Skills
Technical and analytical capabilities across data science, AI, and software development stacks.
3+
End-to-end AI/Analytics solutions
92%
LLM QA triage effectiveness
20%↓
Wait time via routing & ops
7+
Analytics dashboards delivered
Programming & Data Foundations
Python (Pandas, NumPy, scikit-learn)95%
SQL (analytics, window fns, modeling)88%
R • MATLAB78%
JavaScript • Flask APIs75%
Clean code & testingData modelingETL/ELTPerformance
Machine Learning, NLP & LLMs
Predictive models90%
NLP (BERT, spaCy, text pipelines)88%
LLM integration & prompt engineering86%
Forecasting (ARIMA, LSTM)82%
TransformersFeature engineeringModel explainabilityEvaluation/ROC/AUC
Analytics Engineering & Visualization
Streamlit apps & data stories95%
Python viz (Matplotlib, Seaborn, Plotly)90%
Power BI55%
Experiment dashboardsCohort analysisAnomaly detection
Operations Research
Linear & Integer Programming88%
Network Flow Optimization82%
Core Competencies
Analytical storytelling
Stakeholder communication
Experiment design (A/B)
Road-mapping
Mentoring & collaboration