Thesis on machine learning with an applied focus on business impact and model interpretability. Expected graduation December 2025.
Prasenjit Das
Senior BI Analyst & Data Engineer • Promoting Secure, Sustainable, and Ethical AI
Meaningful AI starts with a robust data foundation. I bridge the gap between complex data systems and clear analytics to build AI solutions that are secure, sustainable, and ready for the real world.
Interests
What I explore and bring into solutions.
Data Modeling
ETL & Orchestration (Airflow/ODI/SSIS)
SQL & Performance Tuning
Tableau & Power BI
Responsible AI
Computer Vision
MLOps
Sustainable Analytics
Automation
Explainable AI
Ethical AI
Big Data
I am actively seeking research and innovation opportunities at the intersection of Ethical AI, Data Science, and Big Data with a focus on interpretability, fairness, and building robust, scalable systems. My goal is to develop solutions that uphold academic rigor while meeting the practical demands of high‑stakes, real‑world applications. I aim to work collaboratively with faculty, researchers, and industry leaders on transparent models, bias mitigation, and human‑centered decision support. By turning data into actionable, trustworthy intelligence, I seek to drive both scholarly advancement and measurable business impact.
Education
Thesis: Machine Learning & Black Swan Events (Supervisor: Prof. Mahbubul Alam Majumdar).
Experience
Associate Manager, Data Analytics & Engineering
- Led the integration of Oracle Data Integrator (ODI) to replace legacy ETL and improve efficiency.
- Built a near real-time Campaign Management Tool (CMT) for reward points/cashback and live monitoring.
- Develop and maintain ETL pipelines from CBS, IRIS, CARDPRO, FSS, CyberSource, UBA, etc.
- Develop Power BI dashboards with RLS and maintain the server for data-driven BI.
Business Intelligence Analyst
- Defined KPIs and delivered actionable insights with Tableau and BigQuery-based analysis.
- Analyzed high-volume datasets to inform decisions and improve campaign effectiveness.
- Generated data-driven recommendations supporting operational growth.
Senior Software Engineer
- Led a team building Raspberry ERP for fertilizer companies—warehouse, inventory, audit, supply chain.
- Designed and optimized ETL with MS SQL Server and SSIS; performance-tuned T-SQL.
Software Engineer
- Developed ERP solutions for Indian fertilizer companies, optimizing business processes.
- Written clean, well-documented, and maintainable code using JavaScript, Angular, jQuery, .NET Core, C#, SQL Server.
- Developed and managed RESTful APIs to facilitate seamless integration and data exchange.
- Developed and maintained ETL processes using MS SQL Server and SSIS to ensure accurate and efficient data handling.
- Created comprehensive summaries, reports, and dashboards, providing valuable insights and data visualization.
- Collaborated with stakeholders to gather requirements and deliver solutions that meet business objectives.
Awards & Achievements
Solving business problems using Big Data, Machine Learning, and Data Science tools and techniques.
Assessed broad IT skills across algorithms, networking, databases, security, and more.
Project: Able — A complete learning solution for visually impaired learners.
Training & Workshops
LICT TOP-UP IT Training for Java
Java Core, J2EE, JavaFX, Servlet, WebSocket, JDBC, REST, JSON, XML.
About: National capacity-building program emphasizing enterprise Java development and deployment best practices.
Training on Software Development Lifecycle — Kovair Software Inc.
SDLC, Requirements Engineering, System Design & Analysis.
About: Hands-on workshops covering end-to-end lifecycle with tooling for traceability and governance.
Certifications & Online Courses
Google Data Analytics (8 Courses)
Deep Learning Specialization (5 Courses)
Introduction to Big Data and Hadoop
Amateur Radio Service Examination
Introduction to Git and GitHub
HTML, CSS, and JavaScript for Web Developers
Introduction to Apache Airflow in Python
AT&T Summer Learning Academy Extern
Extra Curricular & Volunteering
Data Entry Operator for Bangladesh Chars Tobacco Assessment Project (CTAP).
In the chars of Gaibandha in Northern Bangladesh, the CTAP is a comprehensive survey that provides detailed information on tobacco consumption and perception, as well as a comprehensive overview of the socio-economic conditions of households in the area. This project was funded by the Bangladesh Center for Communication Programs (BCCP) as part of the Johns Hopkins Bloomberg Initiative and BRAC University.
Contact
Let’s work together
For AI/BI projects, data infrastructure, advisory, or speaking—reach out. I respond within 1–2 business days.
- Email: prasenjit9619@gmail.com
- Phone: +880 1725-042634
- Location: Dhaka Division, Bangladesh