I am a data scientist. My expertise includes data wrangling, exploratory data analysis, predictive modeling, and data visualization. I have experience working with various tools and technologies, including Python, R, SQL, and machine learning frameworks such as TensorFlow and scikit-learn. Skills
Programming Languages: Python, R, SQL
Data Analysis: Pandas, NumPy, SciPy
Machine Learning: scikit-learn, TensorFlow, Keras
Data Visualization: Matplotlib, Seaborn, Plotly
Databases: PostgreSQL
Tools: Jupyter Notebook, Git, Docker
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Predicting House Prices
Description: Developed a predictive model to estimate house prices based on various features using linear regression and gradient boosting. Technologies: Python, scikit-learn, pandas, matplotlib Repository: House Price Prediction
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Customer Segmentation
Description: Applied clustering algorithms to segment customers based on purchasing behavior for targeted marketing campaigns. Technologies: Python, scikit-learn, pandas, seaborn Repository: Customer Segmentation
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Sentiment Analysis of Social Media Posts
Description: Built a sentiment analysis model to classify social media posts as positive, negative, or neutral using natural language processing techniques. Technologies: Python, NLTK, TensorFlow, Keras Repository: Sentiment Analysis
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COVID-19 Data Visualization
Description: Created interactive visualizations to track the spread of COVID-19 and analyze its impact using public datasets. Technologies: Python, Plotly, Dash Repository: COVID-19 Visualization
Feel free to reach out if you have any questions, collaboration ideas, or just want to connect!
Email: [abdumajidgithub@gmail.com]
Telegram: [@abdumajidnabiev]
Whatsapp: [+998902184486]