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. I am proficient in Python, SQL, and data visualization tools such as Power BI and Tableau, and I have a strong passion for extracting actionable insights to support data-driven decision-making. Throughout my career, I have implemented a wide range of machine learning algorithms, including PCA, K-means, Random Forest, XGBoost, Logistic Regression, SVM, and Linear Regression. I also have experience with deep learning frameworks like TensorFlow, developing advanced neural network models such as Convolutional and Recurrent Neural Networks.
In previous roles, I worked as a Data Analyst at Temsa, where I contributed to data migration projects, optimized analytics workflows, and developed custom reporting solutions using Azure Data Factory, MSSQL, and Power BI. At Kodlasam, I designed and delivered a comprehensive Python-based data analysis curriculum, helping participants build practical skills through real-world case studies and hands-on exercises. As a BI & DWH Developer at Trive, I enhanced ETL processes, reducing manual effort by 15% and improving data loading speeds by 20%.
In addition to my full-time roles, I have also worked as a freelancer on Upwork, leading various NLP and machine learning projects. I developed text and document automation systems and delivered substantial accuracy improvements in sentiment analysis and predictive analytics. One notable project involved sales data analysis for a café business, where I utilized Power BI to uncover insights that helped optimize sales strategies and inventory management.
Currently, I work as a Data Analyst at Gensure Tech, where I perform data analysis and reporting on sales, accounting, task management, and insurance datasets in alignment with business requirements. I develop advanced SQL queries in BigQuery to support the data needs of operations, finance, and executive teams. Additionally, I create KPI-driven dashboards using Metabase, providing decision-makers with clear and actionable insights. One of my key achievements has been reducing query costs by 65% by exporting BigQuery outputs to Google Cloud Storage and integrating them with Metabase. I also built the entire reporting infrastructure from scratch, establishing a scalable and consistent analytics environment across the company.
I am dedicated to continuous learning and staying up-to-date with the latest developments in data science and machine learning, always aiming to deliver innovative solutions that contribute to business success.