You will get Exploratory Data Analysis (EDA) in Python
Project details
I bring over 10 years of expertise in data science, machine learning, and statistical analysis. My projects stand out for their thorough data cleaning, insightful visualizations, and robust predictive models, ensuring actionable insights and high-quality results.
Machine Learning Tools
NumPy, Python, PyTorch, scikit-learnWhat's included
| Service Tiers |
Starter
$18
|
Standard
$30
|
Advanced
$60
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 2 | 3 | 4 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code |
About Habib
Data Scientist & Analyst | Python, R, and Machine Learning Specialist
Ilorin, Nigeria - 8:14 am local time
Welcome! I’m Habib Hamza, a seasoned mechanical engineer with a strong foundation in data science, statistical analysis, and machine learning. With over 20 years of experience, I have empowered numerous businesses by translating complex datasets into actionable insights and informed decision-making.
🌟 Professional Expertise 🌟
🌟 Data Analysis & Visualization: I excel at turning raw data into visually compelling stories. Using advanced visualization libraries such as Python’s Matplotlib and Seaborn, and R’s ggplot2, I create insightful visuals that reveal trends, outliers, and patterns critical for informed decision-making. My expertise extends to creating dynamic dashboards in MS Excel, allowing for interactive data exploration and immediate insight generation.
🌟 Data Cleaning & Wrangling: I expertly preprocess data using powerful Python libraries like Pandas and R's dplyr to ensure accuracy and completeness. My methods include handling missing values through sophisticated imputation techniques, ensuring data normalization and standardization, and utilizing regular expressions for meticulous text data cleaning. This thorough preparation guarantees that datasets are primed for analysis and modeling.
🌟 Exploratory Data Analysis (EDA): I employ both statistical summaries and advanced visualization techniques to uncover hidden patterns and insights within the data. I utilize hypothesis testing, correlation analysis, and advanced analytics methods such as principal component analysis (PCA) and factor analysis to provide a deep understanding of the data, which supports subsequent predictive modeling and strategic business decisions.
🌟 Machine Learning Models: I build a range of machine learning models from supervised techniques like linear and logistic regression, support vector machines, and ensemble methods (random forests and gradient boosting machines) to unsupervised methods including k-means clustering and hierarchical clustering. My expertise in neural networks using TensorFlow and Keras supports applications in deep learning such as natural language processing and image recognition.
🌟 Statistical Analysis: I am skilled in applying various statistical tests and techniques, including ANOVA, chi-square tests, t-tests, and regression analysis to validate hypotheses and extract insights. Using statistical software like STATA and SPSS, I conduct complex data analysis and inferential statistical modeling, ensuring that findings are robust, statistically significant, and actionable.
🌟 Advanced Data Technologies: Proficient in SQL for data querying and manipulation, with familiarity in big data technologies like Apache Hadoop and Spark for processing voluminous datasets. My skill set also includes utilizing cloud platforms such as AWS and Google Cloud for scalable data analysis.
🌟 Tools & Technologies 🌟
- Programming Languages: Proficient in Python and R.
- Software: MS Excel, STATA, SPSS.
- Libraries and Frameworks: Pandas, NumPy, Scikit-learn, TensorFlow, Keras, Matplotlib, Seaborn, Plotly, ggplot2, dplyr.
🌟 Proven Record of Strategic Impact 🌟
🏆 Notable Achievements:
- Enhanced Data Precision: Leveraged advanced analytics, including machine learning algorithms and statistical techniques, to refine data quality across industries.
- Decision Support: Utilized predictive modeling and sophisticated visualizations in Python and R, enhancing strategic business decisions.
- Operational Efficiency: Innovated robust data management systems that streamline operations and maximize data utility.
🌟 Versatile Industry Experience 🌟
My expertise spans across education, finance, healthcare, and retail sectors, enabling me to adapt and address unique data-related challenges effectively, providing tailored and impactful big data solutions.
🌟 Showcase of Signature Projects 🌟
- Retail Sales Forecasting: Developed a predictive model using Python & R Studio, integrating time series analysis and regression models to set new benchmarks in strategic planning.
- Healthcare Analytics: Leveraged machine learning models and statistical analysis in SPSS and Python to uncover pivotal trends that enhance service delivery and patient care.
- Data Visualization Mastery: Crafted impactful visual narratives for executive decision-making, utilizing advanced tools like R, Python, Sigma Plot, and MS Excel.
With extensive experience, I am confident that I can help you achieve your business goals. Let’s work together to bring out the highest quality and great results for your project.
Looking forward to working with you soon,
Habib Hamza
Steps for completing your project
After purchasing the project, send requirements so Habib can start the project.
Delivery time starts when Habib receives requirements from you.
Habib works on your project following the steps below.
Revisions may occur after the delivery date.
Data collection and cleaning, Exploratory data analysis.