Amey M.
United Kingdom
Rising Talent

Data Scientist at Credit Canary | Software Developer

I am Amey M. Mohite, a dedicated and enthusiastic Data Scientist with over three years of professional experience in both Data Science and Software Engineering. I hold a Master’s degree in Data Science with Distinction from Cardiff University, School of Mathematics, and a second Master’s degree in Data Science from NMIMS University, Mumbai, where I also graduated with Distinction. I completed my undergraduate studies with a Bachelor's degree in Information Technology from the University of Mumbai, graduating with Merit. Throughout my academic and professional journey, I have developed a robust skill set and deep expertise in various aspects of data science, machine learning, and software engineering. My technical acumen is complemented by my practical experience in cloud platforms, data analysis, model development, and full-stack application development. My proficiency in programming languages such as Python, R, SQL, ReactJs, Node, HTML, CSS, and Kotlin allows me to approach problems from multiple angles and create comprehensive solutions. In my current role as a Data Scientist at Credit Canary in the UK, I have successfully led several high-impact projects. These include the development of a comprehensive HMRC Data Fetch Application using Kotlin and React, which involved creating robust API authentication mechanisms and deploying the application on Azure Kubernetes Services (AKS). I also engineered a secure Node.js Webhook service handling over 10,000 POST requests per month, demonstrating my ability to manage data integration and processing efficiently. My work on classification models using Azure Databricks and PySpark improved the prediction accuracy of missed repayments, showcasing my expertise in machine learning and data engineering. Before joining Credit Canary, I worked as a Machine Learning Engineer at Vishwas Software in India. There, I spearheaded the design and implementation of the Unified Customer Analytics Platform, which significantly improved customer interaction metrics by over 30%. My role involved front-end development with React and Redux, back-end development with Python and Django, and managing a PostgreSQL database. I deployed applications via AWS Elastic Beanstalk and orchestrated a Docker and Jenkins-based CI/CD pipeline, achieving a 99.9% uptime and enhancing deployment efficiency. During my tenure as a Software Engineer at Morgan Stanley in India, I led the development of REVAS (Review Assistance System), a specialized software platform for Model Reviewers in Model Risk Management (MRM). This system optimized the Model Review process and integrated sophisticated statistical tools for data analysis and algorithm implementation. I created a secure user interface with React JS and an interactive dashboard using Python Dash & Plotly, contributing to a significant reduction in the time required for Reviewers. My experience extends beyond professional roles to include impactful projects. One such project involved the development of a personalized eCommerce website using Django and React. This application featured a comprehensive shopping cart, product reviews and ratings, and various other functionalities, all deployed on Azure and AWS. This project allowed me to hone my skills in full-stack development, cloud computing, and application deployment. I am an AWS Certified Machine Learning Specialist, with additional certifications in Python programming, SAS base programming, deep learning, and natural language processing from reputed platforms like Udemy and Coursera. My technical skills encompass a wide range of tools and libraries, including Scikit-Learn, Pandas, NumPy, SciPy, Keras, PyTorch, TensorFlow, hugging face Transformers, CoreNLP, NLTK, genism, spacy, LSTM, RNN, BERT, Tableau, ggplot, Matplotlib, Plotly, and Seaborn. I am proficient in managing databases such as Oracle, PostgreSQL, and MySQL, and operating systems including Windows and Linux. My journey has been marked by a strong motivation and a continuous drive to learn and innovate. I thrive in dynamic environments where I can apply my knowledge to solve complex problems and create value through data-driven insights and solutions. My background in data science and software engineering, coupled with my experience in cloud platforms and machine learning, positions me uniquely to tackle the challenges of today’s data-driven world. I am passionate about leveraging my skills to make a positive impact, whether it's through optimizing business processes, enhancing customer experiences, or driving technological advancements. My goal is to continue growing as a data scientist and engineer, contributing to innovative projects and collaborating with talented professionals to achieve excellence.


  • Python
  • Web Scraping
  • Kotlin
  • Machine Learning
  • Docker
  • Natural Language Processing
  • SQL
  • Git
  • PostgreSQL