Anto Lourdu Xavier Raj Arockia Selvarathinam

Data Analyst with Broad-based experience in building data-intensive applications, overcoming complex architectural, and scalability issues in diverse industries. Proficient in predictive modeling, data processing and data mining algorithms, as well as scripting languages, including Python and Java. Capable of creating, developing, testing, and deploying highly adaptive diverse services to translate business and functional qualifications into substantial deliverables.

• Step Into Robotics Process Automation, GUVI Geek Networks
• NCC Covid19 Awareness Certification, Loyola-ICAM College Of Engineering And Technology
• Data Science In Digital Marketing, Google Digital Unlocked
• A-Z Data Science Certificate Of Completion, Udemy
• What Is Data Science ?, IBM
• The Data Scientist's Toolbox, The John Hopkins University
• Statistical Interference, The John Hopkins University
• Reproducible Research, The John Hopkins University
• Regression Model, The John Hopkins University
• R Programming, The John Hopkins University
• Practical Machine Learning, The John Hopkins University
• Learn to Code With Python3, Udemy
• Getting And Cleaning Data, The John Hopkins University
• Exploratory Data Analysis, The John Hopkins University
• Data Science Orientation, Coursera
• Tools For Data Science, IBM
• Python For Data Science And AI, IBM & Coursera
• Programming In C, Sona College Of Technology
• Developing Data Products, The John Hopkins University
• Databases And SQL For Data Science, IBM & Coursera
• Data Science Methodology, IBM & Coursera
• Data Science Capstone, The John Hopkins University
• Data Analysis With Python, IBM & Coursera, My Captain
• Machine Learning With Python, IBM & Coursera
• IBM Data Science, Coursera
• Data Visualization With Python, IBM & Coursera
• Data Science Professional Certificate, Coursera
• Big Data Workshop On Covid-19 Lockdown Analysis, Edureka
• Applied Data Science Capstone, IBM
• Visualizing Citibike Trips With Tableau, Coursera Project Network
• Predictive Modelling With Azure Machine Learning Studio, Coursera Project Network
• Pandas Python Library For Beginners In Data Science, Coursera Project Network
• NLP : Twitter Sentiment Analysis, Coursera Project Network
• Merge, Sort And Filter Data In Python Pandas, Coursera Project Network
• Introduction To Python, Coursera Project Network
• Intro To Time Series Analysis In R, Coursera Project Network
• Getting Started In Google Analytics, Coursera Project Network
• Exploratory Data Analysis With Seaborn, Coursera Project Network
• Exploratory Data Analysis With Python and Pandas, Coursera Project Network
• Create Interactive Dashboards With Streamlit And Python, Coursera Project Network
• Covid19 Data Analysis Using Python, Coursera Project Network

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Multiple Heterogeneous Information Source

INTERNATIONAL ACADEMIC JOURNAL OF SCIENCE AND ENGINEERING (IAJSE), ISSN 2454 - 3896, May 7 2021

Publication URL

https://drive.google.com/file/d/198S3dVwgdnJ14eZwkT-6Py6v-BPDtmC9/view?usp=drivesdk

Description

- In Multiple Heterogeneous Information Sources (MHIS) one base station network namely ad-hoc network receives internet from cloud and shares those internet to various electronic gadgets through data transmission cable or by light weight sensor.

- Here ad-hoc network refers to primary source and electronic gadgets refers to secondary source. while transferring data to secondary source some transmission loss occurs which reduces the arrival rate and in my paper I used the transmission loss terminology as packet loss and this packet loss can be rectified by using Rapid package transmission algorithm(RPTA).

- The main role of RPTA algorithm is to remove the duplicate packet loss from the source network and transfers the speedy packet flow transmission without any loss to the destination (i.e second source).

- I used two mechanism namely fault tolerant mechanics(FTM) and fault detection mechanism (FDM) in my proposed method. FTM can be applied to sensor networks for the maximum availability of operating node connectivity between source and destination of sensor network. In FDM wireless hubs are used to overcome any packet drop loss in source and destination of sensor network. wired hubs are used for tunneling and traffic examinations of network sources.

- In result and discussion the analysis of packet delivery ratio is used to test the quality of the source and destination network, end to end delay is the difference between sender and receiver time in optimization and clustering of network sources and throughput ratio defines how much node.

Video Stream Analysis In Clouds Framework For High-Performance Video Analysis Using Video Synchronization Analysis Algorithm

International Research Journal Of Engineering And Technology(IRJET) An ISO 9001:2008 Certified Journal, Jun 19, 2021

Publication URL

https://drive.google.com/file/d/1WXCYwiQuuOxsLr5OuV_DEuAsPnuvq5Yv/view?usp=drivesdk

Description

- The main motive of this publication is to overcome inaccurate information in human involvement. This achievement can be done using high performance video analysis by cloud computing.

- This theorithical scenario helps to minimize human intervention, time calculations and enables large number of processing video streams.

- In proposed video processing platform I have used video synchronization analysis algorithm (VSAA) in order to deliver high data transmission performance and to evaluate large number of video streams to reduce data transmission.

