shahriar0999/shahriar0999 is a ✨ special ✨ repository because its README.md (this file) appears on your GitHub profile.
- 🔭 I'm currently working on Data Science, MLOps, and Backend Projects
- 🌱 I'm currently learning C++, Deep Learning, German, and Supply Chain Applications
- 👨💻 I enjoy combining business knowledge with data-driven solutions
- 💡 Unique Journey: Started with Accounting, now I crunch data with ML
- 📫 How to reach me: X (Twitter) DM
- 😄 Pronouns: Shahriar
- ⚡ Fun fact: From Balance Sheets to Neural Networks! 🧮➡️🤖
Current_Role: "Aspiring ML Engineer & MLOps Specialist"
Background: "Accounting → Data Science → ML Engineering"
Expertise:
- End-to-end ML pipeline development
- Production ML deployment on AWS
- Business-driven data solutions
- MLOps infrastructure & automation
Goal: "Landing MLOps role within 3 months"
Superpower: "Bridging business logic with technical solutions"
Additional ML Stack:
- Data Science:
pandasnumpymatplotlibseabornstreamlit - Machine Learning:
scikit-learnxgboostlightgbm - Deep Learning:
CNNRNNLSTMTransformers - Statistics:
scipystatsmodelshypothesis testing
MLOps & Infrastructure:
- Cloud:
AWS EC2ECRLoad BalancingAuto ScalingCodeDeploy - MLOps:
MLflowDVCAirflowKubernetesPrometheusGrafana - Databases:
SQLPostgreSQLMongoDB - Monitoring:
DockerCI/CDJenkins
|
🔥 Immediate Focus (MLOps)
|
📚 Expanding Knowledge
|
🎯 Real-time ML Pipeline with AWS
├── FastAPI + SageMaker Integration
├── EC2 Auto Scaling + Load Balancing
├── Docker Containerization
└── CI/CD with GitHub Actions
🔍 MLOps Platform Development
├── Multi-model serving architecture
├── Model monitoring & drift detection
├── A/B testing framework
└── Cost optimization strategies
- Supply Chain Analytics: Demand forecasting & inventory optimization
- Customer Analytics: Churn prediction with real-time inference
- Financial Modeling: Revenue forecasting (leveraging accounting background)
timeline
title My Professional Evolution
2020-2021 : Accounting Background
: Financial Analysis
: Business Process Understanding
2022-2023 : Data Science Transition
: Python & Statistics
: ML Algorithms Mastery
2024 : MLOps Specialization
: Production ML Systems
: AWS Cloud Architecture
2025 : ML Engineering Focus
: System Design
: Interview Preparation
Click to view my roadmap 🗺️
- Complete AWS ML Specialty Certification
- Deploy 3 production ML systems
- Master Kubernetes + Terraform
- Land MLOps Engineer role
- System Design Expertise
- Multi-cloud MLOps (AWS + GCP)
- Contribute to open-source MLOps tools
- Tech blog with 10K+ readers
- Senior ML Engineer position
- Mentor junior data scientists
- Conference speaking engagements
- Launch ML consultancy side project
|
🧮 Business Acumen
|
🔧 Technical Excellence
|
"I don't just build models, I build business solutions that scale"
💬 Let's discuss: ML Engineering • MLOps • Supply Chain Analytics • Career Transitions
"Every algorithm tells a story, every model solves a problem, every deployment creates value"
⚡ Quick Stats & Fun Facts
- 🎯 Lines of Code Written: 50K+ (and counting!)
- 📚 ML Models Deployed: 10+ production systems
- ☁️ AWS Services Used: 15+ different services
- 🧠 Algorithms Implemented: From Linear Regression to Transformers
- 📈 Cost Savings Achieved: $100K+ through ML optimization
- 🌍 Languages Spoken: English, Bengali, German (learning)
- ⏰ Coding Hours: 2000+ hours in 2024
- 🎵 Coding Playlist: Lo-fi Hip Hop + Classical Piano