Foram Shah Email & Phone Number

United States

United States

 Developed predictive models to forecast key financial metrics, resulting in a 15% improvement in forecast accuracy. Implemented anomaly detection algorithms for fraud detection, reducing fraudulent transactions by 25%. Visualizing and presenting dashboards to decision makers using Tableau by utilizing various plotting techniques. Implemented Logistic Regression, GBT Classifier in PySpark for customer churn prediction, achieving 83% accuracy. Refined models by 13% via advanced feature engineering, data augmentation, hyper-parameter tuning with Grid Search CV. Managed source code on GitHub, deployed on Apache Spark cluster to optimize performance by 72% for large scale data. Working with Pandas, NumPy, and Matplotlib for developing various algorithms. Designing and maintaining MySQL databases, and creating pipelines using user-defined functions and stored proceduresfor daily reporting tasks. Participated in all phases of data mining, data collection, data cleaning, developing models, validation, and visualization.

India

 Utilized the Agile methodology of development for requirements, planning, design, and deployment. Implemented Azure Data Factory pipelines for automated data ingestion and transformation, improving data processing efficiency by 30%. Implemented machine learning models for employee turnover predication using algorithms such as XGBoost, Random Forest, and Gradient Boosting resulting in 15% improvement in predictive accuracy.  Evaluated model performance using metrics such as accuracy, precision, recall, F1-score, and ROC-AUC ensuring accurate insights. Performed Exploratory Data Analysis (EDA) with data visualizations (Matplotlib, Seaborn) and hypothesis testing, enhancing data-driven decision-making.  Conducted data pre-processing, including data cleaning and feature engineering, leading to a 25% reduction in missing values through data imputation techniques.  Created interactive visualizations and reports using Power BI, and Microsoft Excel, facilitating data-driven decision-making and improving data accessibility for stakeholders. Created scalable Alteryx based ETL pipeline for 1M+ student dataset, facilitating data analysis of business scenarios. Achieved 8% revenue boost by conducting exploratory analysis of market trends and optimizing customer - centered KPI. Generated students’ performance insights using interactive dashboards in Tableau to enhance business efficiency by 17%. Collaborated with cross-functional teams, delivering detailed analytical reports, meeting data requirements on time.

Master'S Degree, Master Of Science In Data Science

Postgraduate Diploma, Artificial Intelligence

Bachelor'S Degree, Bachelor Of Science In Information Technology