Professional Data Analyst
Resume:
Anil Niraula
Washington, D.C., 20015, United States.
202-***-****/***********@*****.***
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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