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Research Assistant Resume

Fairfax, VA


Power BI certified Data Analyst with 4 years of experience who love to interact with data to understand the business problem and interpret them using various tools such as Python, Power BI, SQL, ETL, R and Azure Cloud


  • Python (Pandas, Scikit learn, NLTK, NumPy, BeautifulSoup, Selenium)
  • Power BI
  • SQL
  • ETL - SSIS
  • Azure Cloud
  • Dax Queries
  • Tableau
  • Weka
  • R
  • Hadoop - Hive
  • Revit MEP
  • HTML
  • Balsamiq
  • Machine Learning
  • Natural Language Processing
  • Data Visualization
  • Web Scraping


Confidential, Fairfax, VA

Research Assistant

  • Implemented web scraping routine for collecting data from the Google scholar and the DBLP website. Automated it using Proxy rotator
  • Using Dandelion API extracted entities from collected data and implemented machine learning pipeline to build a recommendation system to predict emerging topics using recurrent neural network.
  • Calculated Return on Investment (ROI) for the Master’s Degree in Health Informatics. Used Python (Selenium & Beautiful Soup) scripts to extract several thousands of records from LinkedIn who graduated from American universities that offered a Master’s Degree in Health Informatics.

Confidential, Atlanta, GA

Data Science -Intern

  • Built machine Learning Model (Neural Network) from scratch to predict the number of hours it will take to deliver shipments from source sorting facilities to destination sorting facilities. By implementing I was able to increase the accuracy of perdition by 30 %
  • Developed a Power BI dashboard that allowed UPS IT managers and senior management to understand and evaluate the efficiency of 200+ teams at the UPS supply chain division.


Data Analyst

  • Designed and developed a DataMart in Azure cloud containing Work progress, worker data, inventory data and daily work log.
  • Created a data pipeline connecting Azure cloud and Power BI
  • Visualized data for management reporting and later used by supervisors to create weekly work priorities for each worker.
  • Reduced manpower hours by ~12 %; this was achieved by reducing material and people dependencies with the help of data.
  • Provided status reports to senior management or other management to keep them apprised of progress and any anticipated issues
  • Manage the Risk Committee pursuit process for new projects
  • Liaise between Construction Managers and departments to coordinate and expedite processes at all stages of construction


Business Analyst

  • Gathered requirements, performing project scope & feasibility analysis, and provide mentoring to team members
  • Implemented data solutions and reporting mechanism analyzing corporate data warehouse
  • Implemented ETL (SSIS) and created SQL database to store data from uber eats and swiggy for an online data analytics platform to analyze food ordering trends for a chain of restaurants.
  • Managed databases for multiple web apps for customer relationship management.

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