RSRudraksh Syal

Journey · 2015—Now

From making data visible to making systems dependable.

The through-line is not a particular model. It is an expanding level of responsibility for the decision—from understanding what happened to building the system that acts next.

Visibility→Prediction→Causality→Optimization→Production systems

Senior Data Scientist · Remote

Vista Tech · XO

How do we turn models into reliable operating systems?

Ownership expanded across fleet-wide pricing, forecasting, production ML, and applied AI.

10+
DPE models
9
US regions
2
LLM pipelines
  • Improved MSRP forecast accuracy from 71% to 78% and reversed EU Light Jet margin from −8% to +17%.
  • Founded Knowledge Café and mentored junior data-science talent for more than two years.

Senior Data Scientist · Cincinnati

84.51° · Kroger

What caused the outcome—and what should we optimize next?

Combined causal inference and optimization for merchandising and space-planning decisions.

10%
observed lift
4%
true incremental
26
store variables
  • Used BSTS to separate observed endcap sales from true incremental impact.
  • Applied integer optimization to new-store bakery shelf allocations.

MS · Business Analytics & Data Science

Purdue University

How do we reason rigorously about decisions?

Deepened the statistical and optimization foundations behind defensible decision systems.

MS
graduate degree
2019
graduated
BA + DS
major
  • Connected modeling choices to business constraints and decision quality.
  • Prepared for larger-scale causal and optimization work.

Data Scientist · Bangalore

Practo Technologies

How do we make product and sales data usable?

Built the foundations in business intelligence, experimentation, predictive scoring, and NLP.

30%
sales uplift
$4k
monthly tool cost
Live
self-serve BI
  • Built a real-time R/Shiny search-metrics application replacing a third-party SQL tool.
  • Published buying-probability scores to Salesforce and used NLP plus A/B testing to diagnose friction.

The leadership transition

Still hands-on. Increasingly a multiplier.

Over the last two years, the role expanded beyond individual model delivery: mentoring junior talent, reviewing peer work, creating shared learning forums, and translating technical decisions across product, engineering, pricing, and operations.

Mentorship
2+ years
Knowledge Café
8 sessions
Reach
60+ colleagues