Anbil Mahesh Poyyamozhi
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Anbil Mahesh Poyyamozhi | |
|---|---|
Anbil Mahesh in 2024 | |
| Minister for School Education Government of Tamil Nadu | |
| Assumed office 7 May 2021 | |
| Chief Minister | M. K. Stalin |
| Preceded by | Edappadi K. Palaniswami |
| Member of Tamil Nadu Legislative Assembly | |
| Assumed office 25 May 2016 | |
| Preceded by | S. Senthilkumar |
| Constituency | Thiruverumbur |
| Personal details | |
| Born | 2 December 1977 |
| Party | Dravida Munnetra Kazhagam |
| Spouse | Janani |
| Children | 2 |
| Parents |
|
| Education | Bishop Heber College & ER HSec School, Trichy, Tamil Nadu, India |
| Website | http://www.anbilmaheshpoyyamozhi.com/ |
Anbil Mahesh Poyyamozhi (born 2 December 1977 as "Nallamuththu Poyyamozhi")[1] is an Indian politician serving as the Minister for School Education in Tamil Nadu and District secretary for Trichy district-South (Trichy east, Thiruverumbur & Manapparai constituencies) of Dravida Munnetra Kazhagam party.[2] He was the Member of Legislative Assembly from 2016–2021. He served as the State Secretary of DMK Youth Wing from 2014–2019.
He started his political life as a party worker in the year 2000. He was appointed the Youth Wing Secretary in 2014. He was elected as a Member of Tamil Nadu Legislative Assembly from Thiruverumbur constituency in 2016.[3][4][5][6] He was again elected as MLA in May 2021 from the Thiruverumbur constituency consecutively and appointed the School Education Minister of Tamil Nadu.[7] He was nominated by the Dravida Munnetra Kazhagam (DMK) to contest the Thiruverumbur constituency for a third consecutive term in the 2026 Tamil Nadu Legislative Assembly election.[citation needed]
Education
Anbil Mahesh Poyyamozhi completed a doctorate at National College, Tiruchirappalli. The research focused on the mix of education and computer science. Anbil Mahesh Poyyamozhis dissertation, titled "Physical Activity, for Skill Development Through Machine Learning " was done under the guidance of T. Prasanna Balaji.[8] The study gave a real data analysis of physical‑education activities. How they help overall skill growth in students. The study used machine‑learning‑based assessment methods to check results and find patterns, in student progress.[citation needed]