Anil Niraula

**** ******** ****** **,

Washington, D.C., 20015, United States.

202-***-****/adxev5@r.postjobfree.com

LinkedIn:www.linkedin.com/in/anil-niraula

GitHub: https://github.com/ANiraula

Portfolio: https://aniraula.github.io

CAREER OBJECTIVE

I am an data scientist with passion for actionable data prep-to-modeling lifecycles with more than 8 years of experience in full-cycle data analysis, A/B testing, consulting, survey development, survey research/data analysis, data management, team projects, statistical/econometric modeling, predictive modeling, actuarial modeling, data visualization and data engineering. Seeking Mid-to-Senior level Data Scientist/Data Analyst position. PROGRAMMING:

Python (pandas, numpy, sklearn, plotly), R, R Markdown, R Shiny, R Studio Cloud, Alteryx, DataRobot, API, Tableau, Datawrapper, VS Code & Jupyter Notebook, Asana, Google Cloud (BiqQuery), AWS (EC2, SageMaker), LaTeX, HTML, some CSS, Microsoft Excel, PostgreSQL, Git, GitHub, GitBash, BitBucket, Jira WORK EXPERIENCE

Freddie Mac / McLean, VA

- Sr. Data Analyst November 2022 – Present

• Leading a project on predicting undisclosed Secondary Financing: helped Freddie Mac detect $1 million+ in uncharged fees o Developed complete data ETL workflows (Python, SQL,Alteryx, Snowflake) o Designed and iterated on Machine Learning models for best Fit (e.g., XGBoosted Trees) by Training

(Cross-Validation & Backtesting), Validating, and Projecting in DataRobot (via Python API). o Uncovered new insights by splitting Models achieving 80%+ Precision and 90%+ Accuracy o Developed new KPIs and Metrics to uncover signals from existing databases.

• Co-developed Outlier detection algorithms for various use cases across Single Family division Reason Foundation / Washington, DC

- Sr. Quantitative Policy Analyst August 2021 – October 2022

- Quantitative Policy Analyst June 2016 – July 2021

• Collaborated on developed and maintaining multi-functional database app (incl. AWS data storage, R packages with SQL and R functions). I was able to:

o Automate data wrangling (ETL workflow) and data analytics pipelines for the entire team o Scale up data collection and data usage by 3x

• Developed over 30 actuarial and statistical models with a team (member/lead), forecasting pension plan funding

(e.g. Monte Carlo, A/B testing, logistic regression) and employee benefit projections across 30+ U.S. states.

• Developed in a team more than 100 large PowerPoint presentations and interactive applications/dashboards

• Co-authored peer-reviewed research (incl. indexing and joining data tables, regression/financial analysis) The Heritage Foundation / Washington, DC

- Intern at Center for Data Analysis January 2016 - April 2016

• Collaborated on collecting, analyzing, and reporting data on state employment by using statistical software

• Conducted statistical analysis using Synthetic Control Method to estimate long-term policy effects

• Performed literature reviews, survey research, and co-authored blogs on education, labor, and economic growth International Monetary Fund / Washington, DC

- Projects Officer July 2013 - July 2014

• Managed several projects on analyzing and forecasting economic and financial data using statistical software

• Conducted econometric modeling and data visualization, while managing more than 8 datasets EDUCATION

• The Johns Hopkins University / Washington, DC: MS in Applied Economics May 2016

• University of Edinburgh / Edinburgh, UK: MS in International Business and Emerging Markets November 2011

• Touro University / Moscow, Russia: BS in Business Management and Administration (3.7 GPA) September 2008 CERTIFICATION

• DataRobot Certificate: Certificate for AutoML I for Freddie Mac February 2023

• DataCamp Certificate: Professional Data Scientist June 2022

• Coursera Certificates:

o Google Cloud Big Data and Machine Learning Fundamentals April 2022 o UC Davis: SQL Basics for Data Science Specialization March 2022 Participated: rstudio::conf 2022 / Data+Viz Hackathon (Tableau & IMF) / DATAcated LinkedIn streams

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