2.
Years
DATA SCIENCE ASSISTANT
ABDUL REHMAN.
Data-driven professional with a background in computer science, eager to advance my skills in data analysis and machine learning. With a foundational understanding of data manipulation and statistical modeling. I am committed to applying these skills to help organizations make data informed decisions.
Education
2014 - 2015
GCE ‘O’ LEVEL (IN SCIENCE)
SSC: 653/900
(72.55%)
2014 - 2018
GCE ‘A’ LEVEL
HSSC: 725/1100
(65.91%)
2009 - 2020
BACHELOR IN COMPUTER SCIENCE
2.27 GPA
(64.96%)
Certifications
2010
INTERNATIONAL KANGAROO MATHEMATICS CONTEST
1ST POSITION
2011
INTERNATIONAL KANGAROO MATHEMATICS CONTEST
PARTICIPATED
2012
UNIVERSITY OF CAMBRIDGE INTERNATIONAL EXAMINATIONS
CAMBRIDGE CHECKPOINT 2012
2012
INTERNATIONAL KANGAROO MATHEMATICS CONTEST
PARTICIPATED
2013
INTERNATIONAL KANGAROO MATHEMATICS CONTEST
PARTICIPATED
2014
MATHS OLYMPIAD IN ROOTS IVY OLYMPIAD
2ND POSITION
2015
ROOTS IVY INTERNATIONAL SCHOOL AUTECHNO-BIZ EXPO
DISTINCTION IN HOME SECURITY SYSTEM
2015
ROOTS IVY INTERNATIONAL SCHOOL AUTECHNO-BIZ EXPO
DISTINCTION IN SOLAR PANEL PROJECT
2015
ROOTS IVY INTERNATIONAL SCHOOL AUTECHNO-BIZ EXPO
DISTINCTION IN C++
PROGRAM PROJECT
2015
INTERNATIONAL KANGAROO MATHEMATICS CONTEST
PARTICIPATED
JOB EXPERIENCES
Aug 2023 - Nov 2023
Jan 2024 - On going
DATA ANALYST INTERN.
DATA SCIENCE ASSISTANT.
KODING STUDIO
THE MAVIN STUDIOS
- Analyzed project and customer data to identify trends and support data-driven decision making processes for app development projects.
- Assisted in gathering and cleaning datasets to ensure data
accuracy for ongoing analyses. - Created insightful data visualizations and reports using Excel and Google Sheets, presenting findings to team members and stakeholders.
- Supported data scientists in analyzing client and marketing data to uncover insights and trends that informed strategic decisions.
- Developed a few interactive dashboards and visual reports using Power BI and Tableau to provide key business insights.
- Assisted in implementing machine learning models to predict campaign performance and optimize marketing efforts.
Software Proficiencies
Microsoft Visio
Adobe Suite
Jupyter Notebooks
Microsoft Excel
Google Suite
Figma
Filmora
CapCut
Canva