Rana is available for hire
Hire RanaRana Muhammad Usman
Verified Expert in Engineering
Data Scientist and Developer
Islamabad, Islamabad Capital Territory, Pakistan
Toptal member since October 22, 2024
Bio
Rana is a skilled marketing business analyst with AI, ML, and NLP expertise. He has led impactful projects in predictive analytics, lead optimization, and interest profiling at companies like Toptal and Veon Group. Passionate about solving complex problems and driving business success, Rana excels at combining data insights with business strategy, delivering solutions like predictive lead models and AI-integrated tools.
Portfolio
Toptal, LLC
Python, Python 3, Machine Learning, Artificial Intelligence (AI)...
Jazz Pakistan
R, Tableau, Microsoft Power BI
Experience
- Artificial Intelligence (AI) - 10 years
- Machine Learning - 10 years
- Data Science - 9 years
- Recommendation Systems - 6 years
- People Analytics - 5 years
- Generative Artificial Intelligence (GenAI) - 2 years
- Business Analytics - 2 years
- Marketing Analytics - 2 years
Availability
Part-time
Preferred Environment
Jupyter Notebook, R
The most amazing...
...thing I've built is an email recommender system at Toptal that delivers personalized content based on user profiles, increasing engagement and lead conversion.
Work Experience
Business Analyst
2022 - 2024
Toptal, LLC
- Built a predictive lead value model, directing ad spend for more efficient budget allocation and improved marketing performance.
- Developed a multitouch attribution model using Markov chains, enabling clear insights into customer journeys and optimizing marketing efforts.
- Created an email recommender system that delivered personalized content, enhancing user engagement and improving lead nurturing processes.
- Led the integration of AI tools like Slackbot to summarize sales calls, streamlining insights for lead nurturing and sales strategy.
- Automated customer interest profiling, enabling targeted communication and improving the relevance of marketing efforts.
- Implemented a system for detecting fraudulent leads, improving lead quality and enhancing the efficiency of sales teams.
- Designed and implemented a lead forecasting model to optimize inbound sales representatives' scheduling and improve resource allocation.
- Enhanced content visibility and drove organic traffic growth by building an SEO scoring tool for blog and skill pages.
- Identified the point of diminishing returns and refined budget strategies by developing a system to measure ad spend efficiency.
Technologies: Python, Python 3, Machine Learning, Artificial Intelligence (AI), Generative Artificial Intelligence (GenAI), R, Recommendation Systems, Data Science, Marketing Analytics, Business Analytics, People Analytics, OpenAI API, Gemini API, Open Source
Senior Data Scientist | Lead People Analytics
2018 - 2022
Jazz Pakistan
- Delivered real-time insights into workforce sentiment and improved HR decision-making after building an employee pulse system from scratch.
- Streamlined performance tracking across departments and reduced manual reporting time by developing and automating a talent analytics dashboard.
- Created a predictive model for employee turnover, allowing leadership to take proactive steps in retention and workforce planning.
- Implemented a sales compensation analytics tool, optimizing commission structures and aligning incentives with business goals.
- Designed a system to automate resume shortlisting, reducing hiring time and improving the quality of candidate selection.
- Developed people insights dashboards, enabling data-driven decisions in talent management and operational efficiency.
- Built a headcount forecasting tool that helped leadership plan effectively for future staffing needs.
- Automated performance management reports, providing real-time data for improved employee evaluations and performance tracking.
- Led the creation of industry-specific analytics solutions, such as intelligent fleet management for logistics and intelligent pigging for the oil and gas sector, enhancing operational efficiency.
Technologies: R, Tableau, Microsoft Power BI
Experience
AI Agents
https://github.com/ranausmans/AIAgentsLed the development of the NYC AI Agents project, which focused on building multiple traffic management agents to monitor and control urban traffic in real time. These AI-driven agents communicated and collaborated to optimize traffic flow, reduce congestion, and enhance city-wide mobility.
I designed the system architecture, integrated advanced ML models for traffic prediction, and ensured seamless communication between the agents. I also implemented algorithms that analyzed traffic patterns, predicted bottlenecks, and dynamically adjusted traffic signals to improve flow. My work helped streamline urban traffic management—reducing delays and improving efficiency across the city's transportation network. This project showcases my ability to apply AI in practical, large-scale scenarios, resulting in enhanced city operations and a smoother commuter experience.
I designed the system architecture, integrated advanced ML models for traffic prediction, and ensured seamless communication between the agents. I also implemented algorithms that analyzed traffic patterns, predicted bottlenecks, and dynamically adjusted traffic signals to improve flow. My work helped streamline urban traffic management—reducing delays and improving efficiency across the city's transportation network. This project showcases my ability to apply AI in practical, large-scale scenarios, resulting in enhanced city operations and a smoother commuter experience.
Talk to PDF Chatbot
https://github.com/ranausmans/AI-ChatbotDeveloped the Chat to PDF AI bot, enabling users to extract and interact with text from PDF documents through conversational AI.
I built the system's architecture, integrated NLP models for accurate text extraction, and ensured secure data handling with encryption and automated deletion. The bot allowed users to query PDFs and receive context-specific responses—providing a simple, efficient solution for document interaction.
I built the system's architecture, integrated NLP models for accurate text extraction, and ensured secure data handling with encryption and automated deletion. The bot allowed users to query PDFs and receive context-specific responses—providing a simple, efficient solution for document interaction.
Education
2007 - 2011
Bachelor's Degree in Software Engineering
Center for Emerging Sciences, Engineering, and Technology (CESET) - Islamabad, Pakistan
Certifications
JUNE 2015 - PRESENT
Data Science Specialization
Coursera
Skills
Libraries/APIs
OpenAI API
Tools
Microsoft Power BI, Tableau
Languages
R, Python, Python 3
Platforms
Jupyter Notebook
Paradigms
Agile
Other
Artificial Intelligence (AI), Generative Artificial Intelligence (GenAI), Recommendation Systems, Data Science, People Analytics, Marketing Analytics, Business Analytics, Machine Learning, Gemini API, Open Source
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