End-to-End Data Science Pipeline
Budget: ₹750 – ₹1,250 INR
I’m ready to turn raw data into decisions. The assignment covers the full data-science workflow—from initial data audit through to a share-worthy model and clear insight report. You’ll help me clarify the business question, load and clean the datasets, explore key patterns, engineer meaningful features, choose and tune algorithms, and finally present findings in a concise narrative with compelling visuals.
Python with pandas, scikit-learn, TensorFlow or R with tidyverse are all welcome so long as the code is reproducible, commented, and handed over in notebooks or scripts I can rerun. Cloud notebooks, Docker, or virtual-environment setups are fine if that speeds things up.
Deliverables I expect:
• Clean, well-annotated dataset(s)
• Reproducible notebooks/scripts plus requirements file
• Trained model with performance metrics and save/load instructions
• Insight report or dashboard that a non-technical stakeholder can grasp
I’ll be available for quick feedback loops, and I value transparent communication around assumptions, limitations, and next-step recommendations. If this sounds like a challenge you’d enjoy, let’s map out milestones and get started.
Python with pandas, scikit-learn, TensorFlow or R with tidyverse are all welcome so long as the code is reproducible, commented, and handed over in notebooks or scripts I can rerun. Cloud notebooks, Docker, or virtual-environment setups are fine if that speeds things up.
Deliverables I expect:
• Clean, well-annotated dataset(s)
• Reproducible notebooks/scripts plus requirements file
• Trained model with performance metrics and save/load instructions
• Insight report or dashboard that a non-technical stakeholder can grasp
I’ll be available for quick feedback loops, and I value transparent communication around assumptions, limitations, and next-step recommendations. If this sounds like a challenge you’d enjoy, let’s map out milestones and get started.