• Cross-functional collaboration: Worked closely with cross-functional teams to understand business requirements and develop data- driven solutions.• Cost Reduction: Implemented machine learning algorithms for predictive modeling, reducing customers' cloud server costs.• Data Analysis: Conducted exploratory data analysis to identify trends and patterns, inform business strategies, and enhance decision-making.•Stakeholder Communication: Translated complex technical findings into actionable insights for non-technical stakeholders through data visualization and clear presentations.•Data Management: Collected, cleaned, and analyzed large datasets, generating actionable insights that drove business growth.•KPI Development: Collaborated with business analysts to define key performance indicators (KPIs) and developed dashboards for ongoing monitoring.•Project Leadership: Led the end-to-end design and development of a computer vision algorithm for visual verification. o Responsibilities: Full ownership of all development cycles, including designing and implementing algorithmic solutions from scratch, integration, debugging, optimization, and delivery of the final product. o Algorithm Development: Innovative Data Generation: Built an algorithm that transforms a limited number of customer-provided images into a large, robust dataset. Techniques Used: Employed data augmentation and synthetic data generation methods to expand the dataset, ensuring diversity and robustness.  Custom Deep Learning Model: Trained deep learning models using the generated dataset to accurately recognize and classify customer-specific objects. High Accuracy Achieved: Attained 98% accuracy in detecting and classifying custom objects.o Technologies Used: Python, R, Pandas, NumPy, OpenCV, TensorFlow, PyTorch, SQL, Git, AWS, Docker.o Outcome: The product was successfully integrated into the company's AI solutions portfolio, enhancing visual verification and testing capabilities.

contributing to a worldwide project in the Wireless Mobile industry, specifically 5GNR.Branch Regression Team (Aug 2018 – Jul 2019):• Conducted hardware and software testing using laboratory equipment on prototype components.• Executed automated and manual testing on new feature versions and resolved version breakages.• Developed and maintained automatic scripts using Python, and independently learned communication standards.• Utilized multiple systems including Perforce, Jira, and Qualcomm Unique systems.Mainline Regression Team (Jul 2019 – Oct 2019):• Performed comprehensive tests on the system mainline and provided detailed reports to branch managers and team leaders.• Managed time effectively with limited prototype products for necessary tests and conducted in-depth investigations.• Monitored and alerted relevant factors worldwide regarding existing issues.Personal Attributes:• Demonstrated teamwork, ability to work under pressure, and high personal accountability.• Proficient problem-solving skills and creative thinking to provide effective solutions.• Engaged with the latest available technologies in the field.

o Test and Deploy latest versions, o Monitoring Company and Costumer Servers,o Working with company Engineers on Linux environment.