Zain Hassan Email & Phone Number

Lahore, Pk

Pakistan

Project Details:1: AI Book Writer APP: AI Book Writer is an AI‑based automated book generation tool. It can generate a complete book on a given topic within seconds. Simply provide the book title, number of chapters, and the desired word count, and it will effortlessly produce more than 100,000 words in minutes. Whether you need a story‑based book, a magazine, or technical writing, AI Book Writer has you covered.

Pakistan

Projects Detail2:1: Ride-Hailing Dynamic Zones and Surge Prediction using Kafka: Spearheaded a project for a ride-hailing company, developing dynamic zones and predictive surge analysis. Deployed solutions in live environments and managed streaming traffic with Apache Kafka. Leveraged Apache Spark to engineer Python scripts for data preprocessing and crafted machine learning models to forecast surge patterns. Stored predictions and zone data in PostgreSQL databases on Rocky Linux servers. Engineered APIs using FastAPI to facilitate dashboard functionality, complemented by creating live dashboards using Flask.2: Comments Sentiment Analysis in 6 Languages: Built sentiment analysis models for six languages ("English", "French", "German", "Czech", "Spanish", "Slovak"). Designed a complete pipeline to detect sentiments like "Positive", "Negative", "Neutral", and "Abusive". Implemented a stream process to automatically detect new comments, make predictions, and save results in a PostgreSQL database.

Pakistan

As a Data Scientist at LogicFinder, I specialize in utilizing advanced data science techniques and machine learning algorithms to enhance cybersecurity measures. My primary focus is on detecting and preventing various cyber attacks to safeguard our clients' data and infrastructure.Key Responsibilities and Achievements:1: Cyber Attack Detection: Developed and deployed machine learning models to identify and mitigate different types of cyber threats, including phishing attacks, DDoS attacks, and ransomware.2: Advanced Data Analysis: Conducted comprehensive data analysis to uncover hidden patterns and anomalies in large datasets, which are indicative of potential security breaches.3: Algorithm Development: Created and fine-tuned algorithms for real-time threat detection, improving the accuracy and response time of our cybersecurity systems.4: Collaborative Projects: Worked closely with cybersecurity analysts, network engineers, and software developers to integrate data-driven solutions into existing security frameworks.5: Reporting and Documentation: Maintained detailed documentation of methodologies, processes, and findings. Regularly presented analytical insights and reports to stakeholders, aiding in strategic decision-making.

Pakistan

During my internship at LogicFinder, I had the opportunity to work extensively in the fields of data science and machine learning, focusing on cybersecurity. I was responsible for developing and implementing advanced machine learning models aimed at detecting various cyber attacks.Key Responsibilities and Achievements:1: Developed Machine Learning Models: Built numerous models for cybersecurity applications, including anomaly detection, intrusion detection, and malware classification.2: Conducted Data Science Projects: Performed data analysis and preprocessing to transform raw data into actionable insights. Applied statistical methods and machine learning techniques to identify patterns and trends in large datasets.3: Focused on Cyber Attack Detection: Created models to accurately identify and classify different cyber threats using both supervised and unsupervised learning approaches.