Hey there! I'm Hussain Murtaza Ali, a passionate young Data Scientist based in Karachi, Pakistan. I thrive on using data to craft compelling stories and create content that deeply resonates with audiences. With a rigorous academic background and hands-on experience, I aim to bridge the gap between data and actionable insights.
- Data Analysis: Proficient with Excel and Python.
- Data Visualization: Experienced with Power BI, Excel, and Python libraries.
- Data Cleaning & Pre-processing: Skilled in preparing data for analysis.
- Machine Learning/EDA: Utilizing Python Libraries like SKLearn, Pandas, and NumPy.
- Deep Learning: Using Python libraries such as Keras, TensorFlow, and PyTorch.
- Database Management: Proficient in SQL for complex queries.
- Statistical Analysis: Capable of performing advanced statistical tests and models.
- Artificial Intelligence: Knowledge in building AI-driven solutions.
- Natural Language Processing (NLP), Computer Vision (CV), Large Language Models (LLM): Developing applications in NLP, CV, and LLM.
- Productivity Software: Highly proficient in the MS Office Suite.
Developed a RESTful API using FastAPI to perform text classification tasks like sentiment analysis and emotion classification. The API uses a pre-trained Hugging Face Transformer model, specifically the distilbert-base-multilingual-cased-sentiments-student model, which is containerized using Docker for easy deployment and scalability.
Analyzed public sentiment and topics concerning COVID-19 on Twitter to understand public reactions during the pandemic. Used Python with libraries like pandas, numpy, nltk, and gensim for data manipulation and NLP tasks. Sentiment analysis was performed using TextBlob, and topic modeling was conducted using Latent Dirichlet Allocation (LDA) with gensim.
Demonstrated object detection on images and videos using YOLOv8 with the Ultralytics implementation, detecting objects such as cars, trucks, and traffic lights. Utilized PyTorch and OpenCV for video processing and Matplotlib for visualization of detection results.
Developed a deep learning model to detect potholes in urban road images using YOLOv8 architecture. This real-time detection system was trained on a custom dataset, leveraging PyTorch and OpenCV for image processing and achieving high accuracy and inference speed suitable for real-time applications.
Conducted a comprehensive analysis of customer behavior and loyalty program performance for FlyingWhale Airline. Utilized Power BI, Power Query, and DAX for data analysis and visualization, focusing on segmentation analysis, trend analysis, and descriptive statistics to derive actionable insights.
- Bachelor’s in Computer Science | Iqra University 2023 - Present
- Data Science & AI Bootcamp | Atomcamp 2023 - Present
- LinkedIn: Hussain Murtaza Ali
- Email: [email protected]
Feel free to connect with me for collaborations, or project discussions, or if you just want to chat about the latest in data science and AI!