Ali A.

I'm Ali Amjad, a seasoned Python Programming specialist with over 2 years of comprehensive experience in the data science domain. My expertise spans a wide range of areas within data science, including Python scripts, machine learning, data analysis, data mining, and data visualization, as well as deep learning. I've honed my skills through practical experience in various projects, employing advanced technologies and frameworks like TensorFlow, PyTorch, and the latest advancements in Large Language Models (LLMs) and Computer Vision. My project portfolio showcases my ability to tackle complex challenges: Projects I've Worked On: - Face Detection Using TensorFlow: Employed TensorFlow to build a robust face detection model, achieving high accuracy in real-world scenarios. - Blur Detection Using EfficentNet: Fine-Tune EfficentNetB5 with my custom data to detect motion-blurred, defocused and sharp images. - Inappropriate Content Detection: Train Yolov8 which will detect inappropriate gestures like middle finger etc. - Converting 2d Image into 3d: Build a tool which will convert image from 2d to 3d by using Pix2Vox. - Image Similarity: Used ResNet101 to get the embeddings and measure the similarity of Images using pytorch. - Tilt Detection: Use OpenCV to detect the tilt detection of objects from an image by getting edges. - Storm Analysis: Analyzed meteorological data to predict storm patterns, enhancing preparedness and response. - House Price Prediction: Implemented machine learning models to forecast real estate prices with significant precision. - Stock Price Prediction & Churn Rate Prediction: Utilized time series analysis and customer data to predict stock market trends and customer churn rates. - Sales & Tweets Sentiment Analysis: Applied natural language processing techniques to predict sales trends and analyze sentiment in tweets. - Used Cars Price Prediction: Developed a predictive model for determining the value of used cars based on multiple features. - Object Detection Using YOLOv8 & AWS Deployment: Created a cutting-edge object detection system with YOLOv8, deployed on an AWS server with a custom API for real-time analysis. - Chatbot for Website Based on LLM: Developed an interactive chatbot using Large Language Models to provide instant, accurate responses on a client's website, enhancing user engagement. IDEs I Use: - PyCharm - Jupyter Notebook - Google Colab Cloud Platform Experience: I have substantial experience with AWS Cloud, utilizing services like EC2 for deploying machine learning models and S3 buckets for data storage. My proficiency with Boto3 has enabled seamless integration and automation within AWS environments. Services I Offer: - Machine Learning & Deep Learning: From conceptualization to deployment, employing frameworks like TensorFlow and PyTorch. - Data Preprocessing, Analysis, and Visualization: Transforming raw data into insightful, actionable information. - Text Preprocessing & Sentiment Analysis: Leveraging NLP techniques to derive meaning and sentiment from textual data. - Feature Engineering & API Integration: Enhancing model performance and integrating models with APIs for practical applications. With a track record of successful projects and a deep understanding of both the technical and practical aspects of data science and AI, I am committed to delivering high-quality solutions that meet your specific needs and objectives.