Mohammad Billah
Data Scientist
Älmhult, Kronoberg County, Sweden
Summary
👤
Senior🎓
Top SchoolMohammad Billah is a Data Scientist with 8 years of experience applying statistical rigor and machine learning to finance and retail challenges, currently building portfolio optimization and LLM-powered NLP solutions at IKEA. He holds an MSc in Applied Statistics and has deep IRB/credit-risk expertise from roles developing PD, LGD and EAD models across banking and fintech, plus hands-on experience with IFRS9, VaR/CVaR optimization and stress testing. Proficient in Python, R, SQL, PySpark and Databricks, he bridges modeling, data engineering and visualization to move prototypes into production. His work blends classical statistical methods (Bayesian approaches, discriminant analysis) with modern ML (random forests, neural nets) and optimization (Mixed-Integer Programming) to deliver measurable business impact. Comfortable presenting to stakeholders, he also has academic teaching experience in computational statistics, reflecting a knack for explaining complex methods clearly. Based in Älmhult, Sweden, he pairs a strong quantitative foundation with practical product-focused delivery across global retail and financial contexts.
8 years of coding experience
1 year of employment as a software developer
Master's degree, Applied Statistics, VG, Master's degree, Applied Statistics, VG at Örebro UniversityMaster of Science - MS, Statistics, B, Master of Science - MS, Statistics, B at Shahjalal University of Science and Technology
English, Swedish, Bengali
Stackoverflow
101reputation
3kreached
0answers
11questions
Github Skills (9)
machine-learning7
keras6
data-manipulation6
caffe6
bayesian6
deep-learning6
dplyr6
ensemble-learning6
dropout6
Programming languages (2)
Github contributions (5)
Contributions:34 commits, 29 pushes, 1 branch in 1 year 2 months
EhtashamBillah/Official-Statistics-Project-Tables
Oct 2018 - Oct 2018
Contributions:50 pushes, 1 branch in 5 days
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