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sifat monthaSM
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sifat montha

@sifatmontha

I build data pipelines, predictive models, and AI-powered backend systems for scalable products.

Bangladesh
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What I'm looking for

I'm looking to build production-grade backend systems and AI-powered SaaS products, applying my data engineering and machine learning background with NestJS, TypeScript, APIs, and LLM integrations.

At Pocket e-Wallet, I built and maintained SQL and Python data pipelines for 1M+ transactional records, created KPI dashboards in Tableau and Power BI, and automated weekly reporting to save 20 hours per month. My churn models improved customer retention by 10%, while transaction analysis helped raise conversion rates by 15%.

I'm now building production-oriented NestJS APIs, PostgreSQL and Prisma data models, Redis and BullMQ background jobs, and OpenAI-powered RAG workflows with pgvector. I bring hands-on data engineering and machine learning experience to teams building AI-powered SaaS products.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

DeepLearning.AI logoDE

DeepLearning.AI

Specialization, Machine Learning

Machine Learning Specialization from DeepLearning.AI, completed in 2023.

Coursera logoCO

Coursera

Professional Certificate, Data Analytics

Google Data Analytics Professional Certificate from Coursera, completed in 2022.

North South University logoNU

North South University

Bachelor of Science, Computer Science & Engineering

2015 - 2022

Grade: 2.50/4.00

B.Sc. in Computer Science & Engineering from North South University, Dhaka, Bangladesh, from 2015 to 2022. CGPA: 2.50/4.00.

SC

Saint Joseph College

Higher Secondary Certificate, General

Grade: 5.00/5.00

Higher Secondary Certificate (HSC) from Saint Joseph College, Dhaka, Bangladesh, completed in 2013. GPA: 5.00/5.00.

NS

Noakhali Zilla School

Secondary School Certificate, General

Grade: 5.00/5.00

Secondary School Certificate (SSC) from Noakhali Zilla School, Noakhali, Bangladesh, completed in 2011. GPA: 5.00/5.00.

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