Tahiya R. Email & Phone Number

Tackling diverse datasets, employing techniques such as ensemble learning, hyperparameter tuning, and cross-validation to maximize model performance.Engaging with a global community in a collaborative environment, participating in discussions about cutting-edge algorithms and best practices.Utilizing tools like Python, TensorFlow, and XGBoost while competing in various challenges, continually refining predictive modeling and data visualization capabilities.Enhancing technical expertise and expanding professional network, contributing to impactful data-driven projects.

Research Triangle Park

• Conducted thorough research and analysis to identify and resolve anomalies within master data, ensuring high levels of data integrity and reliability.• Implemented geolocation and GIS/GLM validation techniques to enhance B2B lead quality, optimizing data accuracy and relevance.• Developed and executed effective fraud detection strategies, resulting in reduced erroneous entries and improved data integrity.• Proficiently utilized KNIME for data processing, Q-GIS for geospatial analysis, Profisee for master data management, and Tableau for comprehensive data visualization.• Applied advanced analytics and visualization tools to derive actionable insights, support data-driven decision-making, and continuously enhance data management processes at BASF.

Columbus, Ohio Metropolitan Area

• Developed predictive models to address recurring customer banking issues, focusing on risk and threat analysis using clustering techniques on unlabeled data.• Implemented topic modeling techniques such as non-matrix factorization and Latent Dirichlet Allocation (LDA) for clustering textual data, leveraging Python libraries like Gensim, NLTK, and scikit-learn.• Evaluated model performance using coherence scores and classified key risk issues, facilitating remediation strategies in the context of data warehouse migration.• Utilized Control Charting methodologies for daily updates, scheduling alerts based on conditioned matrices derived from datasets, and ensuring synchronization across systems.• Proficiently used Dataiku for data preparation and modeling, MicroStrategy for business intelligence and analytics, and Archer for risk management and compliance.• Collaborated with cross-functional teams to interpret analytical findings, provide actionable insights, and support strategic decision-making processes.• Maintained documentation and communicated findings effectively to stakeholders, ensuring alignment with business objectives and regulatory requirements.

Ohio, United States

• Conducted comprehensive data analyses on project timelines, budget constraints, and business value using advanced Natural Language Understanding (NLU) and Natural Language Processing (NLP) techniques.• Designed and developed interactive dashboards powered by NLP, facilitating enhanced decision-making through intuitive data visualization.• Ensured adherence to industry standards and regulatory requirements for data security and privacy, particularly within Google's framework, across NLP projects.• Proficiently utilized a tech stack including Google Analytics for data insights, Google Looker Studio for visual analytics, BigQuery for data warehousing, and Miro for collaborative whiteboarding.• Collaborated closely with stakeholders to interpret analytical findings, provide actionable insights, and support strategic initiatives.• Documented methodologies, findings, and recommendations, effectively communicating insights to diverse audiences to align data-driven strategies with organizational goals.

Bachelor Of Science - Bs, Data Science And Management

Associate Of Arts And Applied Sciences - Aas, Data Science

Bachelor Of Business Administration - Bba, Digital Marketing