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manassanjaymishra24/README.md

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💫 About Me

Hey, I'm Manas — I build systems that turn raw, messy data into something you can act on.

Recent work spans behavioral analytics (Sentinel — detects multi-week attack patterns and outputs auditable dry-run response plans) and market analysis (Market-Oracle — uncertainty-aware signal interpretation across timeframes). On the data side, I've shipped Streamlit dashboards like Retail-analytics-pro that ingest raw sales data, auto-normalize schemas, and surface forecasts.

I work mainly in Python for data/ML pipelines and TypeScript when a project needs a real frontend or backend-for-frontend layer — happy to go full-stack when the problem calls for it.

  • 🌱 Active open-source contributor — merged PRs across community projects
  • 🔭 Currently exploring: applied ML for decision systems (forecasting, anomaly detection, signal interpretation)
  • 💬 Open to collaborating on data + AI tooling, especially anything analytics-adjacent

🎯 What I'm Currently Building

  • 📊 Data Engineering & Analytics — schema normalization, ETL pipelines, forecasting dashboards (Retail-analytics-pro, ecommerce-sales-eda)
  • 🛡️ Behavioral Security Systems — multi-week attack-pattern detection with auditable, dry-run response plans (Sentinel)
  • 📈 Market Signal Interpretation — uncertainty-aware analysis across multiple timeframes (Market-Oracle)
  • 🤖 Applied ML for Decision Systems — forecasting and anomaly detection as a general toolkit, not just one-off notebooks
  • 🌐 Full-stack tooling — TypeScript backend-for-frontend layers when a project needs a real UI on top of the data work

🌟 Featured Projects

Project What it does
🛡️ Sentinel Detects multi-week behavioral attack patterns and outputs auditable, dry-run incident response plans
📈 Market-Oracle Uncertainty-aware market signal interpretation across multiple timeframes
🛒 Retail-analytics-pro Streamlit dashboard that ingests raw sales data, auto-normalizes schemas, and surfaces forecasts

💻 Tech Stack

Languages

Python C TypeScript JavaScript

Data & AI

Pandas NumPy Matplotlib scikit-learn Jupyter

Tools & Cloud

AWS Streamlit Git GitHub

🛠️ Top Languages

TypeScript     ████████████████████████░░░░░░░░░░░░░░░░  50%
Jupyter NB     █████████████░░░░░░░░░░░░░░░░░░░░░░░░░░░  29%
JavaScript     ██████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░  13%
Python         ████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░   8%

🌐 Socials

LinkedIn  Email  GitHub  Discord

"Beyond simple alerts. Beyond simple code."

Pinned Loading

  1. Sentinel Sentinel Public

    Sentinel: An autonomous behavioral analytics engine. Beyond simple alerts, it detects multi-week attack patterns and provides auditable, dry-run response plans for automated defense. Open-source, l…

    Python

  2. autotune-ai autotune-ai Public

    TypeScript

  3. Market-Oracle Market-Oracle Public

    AI-powered market interpretation engine that analyzes indices using technical indicators, multi-timeframe signals, and uncertainty-aware reasoning.

    TypeScript

  4. Netflix-Data-Analysis Netflix-Data-Analysis Public

    Exploratory Data Analysis of Netflix Movies and TV Shows

    Jupyter Notebook

  5. Resonance-Tunin-In Resonance-Tunin-In Public

    AI-powered DJ mixing app that analyzes track energy and beat patterns, streams recommendations from a Python backend, and drives a live browser-based frontend for interactive music playback and vis…

    JavaScript

  6. Retail-analytics-pro Retail-analytics-pro Public

    A Python & Streamlit–based analytics dashboard that automatically ingests retail sales data, normalizes schemas, and generates interactive insights including trends, product performance, forecastin…

    Python