Muhammad Ajlal Khan Email & Phone Number

Lahore, Punjab, Pakistan

I am closely working with the IDEAS FOR US team to find sustainable solutions of the environmental problems in Pakistan. In the wake of the intense climate change, I am fulfilling my part by engaging myself in volunteer work on climate action in Pakistan. I know the importance of climate sustainability and that is why I am putting my full effort into.

Munich, Bavaria, Germany

• Developed custom web applications using JavaScript frameworks such as React.js for front-end and Node.js for the backend, ensuring responsive and user-friendly interfaces.
• Utilized Python, Java, and JavaScript to develop robust web/mobile applications, which were then deployed on Linux servers, demonstrating an understanding of the software development lifecycle.
• Utilized npm packages to enhance functionality and streamline the development process, resulting in efficient project delivery.
• Leveraged C++ and Python, with frameworks like Flask and Django, to build robust backend systems, handling complex data processing and storage requirements effectively.
• Implemented HTML and CSS to design visually appealing and intuitive user interfaces, adhering to client specifications and industry best practices.
• Worked on Backend development, Debugging, and Coding in over 30 projects.

Lahore, Pakistan

• Worked with clients to understand business needs and translate those business needs into actionable reports in Power BI, saving hours of manual work each week.
• Coordinated with the product and marketing teams to determine what kind of client interactions resulted in maximized service opt-ins, increasing conversions.
• Communicated with project managers and analysts about data pipelines that increased efficiency KPIs.
• Built a customer attrition random forest model that improved monthly retention for clients likely to opt-out by providing relevant product features.
• Verified results of algorithms to predict future occurrences using real-world program data with 82% precision.
• Conducted A/B testing on machine learning models to identify optimal model configurations that increased user retention.

Lahore, Punjab, Pakistan

Lahore, Pakistan

• Collected, cleaned, and pre-processed data from clients using Python, SQL, Power BI, and Excel to help data scientists build marketing mix models, resulting in a lift in ROI of 10 basis points.
• Organized, submitted, and reported monthly client enrollments, services opted in for, and the employees assigned to clients.
• Designed and implemented over 40 machine-learning models for different programs and projects.
• Automated ETL processes across billions of rows of data, which reduced manual workload by 29% monthly
• Integrated 6 pipelines to feed data to machine learning and language processing models.
• Partnered with a developer to implement APIs, enabling the analytics team to increase reporting speed by 24%.

Orlando, Florida, United States