Iman Badrooh Email & Phone Number

Shiraz, Fars Province, Iran

• Implemented Convolutional Neural Networks (CNNs) to detect three distinct geological layers from a-scan datasets obtained from various mines, achieving impressive results with 98% accuracy, 95% precision, and 93%.
• Integrated multiple datasets into a unified dataset to ensure data consistency and coherence for downstream processing.
• Led the development of a Bi-directional LSTM model for a smart brick company aimed at improving power and operational efficiency.
• Utilized various features such as external temperature, wind speed, and internal and external humidity to predict internal temperature and humidity. Achieved an impressive accuracy rate of 95%.
• Constructed a sentiment analysis model leveraging roBERTa to assess sentiments conveyed in accumulated tourist feedback for improved insights. This effort yielded a significant 15% rise in customer satisfaction levels.
• Engineered a cutting-edge solution using prompt engineering and Large Language Model (LLM) to precisely extract detailed information of professors from web pages, optimizing data collection process and increasing data.

Tehran, Tehran Province, Iran

• Developed machine-learning pipelines to analyze data extracted from an MS SQL Server database using SQL Server Integration Services (SSIS), resulting in a 15% reduction in overstocking, a 10% increase in sales, and a.
• Successfully identified customers at risk of churning using various classification algorithms, including logistic regression, decision trees (DT), Random Forest, XGBoost, and Neural Networks, resulting in a 12%.
• Utilized unsupervised machine learning algorithms to segment customers and design targeted marketing campaigns, resulting in 8% increase in the relevance of marketing strategies based on customer demographics and.
• Played a pivotal role in developing sales prediction models that reduced overstocking by 15%, increased sales by 10%, and improved customer satisfaction, leading to a significant cost savings of 15% and a revenue boost.

Shiraz, Fars Province, Iran

• Leveraged SQL queries and Microsoft SQL Server to extract insights from complex datasets, contributing to a remarkable 15% improvement in operational efficiency.
• Actively collaborated with stakeholders, providing valuable input on data strategy and architecture, resulting in the successful implementation of data solutions that met 100% of expectations.
• Developed client dashboards using Power BI, streamlining data accessibility and understanding and leading to a significant 25% reduction in reporting time.

Master'S Degree, Computer Software Engineering, 3.69

Activities and Societies: My thesis was presenting a new method in ontology mapping. During this time, I cooperated with different.

Education record