Samikaran Bhattarai Email & Phone Number

Manitowoc, Wisconsin, United States

Built and Implemented various End to End predictive models using data aggregation and Machine Learning techniques to develop Customer Segmentation for effective operations Built Data Ingestion, cleaning and modeling pipelines Designed and performed comparative vendor analysis reducing cost by 30%. Leveraged Analytics to optimize frequency and form of communications with the consumers. Designed, developed and established KPIs to monitor performance of people and processes, Performed End to end process of data sourcing, importing, cleaning, transforming, validating and modeling into a meaningful purpose such as illustrative charts, graphs, tables, and dashboards Communicated with leadership to understand needs and refine requirements to provide accurate and useful strategic insights. Worked closely with Data team to build data infrastructure and governance to enable access to information and expand reporting capabilities Performed Rapid development of reports for critical reporting and process improvements Recommended emerging technologies and standard for Data Analytics and Machine Learning

Bloomington/Normal, Illinois Area

1. Developed Framework that allows business users to easily identify various KPI’s to save time and effort in designing business solutions. 2. Implemented the framework in ‘Worker’s Compensation Claims Data’ by developing a 360-business dashboard multiple panels and parameters displaying KPIs and business metrics.3. Developed Complex dashboards and used advance chart visualizations in Tableau like Pareto Chart, Dual Water Fall charts, Axis, Bullet Graphs, Bubble Charts, etc. to assist business users in solving complex problems.4. Created Tableau Tutorial Videos for an academic course that included various processes like Creating Relationships, actions, data blending, filters, parameters, hierarchies, Level-of-Detail (LOD), calculated fields, sorting, groupings, live and extract connections, Ad-hoc calculations etc.5. Utilized SQL and Python to clean a dataset of 12000+ observations and 20+ features.6. Built predictive models based on Machine Learning models like Regression and Classification in python for the Workers’ Compensation Claims Data to identify and predict employers as well as industries at higher risk of loss due to injury 7. Enforced F-Score, AUC/ROC, Confusion Matrix, Precision, and Recall evaluating different model's performance.8. Performed hyperparameters tuning using Cross Fold Validation and Grid Search in Python.9. Implemented a research project of developing a novel form of pervious concrete using PET bottles and admixtures like soil and flyash.10. Graded control charts, Pareto Charts, Histograms, Scattergrams for 'Quality Systems For Technology' Course11. Graded assignments of 'Construction Materials Technology' course12. Supervised laboratory sessions of 'Construction Materials Technology' course

Nepal

Nepal

Master'S Degree, Technology, 4.0

Activities and Societies: Poster presentation on "Plastic Concrete Composites made without Cement" at University Symposium-2017.MS.

Certificate, Project Management

Certificate, Quality Analytics

Bachelor'S Degree, Mechanical Engineering

Activities and Societies: 1 Senior year Undergraduate Project on “A Study of different types of Winglet using CFD”, August 2014 2. Courses.