Hi, I'm Jahid Hasan. As an experienced Data
Scientist and ML Engineer with 6+ years of professional experience,
I have a strong background in building machine learning models,
scalable data pipelines, and production-ready ML systems. I am a
Kaggle Grandmaster, placing me in the top 0.1% of data scientists
globally, reaching that level in just 6 months by publishing over 20
highly ranked notebooks covering credit risk, healthcare, and clean
energy. Currently completing my
MS in Data Science at Eastern University with a
4.00 GPA, expected May 2026.
At Ludwig Pfeiffer, I built automated reporting
pipelines that cut generation time by 60%, deployed production-grade
REST APIs for ML models using Django REST Framework, and designed
computer vision systems for automated pipeline inspection. I also
built database management systems handling 100K+ records in MySQL
and PostgreSQL and implemented Microsoft Power Apps and Power
Automate solutions that improved process efficiency by 40%.
At TAPPWARE Solutions, I built e-governance data
pipelines processing 500K+ records daily at 99.9% accuracy and
deployed personalized recommendation models achieving 85%+ accuracy
for a government e-learning platform. I worked with large-scale
datasets, applied NLP and word embedding techniques, and built
scalable REST APIs to serve model predictions in real time using
Django REST Framework and PostgreSQL.
At Qtec Solutions, I developed and fine-tuned
sentiment analysis models achieving 82% accuracy for marketing
strategy optimization, built automated web scraping pipelines using
Python and BeautifulSoup, and designed data warehousing solutions
using dimensional modeling and ETL processes. I applied
classification, regression, clustering, and ensemble methods to
generate business insights from large-scale datasets.
Beyond my professional work, I published peer-reviewed research at
CLEF 2025 on cross-lingual subjectivity detection using multilingual
transformers. I write on Medium with 13 published articles on Python
and data visualization, maintain an open source R and ggplot2 theme
on CRAN with 1,200+ downloads, and am writing
Data Science Mastery: From Fundamentals to Professional
Practice, a 45 chapter book covering statistics, probability, machine
learning, and real world applications.
