Data Analytics, Scheduling, tracking of attendance and Leaves

TIKARAM SUBEDY

I’m open to work and eagerly looking for new opportunities in data analytics. I’ve re-discovered my passion of working with data and statistics following the completion of Data Analytics bootcamp.

TECHNICAL PROJECTS

Machine learning models

●Created a forecasting model of Covid-19 cases by training and testing various time series models and analyzed using optimum fit ARIMA model.

Visualization Dashboard

●California county-wise Covid-19 Vaccination status: Gathered CA county-wise data from Department of Public Health website. Processed the large data using python, panda packages, along with Javascript, D3. Performed further analysis and generated interactive visualizations for web using Leaflets, html/CSS, geo-mapping.

ETL

●Transformed Covid-19 vaccination data obtained from Department of Public Health website into Pandas data frame, then loaded to SQL database using PostgreSQL. This processed data can be used downstream as Pandas data frame using SQL Alchemy connection engine.

Experience

Sky River Casino

Scheduling Manager, Table games

Managed weekly Table Games scheduling using Virtual Roster

Managed Daily attendance and call outs using Call Out System created by myself. Managed Table Games Team members leave requests, LOAs, FMLAs, and Daily Payroll and timecards in ADP system.

Cache creek casino resort

Pit Manager, Table games

●Managed daily business operations routine and created schedules for supervisors and employees.

●Evaluated employees’ performances and training.

●Effectively communicated regulatory activities and concerns to upper-level management and inter-department personnel.

World Education Inc, Nepal

Research officer

●Conducted a prospective longitudinal study for five years in Nepal.

●Designed survey tools, led data collection teams, performed data processing, performed data analysis using SPSS and prepared reports.

Personal info

Phone

530-***-****

Email: *******@*****.***

Linked in:

https://www.linkedin.com/in/tikaram-subedy/

GitHub: https://github.com/tsubedy

Education

Data Analytic Bootcamp, UC Davis

MS Statistics, UC Davis, CA, USA

MSc Statistics, Tribhuvan University, Kathmandu, Nepal

Skills

Languages

Python:

Pandas, Matplotlib, SKlearning

Javascript/HTML/CSS:

D3, Leaflets, geo-mapping(google maps/mapbox)

Data

Machine learning:

supervised, unsupervised, deep learning

SQL (Postgresql)

No SQL (MongoDb)

Tableau

VBA

Big data

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