<img height="1" width="1" style="display:none" src="https://www.facebook.com/tr?id=717202372148975&amp;ev=PageView&amp;noscript=1">

Madhava Rao Madireddy

Adjunct Faculty

Linkedin Profile


  • Doctorate/PhD: Engineering, West Virginia University – Morgantown, USA (2008)
  • Master of Science: Mechanical Engineering, Ohio University – Athens, USA (2003)
  • Master of Business Administration (MBA): Finance and Accounting, Ohio University – Athens, USA (2001)

  • Information Security
  • Python Programming
  • Programming using R
  • Business Analytics
  • Data Visualisations using Tableau
  • Pandas based Data Analysis
  • Statistical analysis using SPSS
  • Risk management
  • Finance (Corporate finance)
  • Financial Accounting
  • Managerial Accounting
  • Economics. Discrete Mathematics
  • Big Data and Analytics

Academic experience

Faculty at University of Technology
Sydney, NSW, Australia (February 2020 – Current)

  • Collaborative Business Research
  • Agile Business Systems
  • Participatory Modelling
  • Design Thinking

Faculty at Victoria University
Sydney, NSW, Australia (February 2020 – Current)

  • Business Statistics
  • Information Technology
  • Organizational Process and Change

Faculty at Victoria Institute of Technology
Sydney, NSW, Australia (February 2020 – Current)

  • Business Analytics
  • Data Visualisations using Tableau
  • Pandas based Data Analysis
  • Statistical analysis using SPSS

Faculty at Kings Own Institute
Sydney, NSW, Australia (February 2020 – Current)

  • Cloud Computing
  • Information Security
  • Python Programming
  • Programming using R

Faculty at Federation University
Sydney, NSW, Australia (March 2019 – Current)

  • Business Statistics
  • Business Processes Analytics
  • Predictive Analytics
  • Business Research

Faculty at University of Sunshine Coast
Sydney, NSW, Australia (July 2018 – February 2020)

  • Business Process Analytics
  • Big Data and Analytics
  • Research and Statistical Methods
  • Financial Accounting

Lecturer at Sreenidhi Institute of Science and Technology
Hyderabad, India (July 2015 – July 2017)

  • Risk Management
  • Finance (Corporate finance)
  • Financial Accounting
  • Managerial Accounting
  • Economics
  • Discrete Mathematics

Associate Professor, School of Business and Engineering, Dilla University
Ethiopia (2011 – 2015)

  • Had a senior management role in Dilla University as an Associate Professor
  • Central in establishing the infrastructure and facilities
  • Assisted the management in negotiating with contractors and investors to get the university exactly what is needed and at a fair price
  • Guided several undergraduate students in their final year research
  • Acted as a mentor for guiding students in developing industry skills such as computer programming skills, design courses, English language and presentation skills

Corporate experience

Data Analyst at Jacobs
Sydney, Australia (July 2017 – July 2018)

  • Processed data for traffic management - traffic counts, traffic flow at different times at various intersections in Sydney
  • Generated demographic data for different sectors of NSW and presented these results visually
  • Applied Exploratory Data Analysis by tidying the data, summarising and visualisation
  • Applied Predictive Analytics as a part of development of Machine Learning algorithms
  • Also used R programming for data visualisation for large datasets

Transport Modeller at TMA
Sydney, Australia (May 2017 – July 2017)

  • Applied basic traffic modelling tools such as Sidra, Vissim and Linsig in conjunction with Excel and SQL to process and evaluate large volumes of traffic data for several construction and transport projects for NSW. Generated reports and recommendations based on traffic simulation/flow at different times of the day on the Sydney road network.
  • Processed the travel demand data for use in Sidra Intersection model to evaluate scenarios involving lane configuration changes, signal timing changes, traffic flow changes and incorporated demand data for the Options Assessment Report for Pyrmont Traffic Improvement project in Sydney

Post Doctoral Researcher, Ghent University
Belgium (July 2009 – July 2011)

  • Managing Team members in creating reports, research publications for conferences and journals
  • Used Data Analytics using SQL and Matlab for Data visualisation
  • Taught Data Exploration, manipulation and visualisation using R and Python to Undergraduate students in Belgium
  • Organised research to test the sustainability of food consumption, land use and water use to evaluate carbon footprint and water footprint analysis
  • Published the research findings in Transportation Research Board Journal and presented the findings at Conference in Zurich, Switzerland

