Resume

• Analyzed and explored data to extract strategic insights.
• Optimized data quality and proposed concrete improvement initiatives.
• Cleaned data to ensure accuracy, consistency, and relevance.
• Designed and managed efficient and reliable ETL processes.
• Integrated data into a centralized data warehouse for optimal management.
• Developed data models in Power BI for detailed and accurate analysis.
• Created advanced formulas and measures (DAX) to address complex requirements.
• Produced interactive reports and dynamic visualizations for stakeholders.

As part of a comprehensive recruitment optimization project, I developed an intelligent chatbot capable of automating candidate selection based on job descriptions. The project included setting up the dataset, fine-tuning a language model, and integrating it into a chatbot system. Below are the key steps of the project:

• Set up the dataset by implementing a web scraping system to extract job positions and candidate profiles from LinkedIn. Additional data sources included resumes and the Kaggle dataset.
• Prepared and cleaned the collected data to ensure it was structured and usable for model training.
• Stored the data in a secure NoSQL database to enable efficient access and management.
• Fine-tuned a pre-trained BERT language model on the prepared dataset to achieve robust performance on recruitment-related tasks.
• Developed a chatbot that utilized the fine-tuned model and database to automatically select the most suitable candidate profiles for specific job positions.
• Enhanced recruitment processes in the HR department by automating candidate matching, increasing efficiency, and reducing manual workload.

• Designed and developed customized SQL views and reports for payment calculations, including allowances and various factors.
• Implemented tailored solutions for attendance and payment calculations based on complex variables such as working hours, bonuses, and absences.

This program was a significant step in my education and career, where I gained in-depth knowledge in artificial intelligence, machine learning, deep learning, and advanced mathematics. Additionally, I explored big data technologies and advanced concepts related to data processing and analysis, preparing me for complex data-driven challenges in the industry.

This program provided a strong foundation in advanced mathematics, including algebra, analysis, statistics, and probability. It also included topics in physics, such as mechanics and quantum principles. Alongside theoretical knowledge, I delved into software engineering, developing skills in algorithm design, programming, and system development.

Languages:

Web Development:

Data Visualization:

ML & DL:

Databases:

Big Data:

Others: