Atefeh Anisi

Background

About Atefeh Anisi

Dynamic Data Scientist with 6+ years of experience in machine learning, predictive modeling, natural language processing, and operations research analysis. I help companies leverage advanced data science techniques to transform complex data into actionable insights, significantly improving operational efficiency and product development. Some examples include: Achieved an 80% reduction in RMSE for dynamic pricing models by integrating customer sentiment analysis, showcasing the effectiveness of advanced machine learning techniques. Reduced MAE by 6.6% for house price predictions using a Genetic Algorithm-optimized neural network, demonstrating my ability to enhance predictive accuracy. Developed a text mining approach to analyze over online reviews, providing valuable insights for product development and marketing strategies. Designed an agent-based model (ABM) for dynamic pricing of multi-generation products, achieving high predictive accuracy and optimizing pricing strategies. Created the MIFilter R package for efficient feature selection in classification tasks, accelerating model training by 13% and reducing memory usage by 8%. I am proficient in Python, R, MATLAB, TensorFlow, Keras, Scikit-learn, PyTorch, Pandas, GAMS, Gurobi, and various data visualization and statistical packages. My expertise includes text mining, sentiment analysis, optimization, data preprocessing, feature extraction, model training, evaluation, and the development of data pipelines. I get excited about opportunities where I can apply my skills in a collaborative environment to tackle complex business problems and drive data-driven decision-making. I am particularly interested in roles that allow me to work on innovative projects in technology and product development. Skills: Python, R, R studio, MATLAB, TensorFlow, Keras, Scikit-learn, Sklearn, PyTorch, Pandas, Visualization and Statistical Packages in R, Algorithms, Artificial Intelligence, Computer Vision, Natural Language Processing, NLP, Statistical Analysis, Data Engineering, Data Quality, Git, Github, Numpy, PySpark, R Shiny, Statistics, SQL, Scipy, Tableau, Agile, EXCEL, MS office, MS office suite, Data Structures, JIRA, Project Management Tools, Spark, Data Mining, Deep Learning, Azure, AWS, EMR, Mathematics, GAMS, Gurobi, NetLogo, AnyLogic, Apache, Apache Spark, Matplotlib, Seaborn, Predictive Modeling, Logistic Regression, Support Vector Machine, Random Forest, Decision Tree, XGBoost, Teamwork, Problem-Solving. I love connecting with new people, you can reach me at anisi@iastate.edu.