Experience

Pakistan Institute of Development Economics, Islamabad

• Pakistan
• Government Administration
• 1 - 100 Employee

• Research Assistant

  • Sep 2014 - Present

  As a Research Assistant I performed many key duties in my office including Report Writing, Research Prosal and analysing of data using Statistical and Econometric techniques to provide a vital support in the business of my organization. I enabled to learn how a researcher use different statistical packages in data analysis like SPSS, Ometrics, STATA and Matlab. As a Research Assistant I performed many key duties in my office including Report Writing, Research Prosal and analysing of data using Statistical and Econometric techniques to provide a vital support in the business of my organization. I enabled to learn how a researcher use different statistical packages in data analysis like SPSS, Ometrics, STATA and Matlab.



MicroMerger organization

• Pakistan

• Data Analyst

  • Mar 2017 - Apr 2019

  Experience MicroMerger and PIDE Data Analyst Company NameMicroMerger Full-time Dates EmployedFeb 2015 – 2019 Employment Duration 4 year LocationIslamabad, Islāmābād, Pakistan 1- Working on cobb douglas production function and Forecasting using Time Series Forecasting and production algorithms. 2- Worked on consumer utility functions Forecasting using Oxmetrics and Time Series Forecasting algorithms. 3- Conduct detailed analysis, generated insights and visualizations using R, Python, Excel and Tableau. 4- Hands-on Experience with Data Visualization tools and libraries such as Tableau, matplotlib, seaborn, Plotly and ggplot2. 5- Hands-on experience with modeling epidemiology and forecasting problems using Time Series Forecasting and Epidemiology algorithms. 6- Hands-on experience of manipulating data sets using Numpy and Pandas. 7- Hands-on Experience of Implementing the Machine Learning/Deep Learning Solutions in Python using sci-kit learn, stats-models, Keras, tensor flow, Pytorch and graph lab. 8- Hands-on Experience of Implementing Machine Learning Algorithms E.g. Random Forest, Logistic Regression, Linear Regression, K-Means, PCA etc.