I will engineer precision ML models to forecast your demand

MLForecast Starter

I will engineer a pro ML forecast from your data within 48 hours.

Delivery Time
2 Days
Package Includes: see all
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Service details

Engineering-Grade ML Forecasting for Demand & Reliability

Struggling with unpredictable inventory or costly equipment downtime? I bridge the gap between complex data science and actionable business strategy. Leveraging a deep engineering background, I build robust machine learning solutions that transform your historical data into a strategic roadmap.

What I Deliver:

  • High-Accuracy Forecasting: Custom models to predict market demand, sales trends, or system failures.
  • Engineering Rigor: My models focus on data integrity, feature significance, and statistical validation ($MAPE$ / $RMSE$).
  • Business Integration: Solutions ranging from 48-hour insights to automated enterprise pipelines.

Why Partner With Me?

  • Data-Driven Decisions: Replace guesswork with statistically sound projections.
  • Operational Efficiency: Optimize your supply chain and maximize asset uptime.
  • Scalable Code: Receive clean, documented Python scripts ready for production.

Packages for Every Scale:

  1. Starter: Rapid baseline forecast in 48 hours.
  2. Standard: Feature-rich models with deep statistical tuning.
  3. Premium: Full end-to-end automated pipelines.

Let’s turn your data into your most valuable asset. Message me today to discuss your project requirements!

Key details

  • Purpose
    Sales ForecastingDemand PredictionTrend AnalysisInventory ForecastingTime Series Forecasting
Special note from freelancer
The Engineering Advantage: I bridge the gap between theory and production. Unlike generic services, I provide industrial-grade rigor with rapid execution. You get validated, scalable models engineered for precision and speed.
FAQs
What kind of data do I need to provide?

For time-series forecasting, I typically need a dataset with at least two columns: a timestamp (Date/Time) and the target variable (e.g., Sales, Temperature, or Sensor readings). Formats like .csv, .xlsx.

How accurate will the forecast be?

Accuracy depends on data quality and volume. I use industry-standard metrics like RMSE to validate the model. I will provide these metrics so you know exactly how much to trust the predictions.

Can you work with missing or "messy" data?

Yes(Premium). Part of my engineering process includes data cleaning and imputation. I’ll handle missing values and outliers to ensure they don't skew the results, though more complete data always yields better accuracy.

What tools and libraries do you use?

I primarily use Python with specialized libraries like Pandas for data handling, and Scikit-Learn, Prophet, or XGBoost for modeling. For Deep Learning (Premium Package),

Is my data kept confidential?

Yes. As an engineer, I take data privacy seriously. Your data is used strictly for building your model and is deleted from my local environment once the project is closed and accepted.

Shubhashish prakash

Shubhashish prakash

    Senior Data Analyst |Forecaster

    I bridge the gap between complex engineering data and strategic business foresight. With 4 years in Applied ML and Statistical Modeling, I build scalable solutions for demand forecasting, trend analysis, and predictive maintenance. I bring an engineer’s discipline to the data lifecycle ensuring every insight is backed by statistical proof and optimized for production. I help organizations stay ahead through impactful, data-led decision-making and rigorous, high-performance modeling.

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