Graduate Student pursuing Masters in Software Engineering with specialisation in AI from Western University, London, Ontario . I am a machine learning enthusiast and I am passionate to learn and implement advanced concepts in the field of ML and AI.
Currently working on a project to Detect defects in 3D Printing using Computer Vision/AI under the supervision of Dr. Joshua Pearce.
5+ years of professional experience in the software industry. Worked in the retail and pharmaceutical domains for clients like TJX and Merck.
Skills
Programming Languages: Python, Java, C, C++, JavaScript-ES6, HTML-CSS
Data Science Frameworks: TensorFlow, Keras, Pandas, NumPy, Scikit-learn, Matplotlib, seaborn
Database: Oracle SQL, PL/SQL, Postgres, MySQL, Apache Druid, Superset, MongoDB, Databricks
Web Application-NodeJs, Express, D3, jQuery
Tools: Git, SQL Developer, pgadmin, MATLAB, Jupyter, Google Colab, Sublime Text, MS Office, JIRA, Service Now, Tricentis Tosca
Cloud- AWS, Oracle Cloud Infrastructure
SDLC Model- Waterfall, Agile, Scrum
Academic Projects
Loan Prediction using Machine Learning (Dec 2021)
• Cleaned, analyzed the dataset using google colab notebook to explore the factors that influence Loan amount.
• Trained tree-based supervised machine learning models like Decision Trees, Gradient Boost, and Random Forest, to predict the Loan Sanction amount and utilized feature importance to identify the most important parameters contributing to the loan amount thereby providing the banks an efficient and faster tool to calculate the loan amount.
Technologies and Tools: Python, Numpy, Scikit-learn, Keras, Pandas
Telecom Subscribers Data Analytics (Dec 2021)
• Designed physical, conceptual and logical model to create an operational database system consisting of 8 different entities based on business rules for a telecom company.
• Developed materialized cubes of data to find the busiest time of the day, most frequent users, coupon usage for every province by creating a data warehousing architecture using ETL elements and visualization tools.
• Predicted the coupon usage for a new customer based on several independent variables using Linear Regression Model with an R2 score of 70, utilizing the data pipeline developed in the data warehouse system.
Technologies and Tools: Python, Scikit-learn, Spark ML, Databricks, Apache Druid, PostgresSQL, Superset, Airflow
Programming Languages Popularity Visualization (Dec 2021)
• Developed an interactive server-side single-page application using Nodejs, displaying the popularity of programming languages over the past 12 years on the StackOverflow website.
• Used JSON file to upload the data and utilized D3 visualization to create a dynamic bar chart for every programming language’s popularity from years 2008 to 2020
Technologies and Tools: JavaScript, D3, NodeJS, Express, HTML, CSS, Sublime Text
Sketch Pad Application (Aug 2021)
• Developed a drawing app using Canvas JavaScript API following the HCI software design principles and designed state charts and object diagrams representing the functionalities and software architecture.
Technologies and Tools: HTML, CSS, JavaScript, Canvas API,Sublime Text