PRANAV MISRA
Student
Midrand
Summary
Enthusiastic IT student studying a Bachelor of Commerce in Information and Technology Management at Mancosa. I'm curious about the uses and creation of data, as well as how it can be used to help the business world thrive.
Overview
5
5
years of post-secondary education
3
3
Certificates
Education
Bachelor of Commerce in Information And Technology - Information Technology
Mancosa
Online 02.2023 - Current
High School Diploma -
Rand Park High School
Rand Park Ridge, Johanessburg 01.2020 - 12.2021
High School Diploma -
Stanger Manor Secondary School
Stanger Manor, Kwa Zulu Natal 01.2017 - 12.2019
Skills
Visualization
Accomplishments
In 2022, I earned a Certificate in Harvard Data Science for Business as well as a Professional Certificate in Data Analytics from Google.
Certification
Data Science for business by Harvard
Timeline
Bachelor of Commerce in Information And Technology - Information Technology
Mancosa
02.2023 - Current
Harvard Data Science for Business
Harvard Business
11.2022 - 12.2022
Google Data Analytics Professional Certificate
Coursera
10.2022 - 04.2023
High School Diploma -
Rand Park High School
01.2020 - 12.2021
High School Diploma -
Stanger Manor Secondary School
01.2017 - 12.2019
Work History
Google Data Analytics Professional Certificate
Coursera
Johannesburg
10.2022 - 04.2023
- Strengthened communication skills through regular interactions with others.
- Passionate about learning and committed to continual improvement.
- Worked well in a team setting, providing support and guidance.
- Participated in team projects, demonstrating an ability to work collaboratively and effectively.
- Gain an understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job.
- Discover a wide variety of terms and concepts relevant to the role of a junior data analyst, such as the data life cycle and the data analysis process.
- Effective questioning techniques that can help guide analysis.
- Gain an understanding of data-driven decision-making and how data analysts present findings.
Harvard Data Science for Business
Harvard Business
Online
11.2022 - 12.2022
- Think outside of the spreadsheet and use data effectively to make business decisions.
- Build a data-driven framework for organizations; generate hypotheses and insights from visualization.
- Identified data errors or missing components and learned how to speak the language of data science across themes like forecasting, linear regressions, and machine learning to achieve better long-term success.
- Incorporated visualizations throughout the data science process
- Interpret linear regression results
- Critique existing charts and identifying methods of improvement
- Generate insight with graphs and designed visualizations to express data clearly
- Using SQL to sort, create and join Databases
- Identify solutions for managing missing data
- Worked well in a team setting, providing support and guidance.
Languages
English
Hindi
Afrikaans
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