client’s workload by 50% through the implementation of an 𝗛𝗧𝗠𝗟, 𝗦𝗔𝗣, 𝗮𝗻𝗱 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁-𝗯𝗮𝘀𝗲𝗱 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄 in 𝗔𝗴𝗶𝗹𝗲 𝗲𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁 • Interpreted data as the primary point of contact with operators at stakeholder's site, leading strategy for 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 • Reduced the 𝗮𝘃𝗲𝗿𝗮𝗴𝗲 𝘁𝗶𝗰𝗸𝗲𝘁 𝗮𝗴𝗲 𝗯𝘆 𝟮𝟭𝟬 𝗱𝗮𝘆𝘀, by building Python scripts that sent email reminders with weekly status to ticket owners • Defined impact metrics for engineering team and implemented over 𝟯𝟬 𝗿𝗲𝗽𝗼𝗿𝘁𝘀 𝗮𝗻𝗱 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀 that provided actionable insights • Assisted in creating an 𝗔𝗪𝗦 𝗖𝗜 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲, reducing data processing time by 30% Show less

Education

  • Performance Education
    Professional Year, Information Technology
    2022 - 2023
  • Monash University
    Bachelor of Computer Science (Honours), Data Science
    2017 - 2021
  • University of North Carolina at Charlotte
    Cultural Exchange Program, Business Communication, Leadership and Negotiation Skills
    2019 - 2019

Community

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