Manjil Ghimire
Saint Louis,MO
Summary
Experienced Data Scientist with a strong background in health care data. Proficient in Python, R, and cloud platforms AWS and Azure. Skilled in ML, including neural networks, regression, and clustering. Track record in financial model optimization, fraud detection, and customer analytics. Demonstrated ability to manage end-to-end project lifecycles and deliver insights from large-scale datasets, leveraging tools such as SciKit-learn, TensorFlow, and PowerBI. Seeking a challenging role in data science which leverage my expertise in machine learning, big data analytics, and financial modeling to drive business insights and innovation.
Overview
5
5
years of professional experience
Work History
Data Scientist
Vizient
Cape Girardeau
03.2019 - Current
- Increased organizational efficiency by implementing a predictive ML model for Nurse Turnover, resulting in a significant 30% decrease in attrition rate.
- Developed predictive models for forecasting trends, anticipating customer behavior, and optimizing operational processes to enhance strategic planning.
- Utilized statistical methods such as hypothesis testing, regression analysis, and clustering to identify meaningful patterns and correlations in data sets, leading to improved decision making.
- Applied Pandas for data preprocessing, including addressing missing data and performing feature engineering. Utilized sampling methods to achieve balanced datasets.
- Implemented machine learning algorithms including decision trees, random forests, and neural networks to solve business problems and enhance efficiency.
- Developed visually captivating dashboards and reports using Tableau and Power BI, ensuring effective communication of insights to stakeholders.
- Utilized exploratory data analysis and data mining techniques to uncover significant patterns and trends, unveiling valuable business prospects
- Ensured compliance with data privacy regulations like GDPR and HIPAA. Implemented security measures to safeguard sensitive information.
- Automated processes in data management by leveraging advanced Big Data tools like Spark, Python, and AWS, while actively collaborating with Vizient's Data Governance team on data model optimization and metadata maintenance.
- Kept pace with cutting-edge advancements in data science by engaging in professional development opportunities such as conferences, workshops, and online courses.
Education
Master of Arts - Information Technology
Webster University
Webster Groves, MO05-2018
Skills
- R
- Python
- SQL
- Scala
- NumPy
- SciPy
- Pandas
- SciKit-learn
- Matplotlib
- Machine Learning
- Neural Networks
- Deep Learning
- NLP
- Bayesian Learning
- Optimization
- Prediction
- Pattern Identification
- Data/Text Mining
- Regression
- Logistic Regression
- Clustering
- Classification
- Statistical Modeling
- Excel
- SQL Server Reporting Services
- PowerBI
- Python Seaborn/Matplotlib
- Plotly
- TensorFlow
- Scikit-learn
- Keras
- PyTorch
- PostgreSQL
- MongoDB
- MySQL
- Spark
- Kafka
- Hadoop
- AWS
- Microsoft Azure
- Google Cloud Platform
- Regression analysis
- Naïve Bayes
- Decision Tree
- Random Forest
- LightGBM
- XGBoost
- Ensemble Methods
- Support Vector Machine
- KNN
- K-Means Clustering
- Hierarchical Clustering
Timeline
Data Scientist
Vizient
03.2019 - Current
Master of Arts - Information Technology
Webster University