Hi There,
I'm Azam Khan
i am into
About Me
I am a results-driven Machine Learning and Data Science enthusiast with a solid foundation in data manipulation, visualization, and predictive analytics. Skilled in Python, Scikit-learn, TensorFlow, Power BI, and Tableau, I have hands-on experience developing ML models with up to 93% accuracy, creating interactive dashboards, and performing deep-dive analyses on large datasets. I excel at transforming complex data into clear, actionable insights that drive smarter business decisions.
Email : azamkp05@gmail.com
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.
Shri Guru Sandipani Institute of Technology and Science | Ujjain
Mastered advanced topics in Machine Learning, IoT, and Data Analytics, building a strong foundation for innovative solutions.
ROBOTRONIX ENGINEERING TECH PVT LTD | Aug 2024- Oct 2024
As a Machine Learning Engineer Intern, I developed and deployed machine learning models to solve real-world problems, enhancing my skills in data preprocessing, model training, and evaluation. I collaborated with cross-functional teams to integrate machine learning solutions into existing systems, ensuring scalability and performance.
During my internship, I significantly boosted the accuracy of a predictive model by 15% through advanced feature engineering techniques and meticulous hyperparameter tuning. This improvement led to more impactful business insights and data-driven strategies. I developed predictive analytics solutions using models such as Decision Trees, Random Forests, and Support Vector Machines (SVM), which played a key role in enhancing operational decision-making. Additionally, I conducted exploratory data analysis (EDA) on a dataset of over 50,000 records, uncovering critical customer behavior trends that informed and optimized marketing strategies. To support data accuracy and integrity, I also crafted efficient SQL queries for data extraction and validation, ensuring the analysis was built on clean, reliable datasets.
Place : Indore, India - 452001
Built a Flask-based ML web app predicting five major diseases with 93% accuracy using SVM and KNN.
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Built a regression model using Scikit-learn to estimate housing prices by analyzing features like location, area, and amenities.
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Built a churn prediction model using deep learning, achieving 90% accuracy, and enabled real-time predictions through input-based processing.
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The project aims to develop a foundational understanding of risk analytics in the banking and financial services industry.
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Analyzed 100k+ ride records to optimize pricing and demand forecasting, building a dynamic Power BI KPI dashboard.
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Developed a Power BI dashboard for 10k+ transactions, enhancing fraud detection and financial reporting.
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Created an interactive Power BI dashboard to track employee attrition, enabling proactive HR strategies.
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The goal of this project is to provide HR professionals with actionable insights into the workforce.
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Designed a responsive front-end interface with Bootstrap for efficient restaurant operations.
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