Muhammad Uzair Khan

Adept Web Developer with a proven track record at YaziSoft Software Solutions, where I leveraged Django and Python to create innovative web solutions, enhancing client satisfaction and operational efficiency. My collaborative approach and expertise in data analysis and UI/UX design principles have driven successful project outcomes and optimized user experiences.

Udemy Courses

Python

Data Science (Regression, Classification & Clustering)

Youtube

Django by Geeky Shows

Django Channels

Django Rest APIs

Languages: Python, Java, C, Javascript, HTML+CSS, Bootsrap

Libraries: Pandas, Matplotlib, Keras, Pytorch and other Python libraries

Dev Tools: Jupiter Notebook, VScode, Collab, Git, Github

Web Frameworks: HTML, CSS, Django, Django Rest  API's

Cloud/Databases: SQL, Firebase

Relevent Coursework: Data Structures & Algorithms, Object Oriented Programming, Scripting, Database

Management System

Areas of Interest: Machine Leaning,Deep Learning, Computer Vision, Natural Language Processing, AI

Soft Skills: Problem Solving, Self-learning, Presentation, Adaptability

Predictive Modeling with Machine Learning

• Developed a predictive model using machine learning algorithms (e.g., Random Forest, Gradient Boosting) to forecast sales for a retail company.
• Tools/Languages Used: Python (scikit-learn, pandas), Jupyter Notebook.

Time Series Analysis for Financial Forecasting

• Conducted time series analysis on financial data to predict stock prices.
• Used techniques such as moving averages, ARIMA, and LSTM neural networks. Evaluated model performance and implemented feature engineering for better predictions.
• Tools/Languages Used: Python (pandas, NumPy, TensorFlow), Jupyter Notebooks.

Emotion Based Musical Player

• Implemented a CNN to classify images in a dataset (e.g., CIFAR-10).
• Detect facial emotions
• Propose suggested songs on the basis of emotions (Mobile App)