Embedded Files
I make data make sense.
I am pursuing a Master of Business Analytics specializing in Data Science at La Trobe University, passionate about uncovering actionable insights from data. Proficient in Python, R, SQL, machine learning, NLP, and data warehousing, I specialize in predictive modeling and advanced analytics to drive strategic decision-making. My academic and project experience has equipped me with the skills to tackle complex datasets and deliver impactful solutions that bridge the gap between data and business strategy.
Outside of analytics, I channel my creativity as a drummer, where precision and rhythm are essential—qualities that also shape my analytical approach. Combining technical expertise with a creative mindset, I am driven to craft innovative solutions that empower organisations to transform raw data into meaningful outcomes.
EXPERIENCE
Data Analyst | June 2024 – July 2024
Precision Integration Consultants
• Conducted in-depth research and analysis of Western Australia's space industry, providing insights that improved market positioning by 20%.
• Collaborated on system integration projects to align data across platforms, enhancing inventory and operational processes.
• Presented detailed reports using advanced Excel and Power BI, driving informed business decisions for upper management.
Data Analyst Intern | February 2024 – April 2024
MeriSkill
• Developed a sales dashboard using Power BI, improving sales reporting accuracy by 10%.
• Worked closely with cross-departmental teams to integrate and analyze data from various sources, ensuring consistency.
• Applied market basket analysis techniques, leading to a sales increase of 12% by optimizing product bundling and identifying key sales drivers.
PROJECTS
You will love this one if you are a fan of cricket! Deep dive into the statistics of every bowl of ICC World Cup matches
Fighting Hunger, One Tweet at a Time! Uncover how the world talks about the UN’s Zero Hunger goal using powerful NLP techniques and data storytelling.
Dive into location-based profitability, inventory trends, and customer engagement using OLAP, MDX, and SSRS.
SKILLS
Data Analysis & Programming: SQL, Python, R Programming, Python Pandas, SAS Programming.
Database Management: DBeaver, MySQL, pgAdmin, Microsoft SQL, Visual Studio - Data Warehousing.
SAS Tools & Analytics: SAS Enterprise Miner, SAS Text Miner, SAS Visual Analytics, SAS Visual Statistics, SAS Sentiment Analysis, SAS Contextual Analysis, Predictive Modelling, Market Basket Analysis.
Data Visualization & Tools: Power BI, Tableau, SAS Viya, IBM Cognos Insight, MS Excel (Advanced), Microsoft Azure, Google Cloud Platform.
These are just the highlights of my work. Visit my LinkedIn page for more!
Google Sites
Report abuse