Summary
Work History
Education
Skills
Timeline
Generic
MAHEER IHTEJAZ MOIN

MAHEER IHTEJAZ MOIN

Minto

Summary

Results-driven and detail-oriented aspiring Data Engineer with previous project experience in data manipulation and leveraging statistical tools to support decision-making. Proficient in Python, R, Java, and SQL. Currently pursuing a Bachelor's degree in Advanced Computing specializing in Computational Data Science. Successfully completed three projects involving data cleaning, organization, manipulation, and drawing insightful conclusions through statistical modeling. Demonstrated ability to handle complex data sets and make data-driven decisions. Actively enhancing data engineering skills with a focus on data pipelining and efficient data ingestion and transport.

Work History

Intern

2A Marketing PTY LTD
01.2024 - 04.2024
  • Learned about database management and efficient data handling
  • Gained hands-on experience on market analysis
  • Used R programming language to generate a report about the institutes current import export and future growth plans
  • Learned and gained crucial experience with networking
  • Contacted potential clients with business proposals and attended networking events
  • Gained hands-on experience on team building and management


Education

Bachelors of Advanced Computing - Computational Data Science, Business Analytics

University of Sydney
01-2027

Skills

  • Proficient in Python
  • Completed four projects in Python
  • Made a Software which compares music listened to by 2 or more users Compares their music taste and provides a similarity rating it also recommends songs that are not common between users
  • Proficient in R Programming
  • Worked on 3 projects with R for Data Analysis Generated a natural disasters report with a natural disasters data set After data cleaning and organization, found trends and patterns that proved a relationship between rise in temperature and increase in the frequency of natural disasters A t-test was conducted to determine the p-value for hypothesis testing, assessing the statistical significance of the results Additionally, a residual plot was utilized to validate the assumption of linearity in the scatter plot, ensuring the appropriateness of the fitted linear regression model Multiple box-plots where constructed for confirmation of the result and limitations within the data-set and data collection techniques were also found
  • SQL Data Management
  • Learned SQL Data Management from HackerRank Managed, queried and manipulated Databases Solved SQL projects from HackerRank
  • Market Research
  • Learned about market research, market analysis and networking when I completed my internship at 2A Marketing PTY lTD
  • Team Coordination
  • Effective Networking Skills
  • Statistical analysis such as t-test, scatter plot, residual plot, normal distribution curve was used for Data Analytics projects Completed a Natural Disasters projects using the following tools

Timeline

Intern

2A Marketing PTY LTD
01.2024 - 04.2024

Bachelors of Advanced Computing - Computational Data Science, Business Analytics

University of Sydney

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MAHEER IHTEJAZ MOIN