Hi There,
I'm Azam Khan
i am into
About Me
I specialize in turning complex data into actionable insights through Machine Learning, NLP, and Deep Learning (CNN, RNN). Skilled in Python, Scikit-learn, TensorFlow, Power BI, and Tableau, I’ve built ML models with up to 93% accuracy, designed interactive dashboards, and uncovered trends in large datasets. My passion lies in bridging data and decision-making through predictive analytics and visualization.
Python
TensorFlow
Scikit-Learn
Pandas
NumPy
Flask
MySQL
PostgreSQL
SQL
MS Excel
Google Sheets
Power BI
Tableau
Matplotlib
Seaborn
SQL Server
Git
GitHub
Jupyter Notebook
VS Code
Google Colab
HTML
CSS
JavaScript
Bootstrap
C++
C
Education’s purpose is to replace an empty mind with an open one.
Mastered advanced topics in Machine Learning, IoT, and Data Analytics, building a strong foundation for innovative solutions.
RNN-based TensorFlow model for positive/negative movie review classification using NLP.
Multinomial Naive Bayes web app for real-time text language detection across multiple languages.
Flask ML app predicting five diseases at 93% accuracy with SVM and KNN.
Scikit-learn regression model for housing price prediction from location, area, and amenities.
Deep learning model with 90% accuracy for real-time customer churn prediction and retention.
The project aims to develop a foundational understanding of risk analytics in the banking and financial services industry.
Analyzed 100k+ ride records to optimize pricing and demand forecasting, building a dynamic Power BI KPI dashboard.
Developed a Power BI dashboard for 10k+ transactions, enhancing fraud detection and financial reporting.
Created an interactive Power BI dashboard to track employee attrition, enabling proactive HR strategies.
The goal of this project is to provide HR professionals with actionable insights into the workforce.
Designed a responsive front-end interface with Bootstrap for efficient restaurant operations.
Microsoft
Infosys Springboard
LinkedIn Learning
HackerRank