Dynamic and results-driven Data Scientist with over 7 years of experience in data science, machine learning, deep learning, and data analysis. Proficient in predictive modeling, natural language processing (NLP), deep learning, and statistical analysis, leveraging advanced machine learning frameworks such as TensorFlow, PyTorch, Transformers, and Weka. Adept at designing and deploying AI-driven solutions to solve real-world business problems, including fraud detection, anomaly detection, and automated decision-making systems. Skilled in big data technologies, data visualization, and analytics, utilizing tools like Tableau and Power BI. Strong problem-solving and communication skills with a keen ability to bridge the gap between data and business strategy, driving impactful decisions through data-driven insights and AI-based solutions.
Technical Skills
Programming: Python, R, SQL
Libraries & Frameworks: NumPy, Pandas, Matplotlib, SciPy, ggplot2, PySpark, Scikit-learn, NLTK, TensorFlow, PyTorch, Transformers, OpenAI, Hugging Face, Weka
Visualization Tools: Tableau, Power BI, QuickSight, Excel
Databases: MySQL, SQL Server, Oracle PL/SQL, Google BigQuery
Big Data Technologies: PyODBC, Spark MLlib, AWS Athena, AWS Connect
Other Skills: Data Cleaning, Data Wrangling, Predictive Modeling, Statistical Analysis, Business Intelligence, Transformers, Neural Networks, Natural Language Processing (NLP), Fraud Detection, Agile Methodologies
Operating Systems: Windows, Linux
SAS Tools: SAS/BASE, SAS/SQL, Macro Facility