Lachlan Links | Data Science and AI Graduate

Lachlan Links

Data Science and AI Graduate

Based in Gold Coast, Australia

About

I am a data science and Ai graduate from Institute of Data and RMIT. I am very passionate about everything data, constantly learning and applying new technics learned as well as keeping up to date with new trends in the data world. I am familiar with many areas of data and like to expand my knowledge in each aspect to allow me to take on new challenges and tasks. I am experienced in handling data, creating monthly reports to provide to a client and performing time based ad hoc tasks through my role at work, While I have learned advanced/new data techniques and hard skills through my Data Science and Ai studies. Since graduating I have continued to learn and work on projects as well as apply my skills to my work role to increase performance.

Skills

Projects

Australian Victims of Crime Power Bi Report

Power Bi report on Australia Victims of Crime. Data from Australian Bureau of Statistic, wrangled and turned into an SQL database. Multiple queries ran to format data before inserting into a multi page Power Bi report. This project required a large amount of data wrangling.

Advanced Feature Analysis using CatBoost and SHAP for Multiclass Classification in Python (Plus Medium article)

Python project using CatBoost to create predictive models for a body performance dataset. SHAP was applied to show advanced ways of looking at feature importance. I turned this project into a Medium article explaining the power of CatBoost and SHAP together for advanced feature analysis.

Sentiment Analysis of Unlocked Amazon Mobile Phones

Institute of Data Capstone Project. Using python to perform sentiment analysis on reviews from unlocked Amazon mobile phones. Spacey, NLTK and beautiful soup were used in this project.

Binary Classification Using CatBoost to Determine Employee Attrition

Institute of Data Project. Binary classification of employee attrition using CatBoost model in Python. Data cleaning, EDA and multimodal performance comparison was performed. Hyperparameter tunning was applied and SHAP was used for advanced feature analysis.

Power Bi Dashboard for NYPD Historic Complaint Data

Power Bi dashboard with NYPD complaint data from 2006-2022. Large dataset 2.7gb, 8+ million rows. All cleaned and handled in Power Bi using power query.

Nike vs Adidas EDA in Python (Institute of Data Mini Project 1)

EDA exploring data between Nike and Adidas in Python using Plotly

Linear Regression to Predict House Prices in Python (Institute of Data Mini Project 2)

Institute of Data mini project 2. Using linear regression models to prediction house pricing in python with model comparison, cross validation and grid search.

Salary Dashboard in Tableau

Interactive dashboard in Tableau exploring worldwide salaries with ability to search each job and its salary.

Streaming Platforms Dashboard in Tableau

An interactive dashboard in tableau with data from the top streaming platforms combined into one dashboard with comparison between them and filterable information on each title. Data from each platform was merged and formatted using SQL.

Experience

2015-present

Carpark attendant/2IC

Carpark attendant turned 2IC role with duties in office management, monthly reporting and data analysis.

Education

2017-2021

Griffith University

Studying a Bachelors degree in Psychological Science

2022

Data Science and AI at RMIT

Joint course with RMIT and Institute of Data