Shri Harini Ganesan

Team player and passionate coder with strong communication skills. Intermediate level of large data set management, building Machine Learning models to extract required information. Willingness to take on added responsibilities to meet team goals.

• Received InstaAwards by Infosys - 2022 for effectively helping with Data Migration task.
• Received Best Paper Award entitled “Incontinence Monitoring System using Wireless Sensors for ‘Smart Diapers’ ”
• Achieved 1st Place in Smart India Hackathon - 2019, Software Edition (National Level).
• Achieved 1stRunner Up in Smart India Hackathon - 2018, Hardware Edition (National Level).

• Detection of Adulteration in Fruits using Machine Learning — Mar 2020 Detection of formaldehyde using HCHO sensor and Supervised machine learning algorithms to accurately predict the correct concentration of formalin at all temperatures and classify between artificially added and naturally formed formalin.
• Predictive Maintenance of Pharmaceutical Equipment — Mar 2019
  A Deep Learning model that predicts the Time to Failure of machines using Recurrent Neural Networks analyzing their vital parameters and displays various details on a comprehensive dashboard web app.
• Incontinence Monitoring System using Wireless sensors for "Smart Diapers" — May 2019 Design of “Smart Diaper” which is based on the non-contact sensor module incorporated in the diaper. Data is transmitted by means of a wireless transmission and communication technology to the Mobile application that notifies the status of the Moisture content from the diaper. Was also awarded 'Best Mini project' among 15 other projects

• Detection of Adulteration in Fruits using Machine Learning — Mar 2020 Detection of formaldehyde using HCHO sensor and Supervised machine learning algorithms to accurately predict the correct concentration of formalin at all temperatures and classify between artificially added and naturally formed formalin.
• Predictive Maintenance of Pharmaceutical Equipment — Mar 2019
  A Deep Learning model that predicts the Time to Failure of machines using Recurrent Neural Networks analyzing their vital parameters and displays various details on a comprehensive dashboard web app.
• Incontinence Monitoring System using Wireless sensors for "Smart Diapers" — May 2019 Design of “Smart Diaper” which is based on the non-contact sensor module incorporated in the diaper. Data is transmitted by means of a wireless transmission and communication technology to the Mobile application that notifies the status of the Moisture content from the diaper. Was also awarded 'Best Mini project' among 15 other projects