A / MODELING
Predictive ML
Classification, regression, ranking, time series, feature engineering, validation, and model monitoring.
Data science · modeling · decisions
I turn noisy data into clear signals.
A Data Scientist building predictive models, experiments, and analytical systems that help teams move from "what happened?" to "what should we do next?"
INFERENCE / LIVE
forecast confidence 0.94signal ↑ 18.7%
01 · Profile
Curiosity, rigor, and useful models.
I combine statistical thinking, machine learning, experimentation, and business context to make analysis actionable, not merely impressive.
7Years across analytics & ML
42Models shipped to production
19Experiments led
31Percentage-point lift delivered
02 · Expertise
The toolkit behind the signal.
A practical mix of modeling, analytics, engineering, and communication.
B / EXPERIMENTS
Causal thinking
A/B testing, experiment design, uplift analysis, hypothesis framing, and decision-focused interpretation.
C / STORY
Data products
Dashboards, analytical narratives, stakeholder workshops, and reproducible workflows that make insights travel.
PythonSQLscikit-learnPandasPyTorchStatisticsExperimentationTime SeriesData VisualizationFeature Engineering
03 · Selected research
Where inference met impact.
Case-study highlights showing the questions, methods, and outcomes behind the work.
DemandSense
Built a probabilistic demand forecasting pipeline combining hierarchical time series, promotion features, and uncertainty intervals to improve inventory planning.
-18% forecast error
Signal Lift
Designed an experimentation framework that connected product hypotheses to measurable behavioral outcomes and reduced decision latency.
2.4× faster decisions
VoiceMap
Created a text classification system to surface recurring customer themes from unstructured feedback and prioritize high-value issues.
91% F1 score
04 · Experience
A track record of turning analysis into action.
Selected roles across product analytics, machine learning, and decision science.
Northstar Commerce
Lead predictive analytics and experimentation for growth and operations; partner with product, marketing, and engineering teams on high-impact decisions.
Orbit Labs
Developed customer models, automated analytical workflows, and measurement frameworks that moved recurring reporting into reusable data products.
Metric House
Translated complex datasets into executive-ready insights, dashboards, and statistical analyses for commercial and product teams.
05 · Contact
Have a hard question hiding in the data?
I'm open to conversations about data science roles, analytical strategy, experimentation, predictive modeling, and data products.
✉ priya@example.com
☎ +91 80 5550 0162
◈ Bengaluru, IN