Muhammad Zaid Bamber

A hardworking and resourceful individual committed to building user-friendly, functional, and sustainable web applications. Experienced backend developer with over 3 years of hands-on experience in Python and Django. Highly skilled in project management and multitasking to deliver complex projects within tight deadlines.

Talented and self-motivated data analyst with significant experience in data mining, statistical analysis, data warehousing, and data modeling. Seeking challenging opportunities to use excellent problem-solving skills to automate processes and drive operational efficiency.

Kraken Field | London, England

Backend Developer

09/2023 - 02/2024

• Hands-on experience in the following i.e. Python, Django, DRF, HTML, CSS, JavaScript, AWS, PHP, React, CI/CD, MySQL, PostgreSQL, and Jquery.
• Proficient in utilizing Python libraries such as Pandas and NumPy for advanced data manipulation, analysis, and numerical computations. 
• Proficient in coding practices adhering to PEP8 conventions, ensuring clean, readable, and standardized Python code.
• Maintained and improved existing websites and applications, enhancing user experience and functionality.

Xiq Inc | Lahore

Backend Developer

12/2019 - 02/2022

• Developed new features and optimized existing ones for CMS, using Python, Django, Django rest framework, and Python libraries such as Pandas and NumPy.
• Deployments and versioning on Azure cloud, and GitHub. Experienced coding in React using JavaScript, HTML5, jQuery, and CSS to create dynamic and responsive web applications.
• Upgraded and optimized critical queries for production code to increase performance and loading time.
• Integrated and Implemented code base to handle emails sent through SendGrid along with AWS SES.
• Apart from that my day-to-day responsibilities also include code reviews and discussions about optimization.

  Build REST APIs and write unit tests.

Arbisoft | Lahore

Software Engineer

07/2018 - 11/2019

• Contributed to enhancing the Open edX platform by implementing new features within the Learning Management System (LMS) utilizing Python and its libraries such as Pandas, Numpy, Django framework, and Docker for efficient development and deployment.

De Montfort University | Leicester, UK

Master of Science in Data Analytics - Distinction

01/2022 - 01/2023

Projects:

NHS Cancer Patients Data Analysis

• Conducted a comprehensive analysis of cancer patients' data obtained from the National Health Service (NHS). 
• Leveraged Tableau to perform data visualization and generate interactive dashboards for clear and insightful representation of findings.
• Created various visualizations, including bar charts, line graphs, heat maps, and geographic maps, to effectively communicate data-driven insights.

EDA on Road Safety Accidents in the United Kingdom

• Used Python and Pandas for data cleaning, preprocessing, and manipulation.
• PySpark for distributed data processing, allowing for efficient analysis of large datasets.
• Built predictive models using machine learning algorithms to forecast accident severity and identify high-risk areas. Technical skills: Python, PySpark, SQL, Pandas, NumPy, PySpark DataFrame API, Seaborn, Matplotlib, Hadoop, Spark, MapReduce