RINAData Science Consultant
Jun. 2023Leatherhead, England, United Kingdom• Developed a linear regression model to differentiate baseline and incremental quantities
attributed to promotions, utilizing factors like paycheck cycles, special events etc.
• Designed ELT pipelines for efficient data ingestion, transformation, and analytics.
• Implemented proactive maintenance strategies using Support Vector Regression,
Supervised Learning, Predictive Modeling, significantly reducing equipment downtime and
operational costs.
• Calculated uplift and conducted ROI analysis to gauge promotional impact, leading to
informed recommendations for optimal discount percentages and event durations.
• Applied clustering techniques to segment financial data, enabling data-driven decision-
making and product optimization.
• Led end-to-end ETL automation, reducing data processing time by 30% while ensuring
data integrity and reliability.
• Extracted keywords from research papers using NLP techniques to identify relevant
solutions and improve project workflows.Integrated Python-Spacy, NLTK, Keras, and
Gensim to enhance linguistic analysis.
• Communicated actionable recommendations to stakeholders, translating complex findings
into clear business insights via Power Platform tools.