I will build predictive machine learning models for your data

Tariq Ahmed
Tariq Ahmed New Seller
4.8 (936)· 2.4k orders completed ·Pakistan

About this service

Move from describing what happened to predicting what's next. I build and validate machine learning models, churn prediction, demand forecasting, classification, lead scoring, that learn from your historical data and produce accurate, explainable predictions you can put to work.

  • Problem framing, feature engineering, and data preparation
  • Model selection, training, and rigorous validation (no overfitting)
  • Performance metrics explained in plain English
  • Predictions delivered as a file, notebook, or simple API
  • Feature importance so you understand what drives the outcome

Why me: I have a strong background in applied ML and statistics, and I never hand over a black box. You get a model that performs and an explanation of why it works, so you can trust the results.

Tell me what you want to predict and share your historical data. I'll assess feasibility honestly before we begin, including whether you have enough data. Let's build something that actually forecasts your future, not just charts your past.

About the seller

Tariq Ahmed
Tariq Ahmed New Seller
Eager virtual assistant for data entry & lead research
4.8 (936)

I'm a motivated virtual assistant ready to handle data entry, web research, lead generation, and basic admin tasks. I'm fast, accurate, and detail-focused, and I take direction well. I'm building my freelance career and I overdeliver on every job to earn your trust. Available across most time zones with quick replies.

FromPakistan
SpeaksEnglish, Urdu
LevelJunior
Orders2.4k
Contact me

Reviews

★ 4.8
936 reviews
for this service
T
Thomas Wright
🌐 United Kingdom
2 weeks ago
5.0 (0)
Built a churn model that's already helping us retain customers. The explainability report was excellent.
S
Sneha Reddy
🌐 India
2 months ago
5.0 (0)
Honest about what the data could and couldn't predict, then delivered a model that beat our expectations.
H
Henrik Larsson
🌐 Sweden
4 months ago
5.0 (0)
Demand forecasting accuracy is far better than our old approach. Deployed the API smoothly too.
C
Camila Rojas
🌐 Chile
6 months ago
4.0 (0)
Strong work on the classification model. Documentation was thorough, just took an extra revision to tune.
W
Wei Zhang
🌐 China
10 months ago
5.0 (0)
No black box, he explained every step. Feature importance gave us insights beyond the model itself.

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