Data Science & Predictive Analytics

Data Science & Predictive Analytics

At DH Solutions, we help businesses unlock the value of their data through advanced analytics, forecasting, and predictive modeling. We convert raw information into measurable insights that improve decision-making, reduce risk, and drive growth.

From KPI dashboards and reporting to machine learning prediction engines, we build data-driven solutions that help you anticipate trends, automate decisions, and optimize performance.

data-science

Our Data Science Process

Data Discovery & Business Goals

We define the problem, identify KPIs, review data sources, and align the analytics approach with your business objectives.

Data Cleaning & Feature Engineering

We clean datasets, handle missing values, remove noise, and create meaningful features that improve model performance.

Modeling & Predictive Forecasting

We build predictive models for churn, demand, sales, and risk using machine learning and statistical methods.

Dashboards, Deployment & Monitoring

We build dashboards and deploy models into production with monitoring, drift detection, and retraining plans.

Our Tech Stacks

Data Science & Analytics

Python

Python

Pandas

Pandas

NumPy

NumPy

scikit-learn

scikit-learn

Jupyter

Jupyter

Power BI

Power BI

Tableau

Tableau

SQL

SQL

Spark

Spark

Airflow

Airflow

Frequently Asked Questions about Data Science

Our process.
Simple, seamless,
streamlined.

Client on a video call with DH Solutions

Step 1

Step 1: Discuss Your Requirements

We start by understanding your goals, scope, timeline, budget, and vision. We'll also help you choose the best engagement model for your project.

Step 2

Step 2: Create a Plan

We put together a clear delivery roadmap, assign the right engineers and specialists, set milestones, and define success metrics for your product.

Step 3

Step 3: Get to Work

Our team starts design and development, shares progress frequently, gathers your feedback, and iterates until everything is ready to launch.

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