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Hemapriya HHH
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Hemapriya H

@hemapriyah

Computer science graduate who developed an ML-based women’s grievance classification system with automated complaint routing and email alerts.

India
Message

I developed the WomanGrievance redressal system, an ML-based application that classifies women’s grievances using Python, NLP, SVM, LSTM, and Naive Bayes. I built its Flask front end with automated complaint routing and email alerts.

At iNodesystechnologies, I worked as a website developer using HTML, CSS, and JavaScript. At Reckitt (via Team Lease Edtech Ltd.), I trained sales representatives and distributors to use a mobile application and Distributor Management System Portal, and taught individuals to implement and manage a new ERP processor workflow.

Experience

Work history, roles, and key accomplishments

RE

ERP Implementation Trainer

Reckitt

Jul 2025 - Dec 2025 (5 months)

Trained individuals on implementing and managing a new ERP processor workflow within an organization. Also trained Sales Representatives and Distributors on a new mobile application and Distributor Management System Portal.

IN

Web Development Intern

iNodesystechnologies

Jul 2024 - Aug 2024 (1 month)

Worked as a website developer during the internship period, utilizing HTML, CSS, and JavaScript.

Education

Degrees, certifications, and relevant coursework

GC

Ganadhipathy Tulsi's Jain Engineering College

Bachelor of Engineering, Computer Science and Engineering

2021 - 2025

Grade: CGPA 8.47

Pursued a Bachelor of Engineering in Computer Science and Engineering, achieving a CGPA of 8.47.

TS

Thiruvalluvar Higher Secondary School

Higher Secondary Certificate, General Studies

2020 - 2021

Grade: 77.8%

Completed Higher Secondary Certificate (HSC) with a percentage of 77.8%.

TS

Thiruvalluvar Higher Secondary School

Secondary School Leaving Certificate, General Studies

2018 - 2019

Grade: 70.2%

Completed Secondary School Leaving Certificate (SSLC) with a percentage of 70.2%.

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