SHIVANGI AGRAWAL

Data Analyst at Macutex
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
Melbourne, Victoria, Australia, AU

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

You need to have a working account to view this content.
You need to have a working account to view this content.

Credentials

  • SQL for Data Science With Google Big Query
    Udemy

Experience

    • Australia
    • Facilities Services
    • 1 - 100 Employee
    • Data Analyst
      • Apr 2022 - Present

      -Produce data visualizations, dashboards, report development using Power BI and Tableau -Handle Big data, ETL operations, Data wrangling, Data processing -Write SQL queries -Build data collection tools using company preferred applications. Ensure tool is fit for purpose and designed efficiently -Make recommendations to improve use of data systems and how data is handled -Improve process for standardization of data capture, database management and data integrity -Data validation using set Quality Assurance procedures. -Maintain, amend and enhance existing database

    • Data Analyst
      • Aug 2021 - Apr 2022

      -Worked with large and complex data. Data collection, interpretation, and analysis. Collected data from different sources to combine and prepare a large dataset and cleaned it for further use. -Coordinated statistical data analysis, design and information flow. -Have completed multiple projects involving Big Data Analysis and future prediction. -Worked on a Dashboard with several powerful visualisations and insights. -Used various Machine Learning and AI techniques such as Data Modelling and Feature Engineering for forecasting. -Developed tables, views and materialized views using SQL. -Recommended data standardization and usage for protection of data integrity. -Synthesized current business intelligence data to produce reports and polished presentations, highlighting findings and recommending changes. -High quality insights reporting and documentation.

    • Australia
    • Financial Services
    • 1 - 100 Employee
    • Data Science Intern
      • Feb 2021 - Jul 2021

      -Data collection from live web resources using APIs in Python, data cleaning, wrangling and organization. -Data Mining, Pattern recognition and modelling using Machine Learning techniques such as Decision trees, ANN and Clustering. -Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of best placement for needed resources. -Evaluated trends to understand competitive environments and assess current strategies. -Compiled, evaluated and reviewed engineered data for internal system. -Documented business workflows for stakeholder review. -Data preparation using Power Query and SQL. -Storytelling with Data using advanced Data Visualization techniques in Power BI and MS Excel. -Agile methodology, sprint planning and reviews, collaboration with stakeholders. -Elaborate reporting and presentation for stakeholders at the end of project.

    • Data Intern
      • Nov 2020 - Feb 2021

      -Extensive data collection, data cleansing, improving profitability by suggesting new strategies based on data modelling and machine learning techniques. -Power BI reporting, dashboard creation, complex formula development. -Advanced Excel, Excel macro development, dashboard creation in Excel. -Participated in requirements meetings and data mapping sessions to understand business needs. -Extensive data collection, data cleansing, improving profitability by suggesting new strategies based on data modelling and machine learning techniques. -Power BI reporting, dashboard creation, complex formula development. -Advanced Excel, Excel macro development, dashboard creation in Excel. -Participated in requirements meetings and data mapping sessions to understand business needs.

    • Data Analyst
      • Apr 2018 - Apr 2019

      -Designed and developed schema data models. -Created and improved intelligence resources to facilitate consistent data management strategies. -Identified and documented project constraints, assumptions, business impacts, risks and scope exclusions. -Data analysis and prediction using Machine Learning and Data Modelling Techniques, attribute selection and expansion, decision tree, clustering, Data Mining, Data Visualization. -Big Data analysis, statistical analysis for strategic policy formation, hypothesis testing, searching data for interesting hidden patterns and drawing insights. -Worked on cloud-based platforms such as AWS, Azure. Learnt JAVA Frameworks and worked on projects involving JavaScript, CSS, SQL. -Worked with desktop application development project for creating a web-based platform for company employees with PHP, MySQL and API integration.

Education

  • RMIT University
    Master's degree, Data Science
    2019 - 2021
  • Vellore Institute of Technology
    Bachelor of Technology - BTech, Computer Science
    2014 - 2018

Community

You need to have a working account to view this content. Click here to join now