Muhammad Daniyal

• Led an Automation Project to Optimize the Sales Pipeline within a prominent online platform, leveraging advanced GPT-4

language models in a multi-threaded Python pipeline. Developing custom scraping bots for efficient data retrieval, employing NLP techniques to enhance relevance assessment, and generating advanced outputs. Demonstrating expertise in automation strategies and cutting-edge language models, ensuring seamless communication through the concise and effective use of GPT-4, and driving transformative improvements in process optimization.

• Developed a highly Advanced Chatbot utilizing LangChain Agents and the powerful OpenAI GPT-4 LLM model. This advanced system provides users with authenticated, accurate, and real-time information across various queries. The chatbot employs LangChain agents with access to Document Search, Web Content Search, APIs, RSS Feeds, SQL database, and many other tools, ensuring comprehensive responses. With user-specific identifiers, the application scales seamlessly for personalized interactions. Users can also leverage streaming functionality for direct real-time answers from OpenAI GPT-4. The system is built with Flask and deployed in a CentOS environment using Cpanel. Data integrity is maintained

through secure storage of question-answer records and cron job status in a robust SQL database.

• Utilized open-sourced models and OpenAI GPT-3.5 and GPT-4 for various NLP projects, such as developing an Emotion Classifier, Extracting Feature Aspects and Sentiments, implementing NER, creating a SmartChatbot, and building a Youtube Video Summarizer. Demonstrated expertise in applying advanced techniques to deliver efficient and accurate solutions, highlighting a comprehensive understanding of NLP methodologies and state-of-the-art language models.

• Developed an Android Application for the Excise Taxation and Narcotics Control Department that uses python object detection and OCR for license plate detection and verification of tax payment. Features include E-payment and Manual

payment options, tracking of excise officer location, and storing all data and images in a database. The application streamlines the process of vehicle tax verification and payment for excise officers.

• Developed a Media Monitoring System using python scripts for Speech-to-Text and OCR. The system inputs a news channel's live stream URL, converts speech to text and stores in MongoDB, and extracts text from ticker and stores in the database. The application allows for efficient monitoring and analysis of news media content.

• Developed a Flask script for an Online Voting Application that uses OCR with OpenCV and Google Cloud Vision API to extract and store voter information in a structured format in a database. The system allows for easy retrieval and verification of voter information from scanned images of voter lists. The application streamlines the voting process by digitizing voter registration and verification.

• Developed a Facial Recognition Application for an attendance system that identifies faces, records attendance, and stores the data in a database. The front-end interface displays employee details, photos, and real-time attendance status.

• Developed an android application that allows for continuous image, audio, and video recording and background uploading to an FTP server. Features include ability to continue recording and uploading even if the application is closed or removed from the device tray. The application provides a convenient way to continuously record and upload multimedia files.

• Served as a Data Science Trainer, instructing students on a wide range of topics, including Python programming, Data

Preprocessing and Cleaning, Data Visualization, Web Scraping, SQL, Statistics, Probability, Machine Learning, and Deep Learning. Provided in-depth training on libraries such as Pandas, Numpy, Matplotlib, Seaborn, TensorFlow, OpenCV, PyTorch, Selenium, BeautifulSoup, SQL, and Scikit-learn

• Delivered Hands-on Sessions using real-world datasets, enabling students to apply theoretical knowledge to practical projects and develop strong data science skills for data-driven solutions.