Motivated data science professional with expertise in data analytics, quality control, machine learning, and statistical modeling. Skilled in delivering data-driven insights, ensuring data accuracy, and enhancing business outcomes. Proficient in Python, R, SQL, and data visualization tools, with experience in quality-checking datasets, developing machine learning models, and implementing data pipelines to support organizational goals. Committed to continuous learning and innovation in the field of data science.
Python
R
Databricks, Azure, Snowflake
Tableau, Excel
Data Quality, Machine Learning, Data Visualization
Leadership, Problem Solving, Communication
University of Technology Sydney (UTS) | March 2024 – May 2024
● Devised a personalized food recommendation app with machine learning algorithms.
● Utilized Python and scikit-learn for data analysis and recommendation models, achieving high user satisfaction rates.
2. Building ELT Data PipelinesUniversity of Technology Sydney (UTS) | October 2023 – November 2023
● Created and managed data pipelines using Apache Airflow to ensure efficient data processing and transformation.
● Performed data cleaning, transformation, and storage in data warehouses for analytics purposes.
3. Big Data Processing with DatabricksUniversity of Technology Sydney (UTS) | September 2023 – October 2023
● Examined a large dataset and trained a regression model leveraging Databricks and Spark.
● Processed and transformed data to gain insights and build predictive models.
4. Data Lakehouse Analysis with SnowflakeUniversity of Technology Sydney (UTS) | August 2023 – September 2023
● Assessed and visualized datasets using Snowflake, SQL, and cloud platforms (Azure) to perform data ingestion and transformation.
5. Applied Natural Language Processing (ANLP) ProjectUniversity of Technology Sydney (UTS) | April 2023 – May 2023
● Devised an end-to-end NLP project involving data acquisition, model training, and evaluation.
● Collaborated with a team to create an NLP pipeline using machine learning and deep learning techniques with tools such as Python, NLTK, and TensorFlow.
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