Sanjiv Anto
Tagline:Automation Professional| AI Student | Proficient in Automation, Control Systems, Data Analysis & Machine Learning | Leveraging AI for Data-Driven Insights in Manufacturing | Passionate about Innovating Automation Systems
Winnipeg, MB, Canada
About me
I am an Automation engineering professional with over 13 years of experience across food, automotive, pharmaceutical, and refining industries, driving year-on-year success in meeting project and growth objectives.
My academic journey commenced with a Bachelor of Engineering (BE) degree, specializing in Instrumentation, from Anna University. With a strong educational background, I have cultivated a deep understanding of cutting-edge technologies, including Big Data Platforms, Data Science, AI & Machine Learning. I firmly believe that academic rigor is the bedrock of innovation and that education is the key to unlocking the transformative potential of Artificial Intelligence.
Complementing my academic pursuits, I bring to the table a wealth of practical experience in the field of Automation Engineering. I have a demonstrated history of successfully navigating the complex landscape of process control engineering. My skill set encompasses a wide range of competencies, including expertise in Supervisory Control And Data Acquisition Systems (SCADA), Programmable Logic Controllers (PLC), Engineering, Automation, and Project Engineering.
My dual perspective, as both a scholar and a technologist, allows me to bridge the gap between academic theory and real-world application. I am passionate about leveraging technology to address tangible challenges and improve people's lives. As someone who is deeply committed to the integration of academia and industry, I eagerly seek opportunities to engage with like-minded individuals who share a similar passion for AI and Automation.
If you are interested in exploring collaborative academic research or discussing potential projects in the realm of AI and Automation, please feel free to reach out. Let's explore the synergies between education and industry, and together, drive forward innovation and progress.
Education
PG
from: 2023, until: 2024Field of study:Artificial IntelligenceSchool:UWinnipeg PACE
Bachelor of Engineering (BE)
from: 2005, until: 2009Field of study:Electronics and Instrumentation EngineeringSchool:Anna University
Work Experiences
System Integrator
from: 2024, until: presentOrganization:Celco ControlsLocation:Winnipeg
Sr. Automation Engineer
from: 2012, until: 2023Organization:Desmet BallestraLocation:Bangalore, India
Description:Programming logic controllers and SCADA systems (Supervisory control and data acquisition systems) using a variety of programming languages (statement list, visual basic, C, and so on), as well as documenting control sequences/algorithms for process control.
Sr.Application Engineer
from: 2009, until: 2012Organization:Agraj AutomationLocation:Bengaluru, Karnataka, India
Description:Machine Automation
Licenses and certifications
Certified Engineering Technologist
from: 2024, until: presentOrganization:Certified Technicians & Technologists Association of ManitobaLocation:Winnipeg
Querying Microsoft SQL Server
from: 2023, until: presentOrganization:LinkedinLocation:Online
Description:Microsoft SQL Server
Cyber Security
from: 2022, until: presentOrganization:Ingram MicroLocation:Bangalore
Description:Cyber Security Awareness Training
Functional Safety
from: 2021, until: presentOrganization:International Society of Automation (ISA) & TÜV Rheinland
Description:BASICS OF FUNCTIONAL SAFETY
Safety Certifications from OSHA
from: 2020, until: presentOrganization:Occupational Safety and Health AdministrationLocation:Online
Description:I have obtained many OSHA safety certifications on a variety of industrial safety themes such as electrical standards, confined spaces, chemical safety, and so on.
VCA Diploma
from: 2018, until: presentLocation:Brussels, Belgium
Description:VCA Diploma on Basic Elements of Safety
Certified Automation Profesional
from: 2009, until: presentOrganization:ITECH Protomation & Controls Pvt - IndiaLocation:Bangalore, India
Description:Certified on PLC programming, SCADA programming, control systems and instrumentstaion.
Projects
Edible Oil Refining Automation
date: 2012Organization:Desmet Ballestra
Description:I worked on a number of automation projects from the initial planning stage of the control system all the way through to commissioning and client handover. I worked with different control systems in 22 different countries to automate plants that prepare seeds, extract oil, and refine edible oil.
