ABOUT ME
I am Smit, currently working as an AI assistant with the National Research Council Canada (NRC). I am pursuing my Master's in Artificial Intelligence at the University of Ottawa, Canada. I have completed my Bachelor's in Information Technology at Government Engineering College, Gandhinagar, affiliated with Gujarat Technological University. Apart from graduating with the highest average GPA (9.55/10), I've worked on three international research papers and six lauded projects. I've gained a total of 2+ years of corporate experience in the domains of computer science such as Machine learning, Data Science, and Analytics, through my industrial internships. I am deeply interested in industry 4.0 technologies, such as AI, IoT, Blockchain, and DS. I like to read about FinTech law and financial markets.
EDUCATION
September 2022 - April 2024
MASTERS OF ENGINEERING
Masters of Engineering - Applied Artificial Intelligence - University of Ottawa, ON, Canada.
BACHELOR OF ENGINEERING - CGPA: 9.55/10
Bachelors of Engineering - Information Technology - Gujarat Technological University,
CLASS XII - GRADE: 93.23
Mathematics, Physics, Chemistry, Computer - Gujarat Secondary and Higher Secondary Education Board [GSHSEB]
CLASS X - GRADE: 99.87
Gujarat Secondary and Higher Secondary Education Board [GSHSEB]
PROFESSIONAL EXPERIENCE
NOKIA, CANADA
AI , CLOUD, & AUTOMATION ENGINEER
September 2023 - May 2024
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Developed an ML Engine for predicting network outages for Nokia's telecom clients across NA, APAC, and EMEA with 78% accuracy at specific locations.
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Integrated three live status and alarms monitoring software for WLAN devices across 550+ Nokia offices into a centralized dashboard, enhancing 65% operational efficiency.
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Contributed to 10+ cloud and automation initiatives in collaboration with Nokia's Dallas, Helsinki, Espoo, Shanghai, and Bangalore offices.
UNIVERSITY OF OTTAWA
COLLABORATOR:
NATIONAL RESEARCH COUNCIL CANADA (NRC)
DATA ENGINEER
March 2023 - August 2023
Guide: Dr. Lora Ramunno
● Collaborated with cross-functional, cross-territory teams from the National Research Council Canada, Hannover Centre of Germany, the University of Ottawa, and Max-Planck Club on a project to develop an alternative to fiber optics for transmitting high-speed data to Canadian northern territories (Yukon, Northwest, Nunavut) economically.
● Simulated the metamaterial device with existing software, scanned over many design parameters for data collection; pre-processed, stored, and organized the collected data.
● Trained deep neural networks on the data to create surrogate models that replaced the simulation software.
● Developed an AI-based optimization algorithm to solve the inverse problem, which is to specify the metamaterial-based device that gives the desired optical response.
● Shared insights effectively with interactive visualizations, using Power BI dashboards to help the team identify trends, gain insights from experiments, and make informed decisions.
WEHEAR INNOVATIONS PRIVATE LIMITED
DATA ANALYST
April 2020 - August 2022
Guide: Mr. Kanishka Patel (Co-founder & CEO)
• Created speaker recognition, audio dictation, and environmental classification systems using MFCC, RNN, and NLP with Google Translate API and deployed them on hearing aid devices, manufactured by this Start-up, using a data pipeline through android apps.
• Analyzed consumer data collected with Meta Business Suite to optimize marketing campaigns of WeHear on Facebook & Instagram, resulting in a 150% higher conversion rate.
Skills: Flexibility · Artificial Intelligence (AI) · Python (Programming Language) · Machine Learning · Kubernetes · Natural Language Processing (NLP) · Data Engineering · Extract, Transform, Load (ETL) · Speech Recognition · CI/CD · Communication · Problem Solving · Data Science
INSTITUTE OF TECHNOLOGY, NIRMA UNIVERSITY
RESEARCH INTERN
September 2019 - March 2020
Guide: Dr. Sudeep Tanwar (Professor)
• Worked on a series of research projects in the domain of blockchain and autonomous vehicles by collaborating with international authors and universities, namely, the University of Kentucky and Durban University.
• Designed viable solutions by utilizing Blockchain, AI, and its subdomains such as distributed systems, cloud computing, big data, image processing, and cost-optimized development to put forward our solutions and drafted 3 research papers for international journals.
• Proposed a hybrid model of LSTM and GRU to forecast the accurate prices of Litecoin and Zcash in four different window sizes by mapping the interdependency between coins and their parent currencies, such as Bitcoin, in order to contemplate market sentiments.
• Developed an 86% accurate Deep Learning-based modified neural network to detect any potential bugs, faults, or malfunctioning in the software of an autonomous vehicle and outperformed state-of-the-art techniques.
Skills: Python (Programming Language) · Machine Learning · Deep Learning · Data Mining · Data Visualization · Cryptocurrency · Financial Markets · Trading Strategies · Autonomous Vehicles · Time Series Analysis · Big Data · Data Analytics · Programming · Communication · Problem Solving · Data Science · TensorFlow
INNODEL TECHNOLOGIES PVT LTD
MACHINE LEARNING INTERN
March 2019 - August 2019
Guide: Mr. Chirag Shah (Founder and CMD)
Was responsible for creating and deploying several ML and Data Science solutions, using a large amount of analyzed data, for private and government sector clients, such as a data analytics project for the ‘C-Plan’ application of the UP police department.
