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Vamakshi6402/README.md

👋 Hi, I’m Vamakshi Chaturvedi

Economist | Applied Micro | Data & Policy Analytics | MSc Economics (The University of Manchester)

I’m an economist focused on decision-making under uncertainty—pricing and demand analysis, causal impact evaluation, experimentation (A/B testing and power), and forecasting. My work translates complex economic data into clear, leadership-ready recommendations for product, marketplace, and operational decisions.

I’ve curated a 40+ story analytical portfolio on Medium, writing on economics, policy, innovation, and global resilience.

🛠️ Technical Skills

Econometrics & Policy Tools: Stata, R, Python, Excel, panel data, time series
Applied Micro & Evaluation: Causal inference, difference-in-differences, impact evaluation, M&E frameworks
Experimentation & Decision Science: A/B testing, MDE & power analysis, CUPED, experimental readouts
Data Analysis: SQL, data cleaning, forecasting, diagnostics
Policy & Analytics: Public finance analysis, risk modelling, economic briefs
Communication: Research papers, executive memos, policy writing, analytical storytelling

📁 Featured Projects

  • Executive Decision Memo: Data-Driven Go / No-Go
    Synthesizes pricing, causal, experimental, and forecasting analyses into a single executive recommendation under uncertainty.

  • Demand Forecasting & Scenario Planning
    End-to-end time-series forecasting with prediction intervals and scenario overlays, translating uncertainty into planning guidance.

  • Experimentation Readout & MDE / Power
    A/B testing toolkit covering experiment readouts, minimum detectable effects, power analysis, CUPED, and decision-focused reporting.

  • Product Rollout Impact Evaluation (Difference-in-Differences)
    Causal evaluation of staggered feature rollouts using DiD, fixed effects, event studies, and robustness reasoning.

  • Marketplace Pricing Elasticity Analysis
    Estimation of price elasticity using panel data and simulation of revenue implications for pricing decisions.

📄 Research & Writing

  • Research papers spanning applied microeconomics, development, labour markets, and policy evaluation
  • Policy briefs and evaluation reports for NGOs and research organizations
  • Long-form analytical writing on Medium (40+ published pieces)

🤝 Connect with me

🎯 Signature Strengths

Causal inference for real-world product and policy changes, experimentation discipline (MDE and power), and translating analytical results into clear, decision-oriented guidance under uncertainty.

Pinned Loading

  1. Executive-Decision-Memo-Data-Driven-Go-No-Go Executive-Decision-Memo-Data-Driven-Go-No-Go Public

    Executive decision memo synthesizing pricing, causal, experimental, and forecasting analyses into a clear data-driven Go / No-Go recommendation under uncertainty.

    1

  2. Demand_Forecasting_and_Scenario_Planning Demand_Forecasting_and_Scenario_Planning Public

    End-to-end demand forecasting and scenario planning using SARIMA models, prediction intervals, and error metrics, translating uncertainty into operational planning guidance.

    Jupyter Notebook 1

  3. Experimentation-Readout-MDE-Power Experimentation-Readout-MDE-Power Public

    End-to-end A/B experimentation toolkit: experiment readouts, MDE & power calculations, CUPED variance reduction, and decision-focused reporting in a Big Tech economist style.

    HTML 1

  4. Marketplace_Pricing_Elasticity_Analysis Marketplace_Pricing_Elasticity_Analysis Public

    Estimating price elasticity using panel data and fixed-effects models, with revenue simulations to inform pricing decisions in large-scale marketplace settings.

    Jupyter Notebook

  5. Product_Rollout_Impact_Evaluation Product_Rollout_Impact_Evaluation Public

    Causal evaluation of a staged product or feature rollout using Difference-in-Differences and event-study methods, with explicit pre-trend validation and Go/No-Go decision framing.

    Jupyter Notebook

  6. Rapid-Fraud-Risk-Options-Brief Rapid-Fraud-Risk-Options-Brief Public

    Independent rapid-options brief outlining rule-based fraud controls, minimum viable safeguards, KPI structures, and scalable deployment pathways for public finance and payment systems.