Motivated MSc. Data and Decision Analytics graduate with strong proficiency in Python, R, Power BI, SQL, and Excel. Extensive experience in forecasting, data mining, machine learning, and statistical analysis. Demonstrat…
Motivated MSc. Data and Decision Analytics graduate with strong proficiency in Python, R, Power BI, SQL, and Excel. Extensive experience in forecasting, data mining, machine learning, and statistical analysis. Demonstrated ability to effectively communicate complex data insights to non-technical stakeholders. Seeking a challenging data analyst role to apply analytical expertise, contribute to process improvements, and utilize academic achievements to drive organizational success.
Demonstrated exceptional adaptability by efficiently working across various aisles, ensuring timely shelf restocking and store readiness.
Cultivated a robust team spirit, leading to improved performance and morale through active participation in training new members, thus enhancing the onboarding experience and team cohesion.
Excelled in a fast-paced environment by consistently completing tasks ahead of deadlines, employing innovative problem-solving to increase efficiency.
Showed strong initiative and a proactive learning approach by accepting additional responsibilities, leading to a deeper understanding of store operations and skill set expansion.
Leveraged time management and organizational skills to efficiently meet and exceed replenishment targets ahead of schedule, significantly contributing to team success.
Collaborated with Roke Manor Research to conduct thesis research focused on extracting demographic insights from textual data.
Applied Natural Language Processing techniques, including keyword analysis and regular expression analysis, to discern demographic attributes (age, gender and occupation) from Twitter user descriptions.
Implemented machine learning models, including Support Vector Machine (SVM), Naive Bayes, XGBoost, etc., to predict demographic attributes from tweet content.
Presented complex methodologies and findings to stakeholders at Roke Inc. and the university, ensuring comprehension.
Delivered an engaging guest lecture on thesis work to the MSc Data and Decision Analytics Batch of 2023, highlighting strong communication and presentation abilities.
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