- My work has been primarily divided into two sub evaluation. First Evaluation is to evaluate the extensibility of the information platform and Second Evaluation is to perform a node in personal cloud. The main role of node is to limit the actual experimental measurements

- In video networks this terminal application is used in processor power, screen resolution to adapt different source code and to be decoded.

- In Hadoop based platform services the role of video stream analysis in cloud frameworks have it's own impact compared to any other.

- Video analysis framework is utilized to store unique recording. The weblog documents record the conduct of interpersonal video applications that clients can access through it at their leisure time.

- I have used Sparkle framework in my research work. The main advantage of sparkle is a quick framework that can be able to handle huge information analytics applications.

- Video Synchronization is a proposed system in video analysis algorithm. In framework Video Synchronization helps in processing video streams efficiently and reduces processing delays using an installation server in cloud.

- Administrators utilizing this structure indicate logical standards and video span transfers for examination in VSAA

- In Video transfer flow the framework is installed on a cloud computing server and uses a GPU to reduce latency in video analytics process.

- Results are obtained precisely.

Scientific Comprehension Of Learning Particularly Deep Learning Algorithms

International Research Journal Of Engineering And Technology(IRJET) An ISO 9001:2008 Certified Journal, Aug 31, 2021

Publication URL

https://drive.google.com/file/d/15VF5KBLkQtVyW0OSjOyLasGwkMVBV_fG/view?usp=drivesdk

Description

- Healthcare organizations of all sizes, types and specialities are becoming increased.

- DL is becoming transformative for healthcare Deep learning provides automatic detection of interactive automatic exploration of the object features and functionality.

- However, in the medical analysis, it has not yet been fully developed its potential. To solve above issues Restricted Deep Boltzmann Machines (RDBM) is proposed algorithm it provides a new and effective paradigm in order to obtain the end-to-end learning model, from complex data.

- DL and other performance of ML technology in the context it will increase data size. The main advantage of the increase in DL large-scale architecture, the existing data will also increase the size of the DL.

- In general, medical field, deep learning will provide the features and functions and interactive auto-discovery and auto-detection of the object.

- Deep learning, paved the way for hospitals, by providing a cloud service provider, and the power and efficiency unprecedented in the mining multimodal unstructured information of large stored in research institutions, because of the personalized health management.

- The purpose of these method is to emphasize the application of important principles and DL in the health care and medical fields.

- The proposed algorithm Restricted Deep Boltzmann Machines (RDBMs) has two layers which are visible and hidden layers. Hidden layers made with nodes it extract feature information from the data then output is calculated with sum of input layers.

- Deep learning algorithm has been used as being the main data set and it is balanced application or synthetic data, has been added in order to achieve workaround.
- Wide spread of EHRs, and a large amount of information is urgently require effective tool to convert the data into the conclusion, knowledge and action.

- Wide spread of EHRs, and a large amount of information is urgently require effective tool to convert the data iaction.

• Classify Suspected Infection In Patients
• Covid 19 Data Analysis
• Time Series Analysis
• Tumor Diagnosis Using EDA
• Explore Business Analytics
• Explore Decision Tree Algorithm
• Prediction Based Model On Linear Regression
• Unsupervised Machine Learning Using Clusters
• Movies Recommendation System Using CF
• Statistical Analysis Of User's Banking Aspects Using Tableau

Covid 19 Crowdfunding Award

Issued by Hamari Pahchan NGO • Jun 2020

- Received a certificate from Sarvesh Agarwal CEO(Hamari Pahchan NGO) for Covid 19 Crowdfunding Awareness program done through intershala.

Best Public Speaker Award

Issued by Sona College Course Instructor • Nov 2019

- Spoke about the importance and values of "IOT" at college level.

- Through this topic. I engaged myself giving various examples collecting data from various domain and sources.

- Also displayed much more orientation video and ideas on IOT during my presentation.

- Highlighted point I've mentioned in my conclusion is with the help of IOT. The productivity level and economic level get raises day by day with huge impact factor.

Guiness World Record

Issued by Elite, Asian, Indian, Tamil Nadu World Records Private Limited • May 2016

- Made a Guiness World Record by a team for Longest Indian Folk(Live Music) Concret for nearly 43hrs.

- I am one of the participant to achieve and accomplish the record.

- This approval is given by Elite World Records Pvt Ltd, Asian Records Academy, Indian Records Academy, Tamilian Book Of Records.

Best Sportsmanship Award

Issued by Principal, Holy Cross Matriculation Higher Secondary School • Nov 2013

- By analyzing my past and current achievements in sports activities.

- My school awarded me as "Best Sportsmanship Award" during my school sportsday in the year 2013.

Excellence Education Award

Issued by Anna University Vice Chairman • May 2011

- Won Gold medal in securing more Marks among all students at School level for consecutively five years.

Best Public Speaker Award

Issued by Principal, St John's Matriculation Higher Secondary School • Aug 2010

- Interschool cultural competition had been conducted in my school when I was in 3rd grade.

- At that time I've participated and won first prize.

- The topic which I had spoke is based on "Harmony".

Golden Pencil Award

Issued by Principal, Camilin Chairman • Sep 2007

- Nearly 100 students from my school participated in Camilin Handwriting Competition.

- Among all, My handwriting had been chosen as the best and got certificate as well as medals from Camilin Chairperson in the year 2007.