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Intro

  • A data-fiend who aspires to excel at compiling, filtering, integrating, and modeling datasets to enhance business operational performance.
  • Proficient with the prevailing analytical tools(Python) to conduct academic and market research.
  • Combines academic and field experience through organizational and administrative skills.

Skill-set

  • Methods: Regression, Classification, Clustering, Association rule,Reinforcement learning, Natural language processing, Dimensionality Reduction,Deep Learning(CNN,RNN).
  • Analytical Tools/Languages: Python (pandas,sklearn,nltk,tensorflow,keras,pytorch),R, C/C++, STATA ,SPSS , SQL, Spark ,MATLAB & Microsoft Office.
  • Courses:Econometric, Bayesian statistics, Artificial Neural Network ,object oriented programming, Applied machine learning, calculus, Social Network analysis, linear algebra, probability and statistics.

Work experience

09/2016Present

PhD Researcher (Big Data Analytics track)

LUISS Business School,Rome, Italy AND Erasmus School of Management, Netherlands
  • Merging, managing, interrogating and extracting data to supply tailored reports for projects, seminars and journal publications.
  • Participating in newly developed big data analytics centre.
  • Teaching and learning simultaneously art of data“wizardry” at my little Hogwarts.

EXPERTISE ACQUIRED: Supervision, sense of humor, motivating others, resolving issues, patience, punctuality, presenting technical ideas in simplified way.

RESEARCH TOPIC: Technological uncertainties, pace of substitution and survival challenges within electric vehicle ecosystem.

09/201408/2016

Quantitative Analyst

University of Vaasa, Department of Production, Finland
  • Collecting literature and working with large data sets (obtaining, cleaning, synthesizing) for projects in energy systems.
  • Examining various types of missing data (e.g. missing at random & selection effects) and the development of methods for appropriately handling missing data.
  • Performing quantitative analysis for green energy markets in Nordic region.

EXPERTISE ACQUIRED: Networking, managing virtual teams & exploratory data analysis(EDA).

ACHIEVEMENTS: Conducting statistical analysis to find relationship between university's R&D expenditure and innovation, achieving a 10% more accurate prediction of performance than previous years.

09/201105/2012

JUNIOR BUSINESS ANALYST

MePin Oy,Finland
  • Building business cases by modeling tools, cost analysis & impact assessments.
  • Collecting data through interviews, secondary sources and applying scenario analysis

EXPERTISE ACQUIRED: Team building, feedback acceptance, diversity awareness

ACHIEVEMENTS:Using predictive analytics to forecast demand of cyber security solution in a new market(geographically) with a 92% accuracy rate.

06/200907/2011

NETWORK ENGINEER

Multinet Private Limited, Pakistan
  • Supervising safety and security of outside plant (OSP) including Optic fiber.
  • Administrating fiber verification and mapping underground fiber route.

EXPERTISE ACQUIRED: Tolerance of uncertainty, troubleshooting, resolving issues.

ACHIEVEMENTS: Successful update of remote sensing in WSN using multi hop technology to improve the battery life by having a 3.1% decrease in charging time.

Education

09/201205/2014

MASTER'S IN BUSINESS ECONOMICS AND MANAGEMENT

University of Oulu, Finland

Major: Information System & International Business

Awards & Achievements

  • 100% funded PhD Scholarship at LUISS Business School (2016-2020)
  • University of Oulu International Master’s Scholarship (2012-2013, 2013-2014).
  • Traineeship Grant from University of Oulu (2013).
  • Academic Excellence Scholarship for Master in International Business (2013).
  • Merit-based Scholarship for Bachelor’s degree in Electrical Engineering (2005).

Publications

  • Sherwani, H., & Tee, R. (2018). Innovation and Value Creation in Business Ecosystems. In Learning and Innovation in Hybrid Organizations (pp. 13-32). In: Palgrave Macmillan. Learning and Innovation in Hybrid Organizations: Strategic and Organizational Insights. Boccardelli, P., Annosi, MC, Brunetta, F., Magnusson, M. (Eds.), ISBN: 978-3-319-62466-2.
  • Sherwani,H., Tee,R.Spagnoletti,P.,Cornelius,S. (2018). Big Data Process in the Age of Digitization. In: The resilient organization: design, change and innovation in the globalized economy. p. 1-9.