Academic Projects
IMPLEMENTING THE END-TO-END DATA MANAGEMENT AND ML PROJECT
date: 2023Organization:University of Winnipeg
Description:The goal of this project is to deliver an analysis of a Moroccan power consumption dataset and the application of a predictive model using machine learning techniques. The Linear Regression machine learning algorithm was used to predict power consumption based on the measured atmospheric temperature. The entire project was completed on the Google Cloud Platform with Google Cloud Storage, Dataprep, and Big Query.
DecisionTrees and Ensembles
date: 2023Organization:University of Winnipeg
Description:In this project, I created tree-based machine learning models to predict whether or not a person has the disease or not using the “diabetes.csv” dataset provided.
I programmed and evaluated tree-based classification models using multiple learning algorithms including Decision Trees, Random Forests, AdaBoost and Gradient Boosting.
Exploratory Data Analysis
date: 2023Organization:University of Winnipeg
Description:Business Scenario: An engineering firm specialized in supplying edible oil refinery plants and
equipment intends to apply data science on one of its refinery installations to investigate the
potential for energy savings and throughput enhancements, which will help them improve their
engineering and design for future projects.I used exploratory data analysis to investigate the automation dataset in order to discover previously unseen trends in the data, which can assist organizations gain insights from this data.
IMPLEMENTING THE STREAMING DATA PIPELINE USING GCP
date: 2023Organization:University of Winnipeg
Description:The Cloud Pub/Sub to BigQuery DataFlow template—a powerful tool within the Google Cloud ecosystem—is the focus of this project. This was done in order to figure out how to set up a streaming data pipeline that receives JSON messages from taxi drivers, analyzes them, and publishes the data to a BigQuery table. BigQuery Geo Viz was used to display taxi riders’ locations.
Neural Network: Deep Learning with CNN
date: 2023Organization:University of Winnipeg
Description:In this project, I did an image classification model using convolution neural networks (CNNs) and the cats-and-dogs images dataset from Kaggle.
I did the following in this project:
- Download the dataset
- Explore and preprocess the data
- Preprocess and prepare the data for modeling
- Develop a baseline model using 1, 2, and 3 blocks as in the VGG model
- Train and evaluate the models and report their results
CASE STUDY: S/4HANA Migration on Google Cloud
date: 2023Organization:University of Winnipeg
Description:This was a case study condusted in order to understand about LOTTE’s remarkable journey of migrating their S/4HANA operating infrastructure from on-premises to Google Cloud. As a company with over two decades of experience running SAP, LOTTE recognized the need for a zero-base core system renewal as the support for their current ERP solution approached its end of life. In this case study, we will delve into the details of LOTTE, their selection of SAP’s Managed Services, and their subsequent decision to migrate to Google Cloud, showcasing the significant benefits achieved
Linear Regression
date: 2023Organization:University of Winnipeg
Description:The primary objective of this project was to enhance my understanding of the linear regression machine learning model. The project was executed using Jupyter Notebook, a popular interactive development environment, with Python as the programming language. To implement the linear regression model, I leveraged the Scikit-Learn package, a robust machine learning library. The completion of this project enabled me to gain valuable insights into the workings of linear regression, its applications, and its practical implementation using these tools.
Machine Learning: Classification
date: 2023Organization:University of Winnipeg
Description:The goal of this project was to train and test classification models with various algorithms and then compare their performance on the test dataset using various measures of performance.
Chicago Crime Data Analysis
date: 2023Organization:University of Winnipeg
Description:Introduction:
In this project, I worked with a real and open dataset, the Chicago Crime
Dataset. This dataset reflects reported incidents of crime (with the exception of
murders where data exists for each victim) that occurred in the City of Chicago. Data
is extracted from the Chicago Police Department’s CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified.Objectives:
I tried to to explore, analyze, and draw inferences/suggestions with a
comprehensive report about the crime to the government of the City of Chicago.Employee Database Analysis
date: 2023Organization:University of Winnipeg
Description:Retrieve data from the employee database and provide information that will enable management to take a more data-driven approach to decision-making. In this project, I used SQL query language to achieve the necessary results.
Publications
Artificial Intelligence: The Key factor of 4th Industrial Revolution
ManuscriptDate:2023Authors:Description:Based on my industrial automation expertise, I wrote a paper titled Artificial Intelligence: The Key Factor of the Fourth Industrial Revolution. I researched plenty of books to prepare for my paper on this topic, which is of great interest to me.