Samples of Projects Completed

  • Analysed the Australian Housing Market, the price drivers, the household debt and salaries across various states in Australia. Below is a visualisation that encompasses the housing trends in Australia. https://www.youtube.com/watch?v=ipzdmk3XxJo
  • Analysed several industries and their employability in Australia, the mining and the construction boom and the driving forces behind them. Here is a visualisation that shows the trends in the Australian industry. https://www.youtube.com/watch?v=jDihCyxz_z0
  • Analysed the trade between Australia and its global partners https://app.flourish.studio/visualisation/1363993
  • Created an animated ranking chart for several cricketing teams competing in a league. It is a conglomeration that summarises several data points into a 2-minute animation. https://www.youtube.com/watch?v=v1fF3DT15iQ
  • Analysed the performance and rankings of several Australian universities and identified and presented their world rankings over a period of last 10 years https://www.youtube.com/watch?v=5lnVpof79Xg
  • Predictive Analytics employed for diagnosis of health issues for patients with several measurements of their vitals and blood investigation 
  • Unsupervised Learning - Creating a Cluster Dendrogram of Cricket Players 
  • Created an animation based on a case study of coronavirus spread across the world in January and February 2020 https://www.youtube.com/watch?v=HCI9AlIOn_U
  • Sustainable Consumption Research – Case study for several countries and their spending and consumption behaviour and analysis of their ecological footprint 

Research Interests

  • Sustainability and Environment (Transport, Consumption, Carbon/Water Footprint analysis, Industry analysis of Sustainability, Investigation into Global Warming Effects, Environmental Pollution)
  • Air Quality Studies (Automotive Engines/Vehicles and their emissions evaluation and analysis)
  • Research into Health/ Economy (Data analysis and data visualisation support for research in the fields of social sciences, financial services, education, health care, medical sciences, etc.)

Research Publications

  • Atmospheric Carbon Dioxide and Nitrogen Oxides Emissions Data for 2003-2005 Model Year Trucks, American Journal of Climate Change, 2015, 4, 355-366.
  • Assessment of the impact of speed limit reduction and traffic signal coordination on vehicle emissions using an integrated approach, Transportation Research Board, TRB, 16 (504-508), 2011.
  • Novel Technique to reconstruct Instantaneous Heavy-duty emissions, International Journal of Engine Research, 2012 13: 108 originally published online 30 January 2012.
  • Influence of traffic management measures on emissions, Report submitted to the Agency for Mobility and Public Works, 2010-01.
  • Combined Assessment of Noise and Air Pollution caused by Road Traffic, Proc. of the Institute of Acoustics & Belgium Acoustical Society, in the Built Environment, Ghent, 2010.
  • Attempts to enhance the differential coefficients for the reconstruction of transient emissions from heavy-duty vehicles, 2007. International Journal of Engine Research, Vol.10, 65-70.
  • Methods for Reconstruction of Transient Emissions from Heavy-Duty Vehicles, 2008. Dissertation submitted to Engineering and Mineral Resources at West Virginia University.
  • Sequential inversion technique and differential coefficient approach for accurate instantaneous emissions measurement, International Journal of Engine Research, Vol.7, No.6/2006, 437-446.
  • Analytical Design of A Parallel Hybrid Electric Powertrain for SUVs And Heavy Trucks, Master’s Thesis submitted to The Faculty of the Engineering, Ohio University, 2003.
  • Reconstruction Methods for Accurate Measurement of Heavy-Duty Emissions, Jaypee Inst. of Science and Technology, 2014.
  • Application of Fast Fourier Transform and IFFT for the Reconstruction of Instantaneous Heavy-Duty Emissions, Jaypee Institute of Science and Technology, February 2015.

Conference Presentations

  • Micro-Simulation of Traffic Fleet to Predict the Impact of Traffic Management on Exhaust Emissions, 18th Int’l Symposium, Transport and Air Pollution Conf., Zurich, Switzerland, 2009, 256-260.
  • A Study of the “Optimum” Hybridization Ratio for SUVs and Heavy Trucks, ASME 2003 International Mechanical Engineering Congress & Exposition, Washington, DC, USA, 337-343.

Editorial and Reviewer Activities

Certifications and Professional Development

  • Obtained certificate as a Data Scientist for Programming using R and Python, using SQL, Excel and for completion of several online projects related to finance, health and economics related data on DATACAMP.com
  • Obtained Certification as a Data Analytics Expert and Business Analytics Expert by LinkedIn Learning platform after completion of several courses for each certification
  • Adept at using Zoom and Online interactive sessions for communication with team members
  • Obtained Certificate as a Data Analyst for Business Analysis and Financial analysis of markets using predictive analytics, machine learning techniques and random forest models
  • Data Exploration
  • Data Cleaning and Importing
  • Data Manipulation and Exploration
  • Data Visualisation in R
  • Python Programming
  • Spatial Data Analysis in R
  • Applied Time Series Data
  • Data Science for Finance
  • Machine Learning (Supervised)
  • Projects in Supervised Learning
  • Pandas for Data Analysis
  • Regression and Correlation