Zahra Vahidi Ferdousi

– Took a planned parental career break to focus on my child's early years while remaining engaged in AI and data science. – Completed the IBM Data Science Professional Certificate, enhancing skills in Python, data analysis, and machine learning. – Participated in the Kaggle Agents Intensive Competition, applying agent-based and machine learning techniques. – Built an AI Job Agent using Claude AI, Python and n8n that automated job discovery and analysis, achieving 95% time reduction.

– Developed and optimized advanced SQL queries to extract, transform, and analyze datasets. – Conducted exploratory data analysis (EDA) using Python libraries such as Pandas and NumPy. – Developed impactful data visualizations with Matplotlib and Seaborn to effectively communicate insights. – Leveraged Scikit-learn for statistical modeling and predictive analysis, enhancing decision-making for stakeholders.

– Engineered a Java-based synthetic data generation pipeline for training Computer Vision models. – Focused on improving object segmentation accuracy using 2D CAD drawings. – Collaborated with cross-functional teams to enhance model performance. – Developed skills in Java programming, data generation, and computer vision technologies.

– Transformed a traditional recommender system into a context-aware recommendation system using Java. – Modeled and integrated user context into the recommendation process to enhance personalization.

– Upgraded the SPAD Data Mining software text-mining package by integrating the Lucene API. – Enhanced the system's capability to process and analyze unstructured text data. – Collaborated with a team to improve data mining functionalities, ensuring better performance. – Gained hands-on experience in text mining and software integration within a dynamic startup environment.

– Conducted personalized recommendations for Twitter users based on tweet content analysis. – Extracted tweets using the Twitter API to gather relevant data for analysis. – Analyzed automatic classification techniques utilizing WEKA and MALLET for effective content categorization. – Collaborated with a team at Cnam, a leading institution in arts and crafts, to enhance social media insights.

– Designed and implemented an online restaurant reservation system for efficient table booking. – Developed features enabling administrators to manage restaurant data effectively. – Collaborated with cross-functional teams to enhance user experience and streamline operations.