Amir Zabba Email & Phone Number

Sydney, New South Wales, Australia

Tehran, Tehran Province, Iran

• Develop a comment checker model that uses NLP and Text Processing to check recorded comments and identify customer sentiments by users in different parts of the site, which returns a JSON in the form of an API. This.
• Implement a multipurpose recommender system using a two-tower neural network, which is currently undergoing testing. This system is expected to increase the conversion rate and customer satisfaction by 18%.
• Collaborate cross-functionally with data analytics, finance, and business intelligence departments to analyze complex financial data sets and improve forecasting methodologies for client businesses.
• Functional proficiency in SQL, NoSQL, and relational database design and development.

Tehran, Tehran, Iran

• Managing the business intelligence unit and preparing dashboards and reports for various commercial departments, including sales, finance, warehouse, and HR, etc. helped to reduce the cost of using a third-party.
• Designed a data warehouse from various data sources of the organization including MSSQL, MySQL, Excel, and Pickle, and integrated data using T-SQL and Python.
• Created a real-time performance dashboard for sales reps using Python and Microsoft Power BI. This dashboard reduced 26 person-hours of daily work in the company and increased sales representatives' target achievement.
• Collaboration in designing and building a model for predicting customer churn based on Gradient boosting models, as well as customer clustering using clustering algorithms and building a customer churn dashboard and.
• Utilize machine learning techniques to enhance financial reporting and data visualization

Tehran, Iran

• Worked as a data analyst at an e-commerce site selling cosmetics and herbal medicines with about 100,000 registered customers.
• Used SSIS, SSAS, TSQL, and Python to integrate data from the company's main OLTP (NopCommerce) and flat files of different fields and built a DataWarehouse, which improved the data quality and reliability by 20%.
• created various dashboards for finance, sales, and marketing with PowerBI, which reduced about 10 person-hours weekly from the work of the marketing departments and increased the daily sales of the site by about 6%.
• Compiled customer data into reports on behavior, trends, market conditions, and engagement levels.
• Built a web crawler system to extract product details and last prices and reduce 2 person-hours of daily work in pricing and updating product prices.

Tehran, Tehran, Iran

• Developed an innovative autonomous driving system utilizing a deep network architecture.
• Conducted comprehensive evaluation of various parameters to compare the performance of Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) models.
• Demonstrated that RNN achieved superior accuracy (81%) in comparison to CNN (70%) for the specific problem scenario, considering the time-dependent nature of the problem.
• Proposed modifications based on the evaluation results, recommending the use of RNN for improved precision in robot motion within the context of autonomous driving.

Master Of Computer Applications - Mca, Artificial Intelligence And Robotics

Activities and Societies: Machine learning Development

Bachelor Of Engineering - Be, Computer Hardware Engineering, 3.34 / 4

Activities and Societies: Programming (Python, VHDL, SQL), implementation AI Algorithms, FootballThesis: A proposed method for the.