As a Data Scientist and Machine Learning Developer with over three years of experience, I specialize in building statistical and predictive models, natural language processing (NLP), and designing decision support tools. Proficient in Python, SQL, and data visualization tools like Power BI and Tableau, I am passionate about extracting actionable insights to drive data-driven decision-making.
Throughout my career, I have successfully implemented machine learning algorithms such as PCA, K-means, Random Forest, XGBoost, Logistic Regression, SVM, and Linear Regression. My expertise extends to deep learning frameworks like TensorFlow, enabling me to develop advanced neural networks, including Convolutional and Recurrent Neural Networks.
In my previous role at Kodlasam, I designed and delivered comprehensive Python-based data analysis curricula, enhancing participants’ understanding through practical exercises and real-world case studies. At Trive, as a BI & DWH Developer, I optimized ETL processes, achieving a 15% reduction in manual work and a 20% increase in data loading speed.
As a freelancer on Upwork, I have led NLP and machine learning projects, developing text and document automation systems and achieving significant accuracy improvements in sentiment analysis and predictive analytics. Notably, I spearheaded a sales data analysis project for a café business, utilizing Power BI to deliver actionable insights that optimized sales strategies and inventory management
Currently, I work as a Data Analyst at Temsa, where I contribute to data migration projects, optimize analytics workflows, and develop custom reporting solutions using tools like Azure Data Factory ,MSSQL and Power BI. My work focuses on improving efficiency and enabling data-driven decision-making within the organization
I am committed to continuous learning and staying abreast of the latest advancements in data science and machine learning to provide innovative solutions that drive business success.
