Skip to content
View munas-git's full-sized avatar
😎
Coding/Chilling
😎
Coding/Chilling

Block or report munas-git

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
munas-git/README.md

Hi, I'm Einstein (Open to new roles) | ML Focused Résumé OR Gen AI Focused Résumé

A versatile Data Scientist who helps businesses make better, faster, and more confident decisions through data, from dashboards to forecasting, machine learning to GenAI. I’ve delivered 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 quickly adapt to new domains and challenges, staying up to date with the latest in data and AI.

Open to roles in analytics, business intelligence, product data, or applied machine learning. Anywhere data meets business decisions.

Let’s connect: [email protected] | linkedin.com/in/einstein-ebereonwu

Pinned Loading

  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

  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