I will do time series analysis and forecasting using python or r
Statistician
About this Gig
Stop letting your data sit there looking pretty and telling you nothing.
I'm a Statistics researcher who builds forecasting models that actually get put to the test including air quality prediction work, where a wrong forecast isn't a typo, it's bad information reaching real people. I don't do "good enough." I do models that hold up.
Here's the truth most gigs won't tell you: slapping one ARIMA model on your data and calling it forecasting is lazy. I build multiple models ARIMA, LSTM, XGBoost, hybrids run them against each other, and prove statistically which one wins. Numbers, not guesses. You'll know exactly why you should trust the result.
What you're getting:
A forecast built to be right, not just built fast
Trends & seasonality, decoded no jargon dump
️ Multiple models, head-to-head, best one crowned
Reports and visuals sharp enough to hand straight to your boss or client
Python or R your call, I do both
Where this hits:
Sales & revenue Demand & inventory Stock/financial trends Weather & environment Web traffic
Messy data? Missing dates, duplicate rows, weird spikes? That's not your problem anymore it's mine.
Send your data and your goal before you order
My Portfolio
FAQ
What format should my data be in?
CSV or Excel works best, with a date/time column and one or more value columns. If your data's messy (missing dates, duplicates, weird gaps), send it anyway — I'll clean it as part of the job.
How much data do I need for a good forecast?
More is better. For statistical models (ARIMA), 50+ data points is usable. For ML models (LSTM, XGBoost), 200+ is recommended — the more history, the more reliable the forecast.
Which model will you use for my data?
Depends on your data's pattern (trend, seasonality, size, noise). In Standard and Premium packages, I test multiple models and pick the best-performing one for you no guessing upfront.
Do I get the code, or just the results?
Standard and Premium include documented Python/R source code. Basic includes results, metrics, and charts only — code available as an add-on.
Can you explain the results if I'm not technical?
Yes — every package includes a plain-language summary alongside the technical metrics. Premium also includes a short video walkthrough.
What if my forecast doesn't look accurate after delivery?
Revisions are included in every package. If something's off, I'll dig into it — wrong model choice, data issue, whatever it is — and fix it within the revision scope.
Can you handle multiple datasets or variables in one order?
Yes — Standard covers up to 3, Premium is unlimited. For more, message me and I'll scope a custom quote.
How fast can you deliver?
1-5 days depending on package.

