Data Science · AI/ML · Venture Capital · Quality Systems
Sashiraj Subedi is a data analyst and project strategist with hands-on experience in Python, machine learning, Power BI, and ISO quality systems — building ventures and data products that turn raw information into measurable outcomes.
Competency Stack
Applied Work
Venture Portfolio
Experience
Owns ISO 9001 (QMS) and ISO 22000 (FSMS) compliance at a production-scale dairy facility. Runs daily quality inspections, manages regulatory documentation, and leads root-cause investigations on production deviations — building a systematic approach to data collection, process validation, and corrective action that directly informs ML data pipeline design and rigorous analytical work.
Delivers end-to-end analytical engagements using Python (Pandas, NumPy, Scikit-learn), SQL, Power BI, and Google Analytics — from raw data ingestion through to client-facing insight reports. Concurrently develops applied ML skills through self-initiated projects and Google certifications, alongside market viability analysis and strategic planning for growth-stage businesses.
Executed structured field data collection for Nepal's National Population and Housing Census 2021 under CBS methodology. Managed confidential demographic records with strict data integrity protocols — direct experience in large-scale, high-stakes data operations.
Coordinated cross-team project planning and delivery across active construction operations — developing core competencies in resource scheduling, stakeholder alignment, and structured execution that underpin current project and venture management work.
Education
Science programme covering probability theory, statistical inference, biological systems modelling, and quantitative analysis — the mathematical core that underpins applied machine learning, predictive modeling, and data-driven decision systems.
Dual-stream foundation in biological systems and applied mathematics — developing the quantitative reasoning and systems thinking that drives current work across data analysis, ML experimentation, and venture feasibility assessment.
Academic Research
The Thinking Behind the Work
Get in Touch
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