Data Analyst · Data Engineer · Fintech

Shahriar
Parvez Shaon

Turning data into decisions — with hands-on fintech experience at Nagad on mission-critical government integrations, and a builder’s habit of shipping predictive models and automated pipelines.

• Data Analysis
• Predictive Modeling
• ETL & Automation

01 / About

Who I Am

Computer Science graduate with hands-on fintech experience at Nagad, building data-driven systems from predictive models to automated pipelines.

I’m a graduate of Daffodil International University (GPA: 3.58), and a DataCamp-certified data analyst and data engineer. At Nagad, one of Bangladesh’s leading fintech companies, I contributed to mission-critical government integration projects — engagement, feasibility, solution design, and stakeholder management for sensitive beneficiary data.

My project work spans ETL pipelines, predictive modeling, and healthcare and financial data analysis, with a foundation in database engineering and business intelligence.

Beyond engineering, I’m a passionate educator. I oversaw the Malala Fund-backed SISGCA initiative, mentoring 600+ students across coastal Bangladesh in STEM, robotics, and AI, and I now coordinate the Bangladesh AI Olympiad, engaging 1,000+ students nationwide.

02 / Skills

Tools of the Trade

03 / Experience

Where I’ve Worked

• Orchestrated the full end-to-end project life cycle for government integrations, from engagement and requirements to deployment
• Central hub between external government entities and internal teams for seamless integration.
• Project kickoffs and stakeholder alignment to define scope, assess feasibility, and establish timelines for high-impact government projects.
• Assessed technical feasibility of external party requests with solution design, ensuring alignment with organizational capabilities.
• Managed technical relationships for mission-critical government stakeholders ensuring the security of sensitive benefi ciary data.
• Collaborated with R&D on prototypes and new integration approaches while managing secure government relation ships.

• Led end-to-end planning and execution of SISGCA (STEM & ICT Skills for the Girls of Coastal Area), a two-year international program funded by the Malala Fund and delivered in partnership with BdOSN, managing scope, timeline, and stakeholders across 6 school hubs.
• Directed cross-functional curriculum design and delivery (Robotics, Scratch, Python), coordinating instructors and schedules across 56+ workshops reaching 600+ students from underserved coastal communities.
• Owned resource allocation, procurement, and logistics planning, delivering 100% of training hubs equipped with smart devices and learning materials on time and within budget, meeting all program KPIs set by the Malala Fund.

04 / Leadership

Where I Lead

• Own end-to-end planning and delivery of the BdAIO, including regional and national rounds, engaging 1,000+ students and academic partners.
• Manage cross-functional coordination with professors and volunteers to develop problem sets and training content for competitions.
• Direct all operational aspects of competition events, from scheduling and logistics to technical execution and risk management

• Designed and launched national and regional Junior Science events, a key initiative that developed critical problem-solving skills for students.

• Orchestrated 10 Scratch programming workshops for young learners, fostering computational thinking skills.
• Cultivated a 30% surge in student participation in the regional Scratch Olympiad competition.

• Developed and adapted specialized STEM and ICT curricula (Programming, Robotics, Cybersecurity) for secondary school girls in coastal communities.

05 / Projects

Things I’ve Built

Secure, bilingual AI-powered chatbot for Nagad customer support, built with FastAPI and Google Gemini 2.5 for context-aware responses in English and Bangla.

Healthcare data analysis project identifying missing patient encounters between an EHR system and Normandy imports, investigating causes and improving data integrity.

Streamlit app predicting DSE stock prices with 94% accuracy using LSTM and linear regression models trained on 20,000+ data points.

Apache Airflow ETL pipeline that fetches daily weather data from the Open-Meteo API, transforms it, and stores it in PostgreSQL via Docker.

ML & deep learning model to identify malicious and vulnerable websites. Achieved 92% accuracy. Published at ResearchGate, November 2023.

Cybersecurity research project applying Random Forest, SVM, and LSTM for network intrusion detection. Supervised by Dr. Touhid Bhuiyan, Head of CS at DIU.

06 / Certifications

Credentials & Learning

🔗 Each card links to # as a placeholder — replace with your actual DataCamp/Databricks/Google credential verification URLs.

07 / Gallery

Field Stories

A glimpse into the ground-level work at Bangladesh Freedom Foundation — 56+ workshops, 600+ students, and countless moments of learning across coastal communities.

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08 / Contact

Let’s Connect

Open to data analyst, data engineer, and related opportunities. Let’s build something meaningful.