Arul Goutham

ARUL GOUTHAM R MTech Student --,-Tamil Nadu, India www.linkedin.com/in/arul-goutham-r-7b- github.com/ArulGoutham EDUCATION Master of technology - Data Science Amrita Vishwa Vidyapeetham 10-2021 – 10-2023* Coimbatore, Tamil Nadu  University Roll Number - CB.EN.P2DSC21007  CGPA – 8.58 [upto First Semester]  Linear Algebra, Optimization techniques PROGRAMMING SKILL Numpy Pandas Tensorflow  Data Structures, Machine Learning Algorithms Matplotlib Bachelor of Engineering – Mechanical Engineering Kongu Engineering College 06-2012 – 07-2016 Seaborn Erode, Tamil Nadu  CGPA – 8.62/10 [Distinction with First Class] Machine Learning PROFESSIONAL EXPERIENCE Deep Learning Quality Assurance and Management Loesche Energy Systems India Private Limited German based OEM, with business interest ranging from design to manufacturing of Vertical Roller Mills for grinding of Coal 10-2016 – 11-2019 Chennai, Tamil Nadu  Organized MRM Meeting periodically - regarding agendas of Key Performance Indicator (KPI), achieved lowest failure rate of 0.1% in 2018-19 Scikit Learn Pyspark Pytorch  Established skill training center and Published pocket size handbook for guidance of Unit Employees CERTIFICATES  Implemented and consistently maintained ISO 9001-QMS, SAP QM end user  Evaluated New Vendor's & Coordinated with client for final product inspection  Handled Two Projects Obra C and Jawaharpur Thermal Power Plant from project initialization to dispatch in Quality Management Planning. Internship Trainee Tube Investment of India 03-2015 – 06-2015 Chennai, Tamil Nadu  Proposed optimum scrape utilization at Unit1- by using scrape for bundle wrapping of produced tubes, results in 3% reduction in scrape.  ISO- Internal Auditor QM  Spark and Python for Big Data with Pyspark, Udemy 08-2021  AWS Cloud Practitioner 08-2021  GATE 2021 – AIR 3322 03-2021 PERSONAL PROJECTS Finance Project: Future Price Prediction of Stock and Crypto using State of art VMD (Decomposition technique) 06-2022 – 07-2022  Performed VMD on the One Minute Time Series data followed by LSTM with Attention model and achieved less error rate of 137.15 Early Prediction of Sepsis from Clinical Data: The PhysioNet/ Computing in Cardiology Challenge- – 06-2022  Analysed the Time Series data, followed by Bi-LSTM and Bi-GRU model with attention mechanism and achieved 93.7% accuracy Exploratory Data Analysis (EDA) on Covid Clinical Trails dataset of M/s Quinbay Technologies Placement Challenge 05-2022 – 05-2022  Understood and Pre-Processed the Data, followed by Exploratory Analysis of different features and visualized using Seaborn and Matplotlib Data Analysis of M/s Caterpillar Data Challenge 04-2022 – 05-2022  Analysed the Data and constructed a basic static webpage to access the Visualization of the data insights created using Tableau Music Emotion Classification 03-2022 – 04-2022  Extracted the features from music/songs and done data augmentation. Classified the Emotions using ML Algorithms and DL Architectures (93% Accuracy) Binary Classification of Medical X-ray data 01-2022 – 02-2022  Performance Comparison of SVM, Random Kitchen Sink and ADMM optimization approach on Pneumonia X-ray images from Kaggle competition NLP Named Entity Recognition of Biomedical data 11-2021 – 12-2021 SOFTWARE & IDE SAP-QM Jupyter Notebook Google Colab SQL Matlab Tableau AWS-EC2 A/B Testing Atom  Named Entity Recognition of Biomedical dataset taken from NCBI website and obtained test accuracy of 88% Solar Energy Prediction from Weather data 02-2022 – 02-2022  Performed Energy Prediction from Weather data using Arduino, sensors and ML Algorithms - optimal location for mounting of solar panels based on gaussian mean Machine Learning Algorithms from Scratch 10-2021 – 12-2021  Explored Basic working concepts of SVM, Linear Regression, KNN, Random Kitchen Sink, Kmeans clustering, Naïve Bayes, Decision tree and Logistic Regression, where efficiency of each compared with respective datasets Hacker Identification using PySpark Clustering 08-2021 – 08-2021  Performed Clustering on AWS Cloud to identify Number of Hackers accessed the data. The Clustering is done using KMeans Clustering. ACTIVITIES  Scheduled and Assisted training program for Graduate Engineering Trainee (GET) 2019 and results of technical/skill evaluation is shared with program organizer for allocation among 3 Major Departments  Taken Initiative cum Organized Fire Safety and First Aid Procedure program and received best initiative appreciation for the year 2018 LANGUAGES English (Full Professional Proficiency) Hindi (Elementary Proficiency) Tamil (Native or Bilingual Proficiency)