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Prajit Raj Adhikari

@prajitrajadhikari

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Industrial engineer specializing in operations research, data-driven optimization, and AI.

Nepal

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What I'm looking for

I seek roles applying operations research, data science, or ML to real-world systems where I can build optimization solutions, work cross-functionally, and deliver measurable efficiency and ROI improvements.

I am an industrial engineer with a strong foundation in operations research, data analysis, and optimization, graduating in April 2024 from Thapathali Campus, Institute of Engineering (Top 5% of the class).

I have applied quantitative methods to real-world problems, from developing mean-reversion and momentum trading strategies to building OptiWaste, a decision-support system for waste management that used clustering and route optimization.

My practical experience spans NLP model deployment on Azure, SQL/BI development, GIS-based routing optimization, prototype engineering with SolidWorks/Fusion 360, and ERP-integrated waste plant design. I deliver measurable improvements—system efficiency, ROI, query performance, and operational cost reductions.

I teach and mentor widely in mathematics and modeling, organized national competitions, and hold publication and conference experience; I bring technical depth, cross-disciplinary collaboration, and a demonstrated record of driving impact.

Experience

Work history, roles, and key accomplishments

Current

NLP Researcher & SQL/BI Developer

Current

Gavie AI & CloudProAI

Jul 2024 - Present (1 year 3 months)

Built and deployed NLP models on Azure to optimize CRM processes, reducing data processing time by 20% and improved client engagement; streamlined SQL databases and developed BI reports, cutting query time by 25%.

NLP Azure SQL BI Reporting Python Performance Optimization Power BI

Quantitative Researcher

Private Family Office

Feb 2024 - Apr 2024 (2 months)

Conducted research on mean reversion and momentum trading strategies, increasing system efficiency by 15% and improving strategy ROI by 3% through data-driven backtesting and optimization.

Time Series Analysis Python Risk Management Statistical Analysis

Operations Research Engineer

Lalitpur Metropolitan Government

Jan 2024 - Apr 2024 (3 months)

Optimized waste transshipment routes and designed waste segregation plants using Python and GIS, improving cost-effectiveness and informing policy via statistical analysis.

Python GIS Statistical Analysis Waste Management ERP Integration

Education

Degrees, certifications, and relevant coursework

Thapathali Campus, Institute of Engineering, Tribhuvan University

Bachelor of Engineering, Industrial Engineering

Grade: 78.85/100

Activities and societies: Relevant coursework, research projects (OptiWaste), teaching and tutoring, national math competitions, scholarship recipient

Completed a Bachelor of Engineering in Industrial Engineering with top 5% class rank and a final score of 78.85/100; relevant coursework included statistics, operations research, supply chain management, and numerical methods with MATLAB.