I will perform data analysis visualization and predictive analytics
Machine Learning Engineer Data Scientist Python Developer
Level 2
Has met high performance criteria and has a proven track record for meeting client expectations.
About this Gig
Do you need help transforming raw data into meaningful insights that support better business decisions? I provide professional data analysis, data visualization, forecasting, and predictive analytics services using Python and industry-standard data science tools.
I can help you clean and preprocess datasets, perform exploratory data analysis (EDA), identify trends and patterns, create professional visualizations, and build predictive models to uncover valuable business insights. Whether you need customer churn analysis, sales forecasting, performance reporting, business intelligence dashboards, or predictive analytics solutions, I can deliver accurate and actionable results.
My expertise includes Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-Learn, XGBoost, and machine learning-based analytics. Every project includes clear documentation, well-structured code, professional communication, and detailed reports to help you understand the findings and make data-driven decisions.
I have experience working on projects such as Store Sales Forecasting, Customer Churn Analysis, and Business Analytics Dashboards.
Programming language:
Python
•
R
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SQL
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Colab
Frameworks:
Scikit-learn
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DeepPy
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Keras
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PyTorch
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Panda
APIs:
Microsoft Computer Vision AI
Tools:
Jupyter Notebook
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OpenCV
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TensorFlow
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Excel
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MLflow
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Colab
•
RStudio
My Portfolio
FAQ
What types of datasets do you work with?
I work with CSV, Excel, SQL exports, Google Sheets, and other structured datasets used for business analytics, forecasting, and machine learning projects.
Can you analyze my data and provide business insights?
Yes. I can perform exploratory data analysis (EDA), identify trends and patterns, create visualizations, and provide actionable insights to support business decision-making.
Do you build predictive models?
Yes. I can develop predictive analytics solutions including customer churn prediction, sales forecasting, demand forecasting, and other machine learning-based prediction models.
What tools and technologies do you use?
I primarily use Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-Learn, XGBoost, and Jupyter Notebook depending on the project requirements.
Can you create dashboards and visualizations?
Yes. I can create professional visualizations and interactive dashboards to help you better understand your data and key performance metrics.

