Experience

April 2024 - Present Data Scientist-Gen AI at ATS Resume LLM App

– Successfully achieved a 50% improvement in resume match
rates for job applications through expanding the training
dataset to include a more diverse range of resumes and job
descriptions, ensuring the model could generalise better to
new data.
– Spearheaded the development of an application to optimise
resumes for ATS using OpenAI APIs, resulting in enhanced
match rates for job applications.
– Utilised technologies such as OpenAI APIs, Python, AWS, and
Google Gemini Pro

Jan 2024 - May 2024 Data Scientist at Element 14

– 20% increase in customer engagement and a 15% boost in
conversion rates.
– Designed and implemented A/B tests to compare different
marketing strategies.
– Formulated hypotheses and applied statistical methods (t-
tests, chi-square tests) to analyse test results using
Python libraries such as SciPy and Statsmodels.
– Executed complex SQL queries to extract, clean, and
transform large datasets from the company’s relational
database.
– Performed exploratory data analysis (EDA) using SQL to
uncover key sales patterns, customer behaviour trends, and
correlations.
– Created detailed reports and performed segmentation
analysis to identify high-value customer segments.
– Designed and developed an interactive sales dashboard using
Tableau, integrating it with the company’s data warehouse
for real-time data access.
– Created visualisations to represent sales trends, customer
segmentation, and marketing campaign performance

June 2023 - May 2024 Data Scientist at Get2Know

– Developed machine learning models for financial data
analysis, improving predictive accuracy for investment
strategies by 50%.
– Implemented data-driven solutions to enhance customer
segmentation and targeted marketing, increasing customer
retention by 20%.
– Collaborated with team to translate business requirements
into technical solutions, ensuring alignment with financial
goals and compliance standards.
– Utilised Python, TensorFlow, and GCP to build and deploy
scalable models, reducing processing time by 60%.

Feb 2023 - June 2023 Data Scientist at Bluesky Creations

– Designed tailored data science solutions, leveraging
machine learning, statistical analysis, and predictive
modeling, saving approximately 5 hours per week by
automating routine tasks.
– Developed and validated predictive models, achieving up to
20% improvement in accuracy, directly impacting business
decisions.
– Conducted exploratory data analysis to identify patterns
and trends, providing valuable insights for decision-making
and recommending marketing strategy changes, leading to a
10% increase in customer engagement.
– Created visualisations using Python’s matplotlib, seaborn,
and libraries like Pandas and Numpy for clear data
representation and analysis.