ABOUT

With a strong academic foundation in Biotechnology and Chemistry, including an Honours Bachelor of Science from the University of Toronto, I have transitioned from the world of laboratory work to the dynamic field of data science. My journey continued with specialized training in data science through the Data Science bootcamp at BrainStation, where I honed my skills in a wide range of data-related disciplines.

Ingredients I Bring to the Table:

• Programming Languages: Python, SQL, R, HTML & CSS, JS
• Data Analysis: SQL (Self-joins, Window Functions, Parameters), Excel (VLookup, Conditional Formatting, Pivot Tables Power Query and data validation)
• Packages: NumPy, Pandas, Matplotlib, Seaborn, SciPy, ggplot2, Scikit-learn, TensorFlow, Keras, PyTorch
• Software Tools: Tableau, Power BI, Data Build Tool, Git, MS Office, Latex, Jira, Docker, PySpark, Google Analytics, SAS
• IDEs: Jupyter Notebook, PyCharm, Google Colab, R studio, Visual Studio Code, Kaggle
• Big Data: AWS (EC2, S3), Hadoop, Hive, Apache Spark
• Data Engineering: Data Pipelines, ETL processes, Data Warehousing
• Data Warehouse: MySQL, Snowflake
• Deployment: Streamlit (Interactive Web Apps)
• Methodologies: Agile, Scrum, Kanban, Waterfall
• Operating System: Windows, Linux, Unix

A Peek Behind the Kitchen:

Beyond my data-drenched pursuits, I'm on a mission to demystify open-source, engineer tech that empowers, and weave a close-knit community. With a hunger for learning, I'm always enthusiastic about broadening my skill set and advancing in my journey as a data professional.

Creative Culinary Creations:

When I'm not lost in coding recipes, you'll often find me in the kitchen, experimenting with culinary creations. I have a passion for cooking, and my culinary adventures extend beyond coding. I love to whip up both algorithms and crème brûlée, exploring the intersection of data science and gastronomy.

PROJECTS

Recipe Recommender

This project aims to create a personalized recipe recommendation system, catering to users' individual preferences and dietary needs. Leveraging advanced data science techniques like Word2Vec, Word Embeddings Neural Network, TF-IDF, and FunkSVD, the system provides users with enticing and relevant recipe suggestions, inspiring culinary creativity.

Whether you're looking for a quick weeknight meal or aiming to impress with a gourmet creation, this Recipe Recommender is your sous chef in the digital world. Experience the ease of finding recipes that match your cravings and preferences like never before! Try it out here, or navigate to the Git repo!

CovidVaxTracker

The COVID-19 pandemic has prompted a global effort to develop and distribute vaccines to protect people against the virus. This visualization provides a comprehensive overview of the vaccination progress across the world by tracking the percentage of the population vaccinated in each country, along with other relevant data such as the number of doses administered, vaccine types, and the timeline of the vaccination campaign. This powerful visualization allows viewers to understand the global impact of the COVID-19 vaccine rollout and helps to identify the countries that are leading the way in vaccinating their populations. By presenting this data in an accessible and easy-to-understand format, this visualization can help to inform and inspire the public to take action and support the ongoing efforts to end the pandemic.

Check out the Git repo here!

InstaCart Online Grocery Market Basket Analysis

The modern world of e-commerce has revolutionized the way consumers shop for everyday essentials. With the increasing reliance on online platforms for grocery shopping, understanding customer preferences, purchasing patterns, and product associations has become essential for both retailers and data scientists.

By undertaking this project, I aim to extract valuable insights from the dataset that can benefit both Instacart as a service provider and consumers looking for a more convenient shopping experience. Through data-driven analysis, we can uncover hidden patterns, identify trends, and develop data-driven strategies for optimizing the shopping journey.

Stay up-to-date with my progress here!

More projects underway...

Let's get in touch!