My name is Tapash Sutradhar.
I'm a Data Engineer | Data Scientist | Software Engineer
I build scalable data platforms, machine learning systems, and production-grade software that solve real business problems.
πΉ Python | Java | R | SQL | Airflow | Kafka | AWS | Power BI | Excel | Tableau | Machine Learning ML | Artificial Intelligence (AI)
πΉ Experience across Data Engineering, ML, Analytics, and Backend Systems
πΉ Passionate about automation, scalability, data-driven decision making and business problem solving using ai
I specialize in:
β Data Science / Data Analysis and Visualization
β Machine Learning and NLP
β Programming Language (Java,Python, R)
β Data Cleaning & Preparation
β AI Business Management
β Business Insights, Data storytelling & Reporting
β Artificial Intelligence
- Design and build end-to-end data pipelines (batch + real-time)
- Develop ML models for risk, forecasting, and decision support
- Create executive analytics dashboards for business leaders
- Build reliable backend and system-level software
- Automated ML Data Pipelines (Airflow) β Production-grade ETL for ML workflows
- Real-Time Data Engineering Pipeline β Kafka + AWS streaming system
- Loan Default Risk Modeling β ML-driven credit risk analytics
- E-Commerce Demand Forecasting β Large-scale time-series forecasting
- HR Analytics Dashboard (Power BI) β Executive workforce insights
- Linux System Resource Monitor (C++) β OS-level performance monitoring
# GitHub Repo Index :β
# tapashsutradhar-github-repository
ββ portfolio
β ββ personal-website
ββ data-analyst-portfolio
β ββ amazon_sales_report_python
β ββ e-commerce_bi_dashboard
β ββ retail_sales_data_analysis
β ββ retail_data_analytics-end-to-end
β ββ data-analyst-capstone-project
β ββ bank_loan_default_risk_analysis
ββ ai-machine-learning-projects
β ββ ai_agent_qa_forecast
ββ embidded-system-automation-electrical
β ββ projects
β ββ E-Bicycle_Speed_Controller
β ββ Electrical_Load_Power_Calculator
β ββ Solar-Battery_System_Development
ββ resources
ββ roadmap
ββ documentsI focus on business impact, not just models or code:
- Reduced manual data processing by 70%
- Improved inventory planning accuracy by 30%
- Reduced loan default risk by 35%
- Enabled real-time analytics and ML workflows
π« Letβs connect
- LinkedIn: LinkedIn
- Email: [email protected]
- Portfolio