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Statistics & Biostatistics
Led by Dr. Ibrahim Soumare, PhD, we design rigorous studies and perform defensible analyses for academia, healthcare, and industry.
Capabilities
- Study design, power & sample size
- GLM/GLMM, survival & longitudinal models
- Biostatistics: clinical trials & epidemiology
- Causal inference & experimental design
- Survey methodology & psychometrics
Deliverables
SAPs, reproducible code, publication-ready tables/figures, and plain-English summaries aligned to your stakeholders.
Machine Learning & AI
We build interpretable, deployable models—from classical ML to deep learning—grounded in sound validation.
Capabilities
- Classification, regression, forecasting
- NLP: topic modeling, sentiment, NER
- Feature engineering & model monitoring (MLOps)
- Explainability & fairness assessments
Deliverables
Trained models, APIs, evaluation reports, and handoff docs for engineering or research teams.
Typical Uses
Risk scoring, retention/churn, demand forecasting, document analytics, and decision support.
Data Engineering & Tooling
Clean, documented pipelines and the right tooling ensure analyses are reproducible and scalable.
What We Build
- ETL/ELT pipelines with validation & QA
- Relational schemas, ERDs, and optimized SQL
- APIs & integrations for analytics apps
- Versioning, testing, and CI for analytics code
Toolchain
- Python, R, SAS, SQL (Postgres/MySQL/SQLite)
- Git/GitHub, Docker, Linux/CLI
- Excel (advanced/VBA), Power BI, Dash/Shiny
- Cloud-ready patterns & deployment guides
Outcomes
Faster cycles, fewer data defects, and maintainable assets your team can extend confidently.
Dashboards & Automation
Automated solutions for routine analysis: refreshable dashboards, scheduled reports, and one-click workflows.
What We Deliver
- Interactive dashboards (Power BI, Dash, Shiny)
- Automated KPI reports & alerting
- Scheduled data pulls & preprocessing jobs
- Reusable templates for recurring analyses
Typical Automations
Monthly financials, quality metrics, survey tracking, clinical/operational summaries, and grant/reporting packets.
Benefits
Eliminate manual rework, reduce errors, and get up-to-date insight on a schedule that matches your decisions.
Training & Capacity Building
Hands-on upskilling led by Dr. Ibrahim Soumare, PhD, connecting statistical theory to daily practice.
Workshops
- Practical statistics & experimental design
- Regression, survival, causal inference
- ML/NLP fundamentals with notebooks
- Reproducible research
Formats
- Half-day to multi-week
- Virtual or on-site
- Custom datasets & exercises
- Post-training office hours
Outcomes
Teams that can independently design analyses, interpret results, and maintain production-quality workflows.