Developed a model using Neural Networks to predict Key Performance Index of an aircraft using more than 3000 parameters such as flight duration, fuel consumption, calibrated airspeed, wind directions etc. Also, reduced the time from 1 month to 2 minutes for estimating the KPI with an accuracy of approx 92%.

Built a platform i.e. www.transporter.city using Pyramid python-based framework along with other technologies including HTML, CSS, Javascript. Also, involved in hiring new candidates and training them with the initial setup of the software.