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Ramesh Rawal

Available to hire

Hi, I’m Ramesh Rawal, a data scientist and machine learning engineer based in Brisbane, Australia.

About

Hi, I’m Ramesh Rawal, a data scientist and machine learning engineer based in Brisbane, Australia. I bring 5+ years of experience delivering end-to-end AI, ML, and analytics solutions across retail, food, and technology sectors. I’m proficient in time-series forecasting, recommender systems, computer vision, and chatbot development, and I’m open to part-time, contract, or remote roles.

I excel at translating business needs into scalable, data-driven products that improve operational efficiency and decision-making. Based in Brisbane, I love collaborating with stakeholders to turn messy data into clear insights and engaging user experiences, helping teams move from insight to impact with practical ML solutions.

  • 6 years' experience
  • Joined December 2025

Languages

  • EnglishFluent

Industry experience

  • Retail
  • Software & Internet
  • Professional Services

More experts in Brisbane, Australia

Work experience

Data Scientist / Machine Learning Engineer · TECHJAR Pvt. Ltd.Dec 2022 – Mar 2025 · 2 yrs 4 mos

Led end-to-end ML lifecycle including data preprocessing, modeling, evaluation, and A/B testing. Developed and deployed an AI-powered restaurant chatbot for the Appetite UK mobile app using the ChatGPT API and vector embeddings, boosting in-app engagement and reducing navigation time by 35%. Built a hybrid KNN + reinforcement learning recommendation engine to handle sparse user profiles, increasing upsell conversions by 20%. Designed automated mobile app engagement analytics, improving session duration by 12% and enabling data-driven product optimization.

Data Scientist / ML Engineer · Ekbana Solutions Pvt. Ltd.Jun 2018 – Nov 2022 · 4 yrs 6 mos

Designed and deployed ML/DL pipelines for a Big Market Retail Store (large supermarket chain), improving sales forecasting accuracy and customer segmentation outcomes. Delivered Python-based BI and retail analytics influencing pricing, promotions, and inventory optimization strategies. Built customer segmentation and sales analytics systems that improved targeted marketing effectiveness by 18%. Conducted GIS-based supply chain and warehouse routing optimization, reducing logistics inefficiencies.

Education

Master of Data Science · Queensland University of Technology (QUT), Brisbane, Australia2025
Bachelor of Science in Computer Science & Information Technology (BSc.CSIT) · Orchid International College, Kathmandu, Nepal2030 – 2019

Certifications and awards

Machine Learning with Python: From Linear Models to Deep Learning2030 – 2025

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