Description

I'm a dedicated Data Analyst with a proven track record of transforming complex data sets into actionable insights that drive strategic decisions and deliver measurable outcomes. My academic credentials include a Bachelor's degree (with honors) and an M.Phil in Computer Science, providing a robust foundation for my professional pursuits.

My technical expertise spans data wrangling, statistical analysis, data visualization, and machine learning, further validated by my Google Data Analyst certification. I've applied these skills in various roles, from junior to senior positions, across different industries.

Notably, I have had the privilege of providing critical data analysis for high-impact projects initiated by World Bank and Government of Pakistan. This experience has honed my ability to deliver actionable insights for key decision-making processes in high-stakes environments.

In addition to my data analysis roles, I've also spent seven years as a freelance Mobile Application Developer, creating a diverse range of applications for Android and iOS. This experience has given me a unique perspective on data-driven decision making and problem-solving.

I'm always eager to take on new challenges and leverage my skills to drive impactful results.

Industry field of expertise

Languages

Urdu
Native or bilingual
English
Fluent
Punjabi
Conversational

Workplace preferences

Can work on-site

Dubai (up to 50km)

SBS Real Estate
Data Analyst
DIGITAL AND IT
December 2022 - May 2023 (5 months)
Dubai, United Arab Emirates
Spearheaded data-driven strategies to identify underperforming assets, formulating tactical recommendations that amplified rental revenue.

Deployed sophisticated data analysis to refine marketing efforts, enhancing customer segmentation and elevating overall user experience.

Assessed the impact and value of initiatives through return on investment (ROI) analysis.

Delivered comprehensive monthly reports utilizing advanced Excel, bolstering organizational efficiency and decision-making capabilities.
SQL Python Microsoft Office Data analysis Data visualization Data mining
i3 Consulting
Junior Data Analyst
DIGITAL AND IT
March 2019 - October 2022 (3 years and 8 months)
Provided critical data analysis for high-impact projects initiated by entities such as the World Bank and the Government of Pakistan, informing key decision-making processes.

Demonstrated creativity and visual thinking skills by collecting data from various sources to ensure comprehensive analysis and visualizing data using advanced tools for clear and effective representation.

Worked with the development team, including UX/UI designers and developers, to ensure accurate data tracking, tagging, and instrumentation.

Built effective dashboards to provide visibility to operational metrics and share analytical insight.

Prepared and presented reports, providing actionable insights to stakeholders, showcasing strong communication skills.
SQL Python HTML JavaScript Microsoft Office Data analysis Data visualization Data mining
Elogics
Data Analyst
DIGITAL AND IT
July 2018 - August 2019 (1 year and 2 months)
Remote, United States
Transitioned to a data analysis role in 2018, leveraging my technical background in mobile app development to drive data-driven decision making. Some noteworthy projects are:

Breast Cancer Information Quality Tool:

Oversaw data collection and preprocessing for the Breast Cancer Information Quality Tool, ensuring data quality and integrity.
Implemented the Fuzzy VIKOR algorithm to assess the quality of breast cancer information. Improved its mobile and server - side integration.

Baby Cry Detection Application:

Led the data cleaning, and transformation process for large audio datasets, ensuring the accuracy and reliability of data for machine learning modeling.
Integrated a machine learning model developed in Python into an Android application, improving the app's functionality and user experience.
Collaborated with the app development team to ensure seamless integration of the machine learning model, enhancing the app's performance by 32%.
Data science Machine learning Python Android SQL Data visualization