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munas-git (Einstein, MSc) · GitHub

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Problem-Solving & Chilling
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Problem-Solving & Chilling
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munas-git/README.md

Hi, I'm Einstein

A versatile Data Scientist focused on enabling better, faster, and more confident decisions through data, from dashboards to forecasting, machine learning to GenAI. I deliver value across industries through projects involving:

  • Planning & Forecasting: Inventory optimization, supply planning, and demand modeling
  • Operational Monitoring: Real-time KPI dashboards, alert systems, and anomaly detection
  • Customer & Marketing Analytics: Segmentation, conversion optimization, personalization strategies
  • Experimentation & Testing: Funnel analysis, A/B testing frameworks, campaign performance insights
  • Business Intelligence & Ad-hoc Analysis: Executive dashboards, root cause analysis, stakeholder-ready visuals
  • Computer Vision: Developed image classification and object detection models for quality control and visual inspection use cases
  • Generative AI: Built domain-specific chatbots and retrieval-augmented generation (RAG) systems using LLMs, vector databases, and advanced propmt engineering for quick knowledge access and workflow automation

I’m comfortable using a wide range of tools including; Excel, Power BI, SQL, Python, Scikit-Learn, Streamlit, LangChain, Azure. I adapt quickly to new domains and challenges, staying up to date with the latest in data and AI.

Let’s connect :) einsteinmunachiso@gmail.com | linkedin.com/in/einstein-ebereonwu | X f.k.a Twitter @einsteinmuna

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

    Optimized demand forecasting using time series modeling with Prophet and NeuralProphet. Includes autoregressive memory, holiday effects, time-aware cross-validation, and hyperparameter tuning. Deli…

    Jupyter Notebook 1

  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. DialogueDesk-System DialogueDesk-System Public

    Smart Complaint & Meeting Tracker: NLP-driven platform with Retrieval Augmented Generator (RAG) chat bot, AI-powered speech to text transcription, summarization, action point extraction, and advanc…

    Python

  4. 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

  5. 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

  6. 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

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