Rushil Awasthi

About Rushil Awasthi

I am an Associate Data Scientist at Fractal Analytics with 2+ years of experience in demand forecasting, machine learning, and advanced analytics for large-scale retail and FMCG datasets.Currently, I work on building scalable forecasting and decision intelligence solutions, including ForecastX360 — an AI-driven demand forecasting platform leveraging SARIMA, Prophet, and XGBoost, which improved forecast accuracy by ~70% through model optimization and feature engineering.I have hands-on experience delivering multi-market analytics for global clients like Mondelez, where I built automated pipelines, KPI dashboards, and executive insight frameworks across 40+ European markets using Python, SQL, and Power BI.My core expertise includes:• Time Series Forecasting (SARIMA, Prophet)• Machine Learning & Predictive Modeling• Data Analytics & Dashboarding (Power BI)• Python, SQL & Automated Data Pipelines• Retail & FMCG AnalyticsI am passionate about solving real business problems using data — from churn prediction systems to end-to-end forecasting platforms — and translating complex datasets into actionable business insights.Currently open to exploring opportunities in Data Analytics, Decision Science, and Forecasting-focused roles where I can create measurable business impact.

Experience

1. Associate Data Scientist

   Fractal

   Aug 2024 — Present · Gurugram, IN

   Role Summary:Worked on AI-driven demand forecasting, predictive analytics, and large-scale retail data solutions for global FMCG clients, focusing on model optimization, forecasting accuracy, and scalable analytics platforms.Key Contributions:Designed and deployed ForecastX360, an AI-driven demand forecasting platform using SARIMA, Prophet, and XGBoostImproved forecast accuracy by ~70% through feature engineering, model optimization, and hyperparameter tuningConverted manual Excel-based workflows into a scalable modular Streamlit application, improving runtime performance by 50–70%Built automated Python pipelines for large retail datasets to enable scalable and repeatable analyticsDeveloped KPI frameworks and country-level dashboards for multi-market performance trackingDelivered executive-ready insights and trend analysis across 40+ European markets using Nielsen retail dataCollaborated with stakeholders to translate analytics into commercial recommendations and business strategiesApplied forecasting frameworks to NPD (New Product Development) use cases with limited historical data Client Project: Mondelez International (via Fractal)Category Analytics & Insight GenerationLed category trend analysis across 40+ European markets using retail and syndicated datasetsBuilt automated reporting pipelines and analytics dashboards for Top 14 priority marketsIdentified growth opportunities through KPI tracking, segmentation, and trend decompositionDelivered insight decks for senior stakeholders to support strategic decision-making

Education

• JAGRAN COLLEGE OF ARTS, SCIENCE & COMMERCE, JUHI,

  Bachelor's of Computer Applications , Computer Science

  2019 — 2022

• Vellore Institute of Technology

  Master of Computer Applications - MCA, Computer Science