Faraz Ahmad Email & Phone Number

Pittsburgh, PA, US

Pittsburgh, Pennsylvania, United States

Pittsburgh, Pennsylvania, United States

Pittsburgh, Pennsylvania, United States

• CMU 95-851 Making Products Count: Data Science for Product Managers
• Research, development and enhancement of course materials to bridge the gap between product management principles and technical data science applications.
• Conducted interactive recitation sessions, running live code demonstrations to reinforce technical concepts enhancing students' proficiency in applying data science techniques to product management challenges.
• Provided hands-on student support, including grading assignments and offering personalized assistance during office hours.

• Spearheaded the development and implementation of global databases, leveraging SQL, Snowflake and machine learning, to centralize and optimize emissions data management resulting in a 50% reduction in data processing.
• Led cross-functional collaboration to develop predictive models driving emission reduction strategies, and sustainability initiatives, and empowering stakeholders with actionable insights. Impactful contributions.
• Employed machine learning techniques(regression modelling, classification) to analyze complex emissions and finance data, enabling real-time monitoring and reporting. Contributions significantly shaped emission.
• Developed interactive visualizations in PowerBI and Tableau to communicate complex data insights to stakeholders, facilitating data-driven decision-making and strategic planning.
• Worked closely with domain experts to ensure data accuracy, quality, and compliance with regulatory requirements.

• Led the development of real-time applications for asset monitoring of oil pipelines, transforming the data mining processes and reducing total reporting time from 4 weeks to 3 minutes.
• Developed scalable data pipelines to efficiently process, transform and load large volumes of sensor data to calculate and optimize the flow of liquids in collaboration with field engineers, system architects.
• Facilitated decreased operating expenses through optimisation of reporting and insight generation strategies leading to savings of $100M annually.
• Coached team members, providing mentoring to junior software engineers and data analysts on data mining and visualization techniques.

- Developed artificial intelligence solutions for smart cities, leveraging machine learning for image processing improving the accuracy of real-time object detection to 95%. - Applied advanced analytical methods (time-series forecasting and natural language processing) to assess factors impacting growth and profitability across product and service offerings.

• Developed database architectural strategies at the modelling, design and implementation stages to address business requirements.
• Designed and developed software systems, using machine intelligence and mathematical models to predict, analyze and automate data handling processes resulting in 100% increase in usability for non-technical staff.

• Established and operated as Chief Technology Advisor of Simpliwave, a student-run consultancy while developing and implementing a strategic technological blueprint.
• Championed technology-driven innovation by guiding the selection and implementation of cutting-edge tools and platforms, such as AWS, Python, and NodeJS, to create a robust and efficient technology stack
• Implemented a data-driven approach to decision-making, harnessing insights and analytics to inform strategic choices, enhance product development, and improve overall project outcomes.
• Secured seed funding by successful pitching and negotiations with the Warwick Enterprise at the University of Warwick, UK.

• Analyzed architectural improvements, design solutions and integration solutions with respect to the Indian Railways Unreserved Ticketing System.
• Developed data architecture design to enable analysts to perform targeted customer analysis
• Developed load-balancing processes to eliminate downtime for ticketing and scheduling purposes.

Kolkata Area, India

• Partnered with a company mentor to learn best practices in software development.
• Modified existing company applications to serve corporate goals.
• Created interactive websites and asynchronous systems using HTML/CSS, PHP, MySQL and Python frameworks.

Masters, Business Intelligence And Data Analytics

Relevant Coursework: Advanced Business Analytics, Unstructured Data Analytics, Statistics for IT Managers, Data Science for Product.

Bachelor’S Degree, Computer Science And Engineering, 3.95/4.0

Education record

Activities and Societies: Director of Science Club, Member of the Debating Society, Executive Quiz Club, Interact Club and the MUN society.