PUBLICATIONS
INTELLIGENT SYSTEM TO DETECT SOFTWARE DEFECTS IN AUTONOMOUS VEHICLES
Computers and Electrical Engineering Journal - Elsevier
Proposed a Deep Learning-based modified neural network to detect any potential bugs, faults, or malfunctioning in the software of an autonomous vehicle. The proposed model outperformed state-of-the-art techniques, such as classical ML models and the Auto-ML model.
DEEP LEARNING-BASED CRYPTOCURRENCY PRICE PREDICTION SCHEME WITH INTER-DEPENDENT RELATIONS
IEEE Access Journal
Proposed a hybrid model of LSTM and GRU in order to forecast the accurate prices of Litecoin and Zcash in four different window sizes.
The interdependent relations between coins and their parent coins were also explored and Bitcoin’s direction, which was used to know about market sentiments, was also added to the proposed model.
PROJECTS
EXPLORATORY DATA ANALYSIS ON WHO LIFE EXPECTANCY DATA
Detailed analysis of the data of developing and developed nations’ citizens collected by WHO is carried out to find meaningful insights from the given data. Various parameters including life expectancy, infant deaths, various diseases such as Polio and HIV, and basic habits of the citizens are taken into consideration. This project aims to find out specific problems in each region so that they can be solved to increase life expectancy, standards of living, and happiness index of the citizens. Linear Regression, Mixed Effect Model, and Deep Neural Network is used for forecasting the value of life expectancy.
COLLEGE CAMPUS RECRUITER
A detailed analysis of graduate students who participated in on-campus interviews. Various parameters of the employers and qualities and expertise of the students are considered to make predictions about the package. This project can give accurate insights into what employers are looking for and what students should target to land a job at their dream organization. It can also be used for predicting the selection chances of upcoming cohorts.
ONLINE PLATFORM FOR PASSENGER PASSES OF STATE ROAD TRANSPORTS
It is very inconvenient to generate a new bus pass offline in India because of inefficient operations and long queues.
This site manages all the operations related to students’ passes, such as generating a new pass, updating the existing pass, authentication, and payment, with an easy UI design, and it is functional 24/7.
THE DETECTION OF A MALIGNANT TUMOR IN THE BREAST
1 out of every 8 women has a chance to get breast cancer in her life and that makes breast cancer the most common cancer in the world, so It becomes essential to detect it in the prior stages.
32 features related to dimensionality and texture are taken into consideration for the prediction of the disease, and out of all models that are used, ANN achieved the highest prediction accuracy with 97.9%.
CARDIOVASCULAR DISEASE FORECASTING SCHEME
On average, around 17.9 million people die from Cardiovascular Diseases (CVD) every year. Over a quarter of these deaths take place in India, making it the CVD capital.
To detect this, In this project, 14 features, such as cholesterol, blood pressure, and blood sugar, were analyzed to predict whether the patient has CVD or not using 5 ML models.
The prediction accuracy achieved was 98.83%. Hyperparameters were optimized, and the results of the ML models were compared using different graphs
EXTRACURRICULAR
MAX PLANCK – UOTTAWA CENTRE FOR EXTREME AND QUANTUM PHOTONICS
MEMBER
April 2023 - Present
Exploring the use of Artificial Intelligence in nanophotonics, nonlinear optics, imaging, and extreme light-matter interaction by collaborating with leading experimental and theoretical scientists, including the NRC-UOttawa Joint Centre for Extreme Photonics (JCEP).
HELPING HANDS FOUNDATION (NGO)
June 2019 - June 2020
Includes various volunteering activities and community services such as food distribution in slums, educational kits and books distribution to primary school students, and donating time to orphanage houses, old-age homes, government hospitals, and nursing homes
TESTIMONIALS
Smit's ability to work on complex topics and explore new things makes him an exceptional researcher and technical writer. His mathematical formulations and arguments are very logical. His discipline helps him to cope with unknown fields, and his passion helps him to delve deeper. A sincere student and a great research intern.
Dr. Sudeep Tanwar
Professor - Nirma University
Smit is very innovative in his ways to solve new problems in the field of Deep Learning. He has a profound knowledge of the subjects and can easily apply it in the real world. Moreover, Smit is very passionate about start-ups and wants to learn about businesses and entrepreneurship. I wish him success in his future endeavors.
Mr. Kanishka Patel
Co-founder and CEO
Wehear Innovations Pvt Ltd
Apart from his technical expertise, Smit is very ambitious yet humble. His team spirit, humility, and moral values help him maintain a professional network with every department. He brings positivity and enthusiasm to the team was one of the best interns I've ever had.
Mr. Chirag Shah (CEO - Innodel Solutions Pvt Ltd)
I had the pleasure of mentoring Smit at 8dots for six months. His ability to understand complex things and come up with innovative solutions in the field of web development is impressive. Smit would be an asset to any team.
Mr. Kamal Parmar (CEO - 8dots Pvt Ltd)
Smit does not need any testimonials because his knowledge and experience speak for himself. He is a fast and independent learner and genuinely passionate about AI and Data Science. Apart from his studies, he is often involved in various campus-related activities.
Prof. Komal Anadkat (Government Engineering College, Gandhinagar )
Smit possesses very good quantitative, mathematical, and programming skills, which makes him good at core concepts of computer science such as Data Structures, DBMS, Algorithms, OS, and Software engineering. He is good at learning theories in classrooms and practicals in labs, which makes him one of the top excelling students in his class.
Prof. Hetal Chauhan (Government Engineering College, Gandhinagar)
Feel free to contact me for more information about my referees or to contact them for any information about my candidature. Thank You
