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I will do data science and machine learning in python
Data Scientist with real business impact
Hi, I’m Sameer Phalak a data analyst and former data science consultant with hands-on experience in machine learning, predictive modeling, and data visualization. I’ve delivered real-world projects li...
About this Gig
Data Science | Python, Machine Learning & Predictive Modeling
I work with Python, statistics and machine learning to analyze data, identify patterns and build suitable predictive models.
My project work includes loan default prediction, customer churn analysis, sentiment analysis and image classification. I focus on organized code, appropriate evaluation metrics, clear visualizations and honest interpretation of results.
My services include data cleaning, exploratory data analysis, statistical analysis, classification, regression and model evaluation.
I aim to deliver practical, well-documented solutions with clear explanations tailored to each project's requirements.
FAQ
Q1: What do you need from me to get started?
A: Please share your project goal, dataset or sample, expected outcome, and any specific requirements. I'll review the scope before we begin.
Q2: What tools do you use for Data Analysis and modeling?
A: I primarily use Python, Jupyter Notebook, pandas, scikit-learn, SQL, and Excel. Other tools depend on your project requirements.
Q3: Can you explain the results to a non-technical person?
A: Yes. I'll explain the key findings, visualizations, model performance, and limitations in clear, simple language.
Q4: Will I receive the source code or notebook?
A: Yes. Deliverables will follow your selected package and may include Python scripts or Jupyter Notebooks, visualizations, and agreed reports.
Q5: Can you work with sensitive or private data?
A: Yes, where feasible. Please share only the data needed for the project, remove sensitive information where possible, and use Fiverr's approved file-sharing methods.
Q6: What if my data is messy or incomplete?
A: I can assess missing values, duplicates, inconsistencies, and preprocessing needs. The work possible will depend on data quality and your selected package.
Q7. Which package should I choose?
Basic is for simple analysis, Standard adds feature engineering and multiple model evaluation, and Premium offers a more complete workflow with suitable tuning and a detailed report. Message me if you're unsure.
