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Coding/Chilling
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Coding/Chilling
70 followers · 34 following

Achievements

Achievement: YOLOAchievement: Pull Sharkx2

Achievements

Achievement: YOLOAchievement: Pull Sharkx2

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munas-git/README.md

Hi, I'm Einstein (Currently open to new roles) - Résumé PDF | Cover Letter

  • I specialize in Statistical Inference, with strong expertise in Propensity Modeling, Time Series Forecasting, and Generative AI
  • Skilled in using data to drive insights, especially in:
    • Demand Forecasting (Time Series Modeling, Inventory and Supply Planning)
    • Anomaly Detection (Fraud Detection, Real-time Monitoring Dashboards, Alert Systems for Operational KPIs)
    • Ad-Hoc Analysis (Custom Queries, Root Cause Investigation, Exploratory Data Analysis, Executive Dashboards)
    • Conversion Optimization (A/B Testing and Experimentation, Funnel Drop-off Analysis, Personalized Recommendations)
    • Customer Segmentation (Behavioral Clustering, Demographic Grouping, Targeted Campaign Design, Lifetime Value Grouping)
    • Churn Prevention (Cross-sell, Upsell, Price Optimization, Lifetime Value Prediction, Retention Modeling, Early Warning Systems)
  • Always looking to collaborate on data science projects involving machine learning, Natural Language Processing (NLP, NLU, RAGs)
  • Reach me: einsteinmunachiso@gmail.com | LinkedIn.

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  1. USA-Energy-Demand-Forecasting-Prophet-NeuralProphet USA-Energy-Demand-Forecasting-Prophet-NeuralProphet Public

    Optimized energy demand forecasting for the AEP region (USA) using time series modeling with Prophet and NeuralProphet. Includes autoregressive memory, holiday effects, time-aware cross-validation,…

    Jupyter Notebook

  2. HotelBooking-Price-Elasticity-Modeling-and-Customer-Segmentation HotelBooking-Price-Elasticity-Modeling-and-Customer-Segmentation Public

    Modeling hotel booking demand and segmenting guests using price elasticity analysis, statistical modeling, and behavioral clustering to inform targeting and STP strategies.

    Jupyter Notebook

  3. AdCampaign-Click-Propensity-Modeling-and-Targeting-Optimization AdCampaign-Click-Propensity-Modeling-and-Targeting-Optimization Public

    Predicting email ad click-through using interpretable ML and counterfactual simulations to uncover behavioral drivers and optimise targeting strategies.

    Jupyter Notebook

  4. Customer-Conversion-Propensity-Modeling-and-Marketing-Campaign-Optimisation Customer-Conversion-Propensity-Modeling-and-Marketing-Campaign-Optimisation Public

    Predicting customer conversion likelihood for bank term deposit campaigns using a calibrated propensity model to optimise telemarketing outreach.

    Jupyter Notebook

  5. DialogueDesk-System DialogueDesk-System Public

    Smart Complaint & Meeting Tracker: NLP-driven platform with Telegram bot, AI-powered transcription, summarization, and insights via Streamlit admin dashboard.

    Python

  6. GenAITopicModeling-ResearchTool-2 GenAITopicModeling-ResearchTool-2 Public

    Enhanced automated topic classification & modeling tool leveraging Google’s Gemini 2.0 Flash-Lite API. Designed initially for protest-related text analysis, this updated version allows users to def…

    Python 1