Iqra Rizwan

• Performed exploratory data analysis (EDA) using Python libraries such as Pandas, NumPy, and Matplotlib to uncover insights and trends
• Utilized Microsoft Azure for cloud-based ML solutions, leveraging its distributed computing and scalable data processing capabilities
• Familiar with Azure ML Studio and Azure Databricks.
• Applied NLP techniques using libraries like NLTK and SpaCy for text analysis.
• Created interactive dashboards and visualizations using tools like Tableau, Power BI, and Plotly to communicate findings to stakeholders effectively.
• Personalized content delivery, utilizing collaborative filtering techniques and Apache Spark for scalable data processing
• Developed, implemented, and evaluated statistical models and machine learning algorithms using tools like Scikit-learn, TensorFlow, and PyTorch to solve complex business problems.
• Prepared data for modelling and monitoring, upholding integrity.
• Played akey role in aligning modeling efforts with organizational goals for team success.

• Implemented automation framework using Selenium and harnessed the power of Java and C# to migrate manual test cases, achieving a significant 40% increase in testing efficiency and reducing regression testing time by 60%
• Executed test plans and cases to identify software bugs
• Worked on Selenium containers and dockers (Jenkins and Docker Desktop) to streamline the deployment process, resulting in an 18% reduction in deployment time.

• Developed 3 web applications on Asp.Net (tool: c#) for the company internal use resulting in a 70% improvement in company performance
• Handled special projects designated by senior developer
• Delivered front- and back-end development across mobile and web applications.

Dissertation in Machine learning : Touch-less user Interface using hand gestures (AI, ML, Mediapipe)

Final Year Project: Online nursery app (Flutter).