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Adinath Ghadage

Adinath Ghadage

Machine Learning Researcher
Aberdeen, Aberdeen City

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About Adinath Ghadage:

Machine Learning PhD researcher at the University of Aberdeen, the United Kingdom with 5+ experience in both the industry and research settings. I have experience to solve business problems in multiple domains with a data-driven approach. Applied machine learning, and deep learning techniques using python and R. 

 

 

 

Experience

Founder/ Data Scientist 

MagnitudeAI Ltd, Aberdeen, UK

Nov 2021-Dec 2022 

I am the founder of  Aberdeen-based start-up company. My roles and responsibilities are the following:

Developing and maintaining a company’s vision, mission statement, and strategic plan. 

Setting up systems and procedures to ensure the company’s success over time. 

Reviewing financial statements and other reports to assess the company’s performance. 

Recruiting, hiring, training, coaching, and managing all company staff members. 

Identifying new opportunities for revenue growth, including new products or services that meet unmet needs in the marketplace. 

Communicating with employees about company goals, objectives, and policies. 

Evaluating new technologies and business practices to determine their potential impact on the company’s operations. 

Establishing and maintaining relationships with suppliers, contractors, partners, and other business contacts. 

Developing an effective marketing strategy to promote products or services offered by the company. 

Developed end-to-end machine learning prototypes and scaled them to run in production environments. 

Contributed meaningful improvements to existing machine learning models through carefully directed research.

 

 

 Research Programmer, University of Aberdeen, UK -Jun 2021 - Sep 2021 

I worked on a project called 'Individual Facial Biological Age Estimate for Healthy Aging.' 

This project aims to use an individual model combined with deep learning to predict chronological age using biological (e.g., facial features) measurements as covariates, and the predicted age is used to estimate facial biological age. 

End-to-end deep learning prototypes were created and scaled to run in real-world testing environments. 

Through careful research, I was able to make significant improvements to existing machine learning models. 

With minimal assistance, we extracted actionable insights from massive data sets. 

Contributed to collecting new data sources and refining existing ones to improve analysis and model development. 

Teaching Assistant, University of Aberdeen, UK, Sep 2019 - May 2022 

I worked as a teaching assistant for the courses Machine Learning and Data Mining, and Artificial Intelligence. I previously was a demonstrator for Knowledge-based Systems, Programming for Sciences and Engineering, Modelling and Problem Solving for Computing and Knowledge Representation and reasoning. 

Supervising and assessing individual and group-based student projects or dissertations, as well as contributing ideas and outline planning for student projects, providing feedback and guidance as needed. 

Providing teaching and assessment for practical classes (taught laboratory sessions) and tutorials/ examples classes, including online teaching. 

Assisting academic staff with student work assessment; Participating in administrative processes related to student education as needed. 

Working with our students as members of a learning community to provide world-class education and an exceptional student experience. 

Collaborating closely with colleagues within the School and the University to ensure effective student education delivery. 

Data Scientist, Technova Softwares, Pune, India, Apr 2017 - Apr 2018 

Applied algorithms and solve problems in multiple domains eg. manufacturing, and social network implemented supervised and unsupervised machine learning(ML) and deep learning techniques on large-scale structured and unstructured data. 

Worked on various individual projects in deep learning and machine learning. 

Perform research and get insight into market trends, and applications of ML and deep learning. 

Presented and participated in various seminars and workshops of ML. 

 

Education

Doctor of Philosophy - PhD, Computer Science, University of Aberdeen, Jan 2019-Dec 2022

Master’s Degree, Advanced Computer Science MSc, University of Leicester,  Jan 2015- July 2016

Bachelor’s Degree, Computer Science and Engineering, Solapur University, India, Aug 2011- June 2014

 

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