A results-driven individual with experience in Data Analysis, Data Science, and development.
Overview
2
2
years of professional experience
Work History
Data Science Research Assistant
Seneca College
03.2023 - Current
Collaborate with Professor and industry partner, RealMaster, on Seneca applied research project
Utilize regression, classification, clustering algorithms, and LSTM.
Use Github, Gitbucket platforms to track and manage project progress
Collaborated with business partners to understand business objectives.
Developed and established strong business relationships with both internal personnel and external solution providers.
Data Science Intern
INeuron
02.2023 - Current
Leading a team of interns to develop project from inception to completion, ensuring high-quality deliverables and timely execution
Implementing effective project management methodologies, tools, and techniques to plan, schedule, and monitor project activities and deliverables
Deploying machine learning models using cloud platform Azure to enable scalable, secure, and cost-effective deployment and management of the solution.
Data Science Apprenticeship
Almabetter
06.2022 - 01.2023
Collaborating with senior data scientists and subject matter experts.
Developing and implementing robust data validation and cleaning procedures using enterprise tools and programming languages such as Python, SQL, and Alteryx
Designing and training various machine learning, statistical, and predictive models to solve complex business problems and improve product performance.
Data Analyst Virtual Intern
KPMG
08.2022 - 10.2022
Conducted comprehensive data analysis, profiling, and cleansing using various tools and technologies, such as Excel, Python, or Alteryx, to identify issues and gaps and enhance data quality
Prepared a detailed and actionable report outlining the project objectives, methodology, findings, recommendations, and next steps, tailored to the client's needs and expectations.
Developer
Tata Consultancy Services
10.2020 - 02.2022
Contributed to the development of a vehicle information management application using Java and SQL, by developing new functionalities and enhancing existing ones.
Effectively utilized ticketing tools, version control systems, and deployment tools to ensure efficient project management
Worked collaboratively with cross-functional teams in an Agile development environment, participating in the entire software development life cycle to deliver high-quality software solutions.
Credit Card Default Prediction: - Developed a model to predict the likelihood of customers defaulting on their payments using a dataset of credit card information and achieved predictive accuracy of over 90%
Start-ups profit prediction: - Built a prediction model that can predict profit with an accuracy of up to 95% using a dataset of past information related to startups.