Samyak Shukla.
Available for Analytics & Quantitative Roles
Songwriter & Audio Enthusiast

Quantitative Economics &
Business Decision Analytics

Formulating prescriptive optimization engines, stochastic Monte Carlo risk distributions, and relational data schemas to solve high-impact supply chain and commercial business bottlenecks.

Explore Projects LinkedIn Profile GitHub Repositories

Featured Analytics Projects

End-to-end applications solving real-world supply chain and SaaS revenue challenges.

Prescriptive Analytics & Operations Research

Autonomous Sourcing & Disruption Solver

Prescriptive Operations Research engine using Mixed-Integer Linear Programming (MILP) that automatically prescribes exact unit allocations across global fulfillment nodes under capacity, SLA, and Scope-3 carbon limits. Features automated executive decision directives, 1,000-trial Monte Carlo tail risk (VaR₉₅), dual shadow pricing, and Pareto trade-off modeling.

Python PuLP (MILP) Prescriptive Directives Monte Carlo VaR Dual Shadow Price Streamlit
Live Application → GitHub Repo
Predictive Supply Chain

Global Multimodal Supply Chain Optimizer

Modeled OTIF fulfillment, stochastic lead-time variance (σL), safety stock buffer levels, and financial disruption costs across 2,500 multimodal shipment records to optimize inventory replenishment.

Python Streamlit Plotly Express Inventory Theory
Live Application → GitHub Repo
Prescriptive RevOps & ML

B2B SaaS Predictive Retention & CLV Decision Engine

Architected a PostgreSQL star schema for a €49K ARR portfolio. Trained a Gradient Boosting churn hazard model with dynamic CLV estimation, and solved a Knapsack MILP via PuLP to prescribe account-level retention offers under budget ceilings.

Python (PuLP MILP) Gradient Boosting PostgreSQL Power BI & DAX Streamlit
Live Application → GitHub Repo

Technical & Analytics Competencies

Core proficiencies across business optimization, quantitative risk modeling, and data engineering.

Optimization & Decision Engines

  • Mixed-Integer Linear Programming (MILP)
  • PuLP (COIN-OR CBC Solver) & Knapsack Optimization
  • Dual Shadow Pricing (Marginal Returns)
  • Multi-Objective Pareto Frontiers (ε-Constraint)
  • Capacity Bottleneck Economics

Risk, ML & Quantitative Modeling

  • Gradient Boosting Churn Classifiers
  • Dynamic Customer Lifetime Value (CLV)
  • Stochastic Monte Carlo Simulations
  • Parametric Value-at-Risk (VaR₉₅ / CVaR₉₅)
  • Lead-Time Variance & Safety Stocks

Data Engineering & BI Stack

  • Python (NumPy, Pandas, Scikit-Learn, PuLP)
  • Streamlit & Plotly Interactive Deployments
  • PostgreSQL & Star Schema Modeling
  • Microsoft Power BI & Complex DAX
  • Scope-3 ESG Procurement Analytics

Academic Background

Bachelor of Arts (B.A.) in Economics

2023 – 2026

University of Lucknow

Score: 73.40% • Medium of Instruction: English

Major: Economics | Minor: Political Science & Public Administration

Senior Secondary & Secondary (CISCE / ICSE)

City Montessori School — Class XII (Science): 89.50% | Class X: 95.60%

Certifications & Training

  • High-Performance Leadership IIM Ahmedabad (2026)
  • Data Analytics Professional IBM (2025)
  • Business Analytics (82%) IIT Madras Pravartak (2024)
  • Financial Markets Yale University (2025)
  • Management Decisions Using AI Tools LM Thapar (2025)
  • Product Management IBM (2025)

Creative Discipline: Writing & Sound

Balancing quantitative rigor with songwriting, making tracks, and audio production.

Songwriter • Performer • Co-Producer
Songwriting & Composition
Lyrical Craft & Structure

Writing original songs with a focus on narrative depth, thematic resonance, and intentional song design.

Production & Sound
Arrangement & Sonic Identity

Collaborating on production arrangements, dialing in mixes, and obsessing over acoustics, frequencies, and sound texture.

Live Performance
Making Sound

Making original music inspired by what i love to listen to.