Engineer Engineering
Resume:
Aug **** -
Present
ARPUTHARAJ
Contact
******************@*****.***
No-1/47, venkatesa nagar,1st street, exten
sion-1, virugambakkam,chennai-600092
https://www.linkedin.com/in/arputharaj-s-
26150b1b8
Personal Details
Date of Birth : 29/10/1993
Marital Status : Single
Nationality : INDIAN
Father Name : M.SURIYAN
Skills
OBJECTIVE
To enhance my professional skills, capabilities and knowledge in an organization which recognizes the value of hard work and trusts me with responsibilities and challenges.
EXPERIENCE
SPLENDIO TECHNOLOGIES
MACHINE LEARNING ENGINEER
EDUCATION
SRI SIVASUBRAMANIYA NADAR COLLEGE OF ENGINEERING
MASTER OF ENGINEERING/MANUFACTURING ENGINEERING
8.19
JAWAHAR ENGINEERING COLLEGE
BACHELOR OF ENGINEERING/MECHANICAL ENGINEERING
6.73
PROJECTS
Sep Cure
Sepsis is a life threading condition caused by body's response to infection is out of balance, triggering changes that can damage multiple organ system. It has stages namely sepsis, severe sepsis and septic shock. Our classifier will predict the sepsis using the user symptoms like Heart rate, BP, bilirubin count and more. In this I didn’t get any dataset so that I collected the symptoms and every detail about every stage and created a perfect dataset by using the Pandas and Numpy packages. Training the ML model using Random Forest (more accuracy rate) and created the pipeline using Pickle package so that for every request it don’t need to train the model to predict and Interpreted in the web application hosted by Flask Framework. Visualization and the dashboard have been done by using plotly dynamically. Leave Management Chabot
In most organizations to apply for leaves employees need to log into the HR system from their office network using their office computer. This makes a simple process of leave application full of friction. Searce simplified this process using a Leave Management Bot in Workplace Chat where any employee can simply use the bot on their mobile phone from the field to apply for leaves. The bot immediately sends a notification to the manager for approval and enters everything in the HR system automatically. The bot sends the employee a confirmation on Workplace chat as soon as the manager responds to the leave request. Automated Facial Recognition System for Employees
Automatic Facial Recognition System is basically an automated identification system that can recognize any individual whose facial features and informations like employee id, qualification, address etc. are stored in the database. In the coming years, this technology can very well be employed by all the corporate offices to track the employees entering the premises. The facial recognition system follows a fixed procedure to detect the individuals in front of the camera and then automatically updates their informations which has been already stored in database. For this we use Open CV for face recognizing and we have used LBPH Face recognizer algorithm for predicting the faces. Informations have been stored by SQlite3 database and it will be retrieved back when employee is in front of camera. Further, interpreted in the web application hosted by Flask framework by using java script, jquery and ajax.
NUMPY,PANDAS 60%
OPENCV,TENSORFLOW 60%
MATPLOTLIB,SEABORN,PLOTLY 60%
SCIKIT LEARN, ML ALGORITHMS 60%
MY SQL 60%
MICROSOFT OFFICE 80%
FLASK 80%
KERAS,CNN 80%
Language
Tamil
English
Interests
Playing Cricket
Watching Movies
Listening songs
Diabram
Diabetics is not a disease it is a deficiency. Our major criteria are to manage diabetics in range. Our methodology of making it possible is by collecting their data in daily basis. It can be done by collecting their sugar level before and after meal. We are analyzing their food by means of its quantity, quality and their intake level. Every individual may vary in their sugar level based upon their body conditions, our major purpose is to identify how their body reacts to food, workout and medicines. Using these data we are predicting sugar level of the cases and we are recommending controllable measures like preferable diet structures, workouts and consulting doctors when it is above controllable range. CERTIFICATIONS
PYTHON DEVOLOPER VIA DATACAMP
DATA SCIENTIST VIA DATACAMP
DASHBOARD 60%
DATA PREPROCESSING 80%
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