Q.01
How quickly can you start on my project?
We can typically kick off a new project within 1–2 weeks of signing the agreement. For urgent requirements, we can assemble a team and start within 3–5 business days.
Gel 03 · Service 20 / 27
Data Science ConsultingServices
We help businesses harness the power of data with advanced analytics, statistical modeling, and machine learning to drive strategic decisions.
- Rate
- From $14/hour
- Kickoff
- 1–2 weeks
- Deliverables
- 06
How it runs
- 01Discovery
- 02Design
- 03Development sprints
- 04Testing
- 05Deployment
Step 01 / 06 · Data Strategy
Gel 03 · AI, data & automation
What you get
What wedeliver.
From data strategy to predictive modeling, we deliver actionable insights that create competitive advantage.
- Not yet01
Data Strategy
Included
<DataStrategy />Define your data vision, governance framework, and analytics roadmap.
- Not yet02
Exploratory Data Analysis
Included
<ExploratoryDataAnalysis />Discover patterns, trends, and anomalies in your data.
- Not yet03
Predictive Modeling
Included
<PredictiveModeling />Build and deploy models for forecasting, classification, and recommendation.
- Not yet04
Data Visualization
Included
<DataVisualization />Interactive dashboards and reports that make complex data accessible.
- Not yet05
Data Engineering
Included
<DataEngineering />Build robust data pipelines, ETL processes, and data warehouses.
- Not yet06
A/B Testing & Experimentation
Included
<ABTestingExperimentation />Design and analyze experiments to validate hypotheses and optimize outcomes.
At wrap
- Data-Driven Decisions. Replace guesswork with data-backed insights for strategic business decisions.
- Predictive Insights. Forecast trends, demand, and outcomes with statistical and ML models.
- Customer Intelligence. Deep understanding of customer behavior, segments, and lifetime value.
- Operational Optimization. Identify inefficiencies and optimize operations with data analysis.
- Revenue Growth. Discover new revenue opportunities through data exploration and pattern recognition.
- Risk Management. Quantify and mitigate risks with probabilistic models and scenario analysis.
Why Malkano
Why Malkano for Data Science Consulting?
06 frames · one crew
- Take 01
PhD-level data scientists with industry experience
- Take 02
End-to-end data pipeline and model development
- Take 03
Clear communication of technical results to stakeholders
- Take 04
Scalable solutions from ad-hoc analysis to production ML
- Take 05
Cross-industry experience in finance, healthcare, and e-commerce
- Take 06
Focus on actionable insights, not just reports
On the stack · 16
- Python
- R
- SQL
- Pandas
- NumPy
- scikit-learn
- TensorFlow
- Tableau
- Power BI
- Looker
- Snowflake
- BigQuery
- Apache Spark
- Airflow
- dbt
- Jupyter
Before you ask
Questions
Q.02
What engagement models do you offer?
We offer three models: Fixed Price (ideal for well-defined projects), Time & Material (for evolving requirements), and Dedicated Team (for long-term partnerships). We'll recommend the best fit during consultation.
Q.03
Do you provide post-launch support?
Yes, every project includes post-launch support. We offer flexible maintenance packages ranging from basic bug fixes to full managed services with 24/7 monitoring and SLA guarantees.
- Prod.
- Malkano Tech
- Scene
- 20
- Take
- 01
Ready to Unlock the Power of Your Data?
Let our data science team turn your data into actionable insights and competitive advantage.
FRAME 11 — Contact
Have a project?Let's build.
Tell us what you're building. We reply within one business day with next steps and a rough plan, for teams in the USA, Canada and India.
Studio 1 · Rec
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