RUBIA QAMAR

1) Led the company's rapid growth from a startup to a leading AI consultancy, achieving.

2) Built and scaled a high-performing team of AI experts and business development professionals.

3) Established strategic partnerships with industry leaders to drive innovation and market penetration.

Leading the Tech team and acting as liaison between business, sales, and IT teams to refine the product and incorporate features based on market demands.

1) Implemented a fraud detection system using machine learning that decreased fraudulent transactions by 22% within the first six months.

2) Conducted extensive A/B testing to optimise website conversion rates, contributing to a significant uplift of 12% in e-commerce sales.

3) Orchestrated data-driven optimisation of… Show more

Leading the Tech team and acting as liaison between business, sales, and IT teams to refine the product and incorporate features based on market demands.

1) Implemented a fraud detection system using machine learning that decreased fraudulent transactions by 22% within the first six months.

2) Conducted extensive A/B testing to optimise website conversion rates, contributing to a significant uplift of 12% in e-commerce sales.

3) Orchestrated data-driven optimisation of supply chain logistics, enhancing delivery times by 25% and customer satisfaction by 10%.

Achievement :

Leveraged machine learning to optimise logistics routes, resulting in a 10% reduction in fuel costs and a 5% cut in delivery times. Show less

Developed and implemented predictive models using Python and machine learning algorithms to increase customer churn prediction accuracy by 20%.

1) Led the machine learning initiatives that increased user engagement by 25% through the development of a personalised content recommendation engine.

2) Automated data cleaning processes, which reduced the data preparation time by 40%, allowing more rapid insights generation for stakeholder decision-making.

3) Designed and deployed… Show more

Developed and implemented predictive models using Python and machine learning algorithms to increase customer churn prediction accuracy by 20%.

1) Led the machine learning initiatives that increased user engagement by 25% through the development of a personalised content recommendation engine.

2) Automated data cleaning processes, which reduced the data preparation time by 40%, allowing more rapid insights generation for stakeholder decision-making.

3) Designed and deployed an NLP algorithm to analyse customer feedback, achieving a 30% improvement in customer satisfaction scores.

4) Spearheaded the data analysis for a market segmentation project, resulting in a targeted marketing strategy that boosted sales by 18% in the first quarter.

Achievement:

Initiated and led a cross-departmental team to integrate AI-driven forecasting tools into the inventory management system, ultimately reducing stock-outs by 20%. Show less

Performed detailed Business Analysis of the client’s and company’s operations to maximize revenues and business performance. Led the team of analysts and operations coordinator to ensure the operations are done smoothly.

1) Derive Project discovery through interviewing of key stakeholders to flush out business rules, operational specifications, and interface specification solutions to resolve identified business issues and/or strategic initiatives.

2) Conduct rigorous experiments… Show more

Performed detailed Business Analysis of the client’s and company’s operations to maximize revenues and business performance. Led the team of analysts and operations coordinator to ensure the operations are done smoothly.

1) Derive Project discovery through interviewing of key stakeholders to flush out business rules, operational specifications, and interface specification solutions to resolve identified business issues and/or strategic initiatives.

2) Conduct rigorous experiments on the effectiveness of marketing actions by deriving actionable insights and concise recommendations. This resulted in a 70-80% long term business strategy.

3) Recurrently improving reporting and analysis processes by conducting advanced statistical tools such as Predictive analysis. Streamlining self-service support for secondary databases and data warehouses by updating existing metrics as well as create new metrics.

4) Using machine learning Software’s for data manipulation, data visualization.

5) Effectively manage risk and assess opportunities for continuous improvement. Plan and drive changes to better the performance of operations.

6) Management of 3rd party merchandising suppliers through KPI management, compliance improvements, and regular face to face meetings. Show less

Internship in production engineering department:
As an intern my responsibilities included to learn about production and drilling operations, preparing presentations on reports, visiting site and learning about production equipment, analysing reservoir data.