I'm a Data Scientist from Pakistan with strong experience in Machine Learning, Natural Language Processing (NLP), and Big Data Analysis.
I enjoy transforming real-world data into insights and deployable AI solutions — from data scraping and preprocessing to model training, evaluation, and deployment.
- 🌱 Currently exploring Deep Learning, Apache Spark, and Production ML Pipelines
- 💬 Fluent in English, prefer Pashto, Urdu, Spanish for communication when requested
- 🧰 Skilled in end-to-end ML workflows, data pipelines, and web scraping
Data Science: Machine Learning, Deep Learning, NLP, Data Analysis, Data Wrangling, Visualization
Others: ML Model Deployment, Chatbots (Rasa), Web Scraping (Selenium), Backend (Flask), Big Data (Hadoop / Spark)
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Event Extraction (BERT + RAMS dataset) — Trigger detection and event-type classification
🔗 Event Extraction Repo -
AI’s Industrial Impacts & Policy Coverage (2014–2025) — News-based sentiment & policy analysis
🔗 AI Policy Coverage Repo -
Sentiment Analysis of Subreddits — Data collection and sentiment modeling
🔗 Subreddit Sentiment Repo -
Pashto Sentiment Analysis (ML + Web App) — SVM, Naive Bayes, Random Forest
🔗 Pashto Sentiment Repo -
Web Scrapers & Utilities — Instagram, LinkedIn, Reddit, Stocktwits, X (Twitter)
🔗 Web Scraping Repo
💡 See all my projects on: GitHub Profile →
- ✉️ Email: farhadmohmand22@gmail.com
- 📄 CV: View on Google Drive
- ☎️ WhatsApp: +92 346 9869529