Uday S Ravidas

@udaysrbl

Combinatorial Optimization, Operations Research, Predictive Modeling, Python

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Anglais
Certaines informations sont présentées en anglais.
À propos de moi
I specialize in Combinatorial Optimization, Operations Research, Predictive Modeling, and Python. ✔ Combinatorial Optimization: Scheduling, routing, and resource allocation. ✔ Operations Research: Mathematical modeling and decision optimization. ✔ Predictive Modeling: Forecasting, statistical analysis, and machine learning. ✔ Python: Optimization algorithms, simulations, and data analysis. I develop data-driven solutions to solve complex problems, optimize resources, reduce costs, and improve business decisions.... Plus d’infos

Compétences

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udaysrbl
Uday S Ravidas
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Voir mes services

Machine learning
I will solve combinatorial optimization and operations research problems using python
De90 $US / projetPlus de détails
Mise au point du modèle d'IA
I will build predictive models and perform statistical analysis using python
De30 $US / projetPlus de détails

Portfolio

Expérience professionnelle

Blackcoffer

Statistician

Blackcoffer • Freelance

Dec 2024 - Present • 1 yr 10 mos

Role: Statistician | Statistical Analysis & Predictive Modeling Worked as a Statistician specializing in statistical analysis, predictive modeling, Operations Research, and Combinatorial Optimization. Applied regression analysis, hypothesis testing, forecasting, and mathematical modeling to solve complex business problems and support data-driven decision-making. Used Python for data analysis, statistical computing, model development, and process automation. Analyzed large datasets to identify trends, evaluate performance, optimize resource allocation, and generate actionable insights. Developed predictive models and optimization algorithms to improve operational efficiency, reduce costs, and support strategic planning.

Netclan_Inc

Research Optimization Associate

Netclan Inc • Freelance

Dec 2015 - Jul 2024 • 8 yrs 7 mos

Achieved measurable improvements in research efficiency and decision-making as a Research Optimization Associate by applying Operations Research, Combinatorial Optimization, statistical modeling, and predictive analytics to complex problems. Developed mathematical models and Python-based algorithms for resource allocation, scheduling, and optimization. Conducted data-driven research, evaluated alternative strategies, and identified optimal solutions under practical constraints. Automated analytical workflows, improved computational efficiency, and translated research findings into actionable insights to support strategic planning and operational performance.