Ms. Arushi Gupta
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Degree | University/Institution | Subject/Subject of specialization | Year of passing/completion | Achievements |
Graduation | Miranda House University of Delhi | Economics | 2016 | Sumana Dutta Memorial Award for Best Student of BA Hons Economics for displaying good human values maintaining an excellent academic record with well developed co curricular and extra curricular activities |
Post-Graduation | Delhi School of Economics University of Delhi | Economics | 2018 | Prof Suresh D Tendulkar Memorial Award for academic excellence during MA Economics at Delhi School of Economics |
M. Phil | ||||
PhD | ||||
Post Doctoral | ||||
Diplomas / Certificate Courses | Stanford University and University of British Columbia | Game Theory | 2015 | |
University of Chicago Delhi Center | Financial Mathematics | 2015 | ||
IMF SARTTAC | Macroeconomics of Climate Change | 2023 | ||
Other Qualification(s) | UGC NET | Junior Research Fellowship | 2018 |
Whether Study leave has been availed by the Officer | : | No |
Grade | Designation | Place of Posting | Brief description of duties | Date | Total Time period |
Category |
JTS | Assistant Director | Department of Economic Affairs | Liasoning between the Government of India and IMF involving the diverse and multifaceted job responsibilities of a public policy macroeconomist Assessing all IMF publications from India’s perspective Policy matters like IMF quota reforms, governance reforms, and India’s financial contributions to IMF Administrative matters like appointments at SARTTAC and ED office Central Public Information Officer of the Division under the RTI |
5 Sep 2022 - 15 Feb 2024 Till Date |
Cadre |
Personal/Study Leave (if any) | : | NA |
Details of In Service training (Both Domestic and Foreign whether debarred from foreign training, if so, the details thereof) attended by the officer sponsored by the cadre.
Year | Name of the training course | Name of Institute | Venue | Period of Training (in weeks) |
Details of Training Programme attended by the officer sponsored by the Ministry/Department in which they were posted
Year | Name of the training course | Name of Institute | Venue | Period of Training (in weeks) |
2023 | Macroeconomics of Climate Change | IMF SARTTAC | Delhi | 2 |
2024 | Japan IMF Macroeconomics Seminar | GRIPS | Tokyo | 1 |
Any specific area or subject where the officer would prefer to be trained, for current assignment and for long term career progression.
Training for Current assignment | : | |
Training for Long term Career Progression | : |
Please mention contributions, if any, like publication of articles in journals/ publication of books/paper presentations in seminars or workshops or conferences by the officer during the tenure in IES.
Nature of Activity | Name | Topic | Description | Year of publication |
Working papers | Seminar Paper on Forecasting the Daily Exchange Rate of INR against Major Currencies | Macroeconomic forecasting | Forecast of the 10 day ahead nominal exchange rate of Indian Rupee against four major currencies ie US Dollar, Euro, British Pound, Japanese Yen using time series modelling ARIMA and naïve by applying the Hyndman Khandekar algorithm in R | 2022 |
Area of specialization of the officer | Grade | No. of years of specialization gained |
Any other (International Economics and Multilateral engagements) | JTS | 1 Years |
Specific area of interest/field of work where the officer would
prefer to be placed.
Agriculture, Planning, Economic Regulation, Energy, Environment, Financial Markets, Education, Trade, Commerce & Industry, Public Finance, Rural Development, Capital Markets, Women & Child Development, Tourism, Social Justice & Empowerment
Subject/Area or topic preferred by the officer to deliver a lecture,
whenever required.
Research, Data processing & Analysis, Environment, Public Finance, Any other
Disclaimer:
For the correctness of information provided in the ER sheet, the concerned officer is responsible.IES Cadre, Department of Economic Affairs or the National Informatics Centre will not be responsible for any decision or claim that is based on the basis of displayed data.