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yashraj sharma

yashraj sharma

Machine learning | AWS & GCP | Mobile Developer
Hamilton, Ontario

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About yashraj sharma:

  • Highly motivated individual with self initiating attitude, who likes to work around people as well as, will be able to bring high work ethics & dynamics to the firm. 
  • Worked with data gathering and extracting, pre-processing, data wrangling, to a complete machine learning data pipeline building and data modelling. 
  • Proficient knowledge in statistics, mathematics, business operations and analysis, and multiple programming languages. 
  • CI/CD using Microsoft Azure, deploying containerized applications on AWS, GCP,  Azure, and Heroku.
  • Team player, quick learner, and problem solver
  • Always leading the project beyond the expectations
  • Best professional of the year in February 2018 & October 2019 at Inextrix Technologies Pvt. Ltd

Experience

• 6 Years of total experience as a software engineer, with 4 years mobile application developer and 2+ years as a Data/ Machine Learning engineer.
• Proficient knowledge of statistics, mathematics, business operations & analysis, and multiple programming languages.
• Expertise in Python, Native Java, Kotlin, Flutter, C, C++, and HTML 5 programming languages.
• 5 years of experience in Git version control system, JIRA for bug tracking & agile project management.

Machine Learning Developer [September 2021- Present]

Research and Innovation Department, Lambton - Toronto, Ontario 

  • Performed time-series data wrangling, and pre-processing (data cleaning and data transformation(ETL)) onthecollected data using Python for restructuring the data as per the business needs 
  • Data visualization (time-series and GIS data) using Seaborn, Matplotlib, ArcGIS, and Foliumlibraries toget insightsinto data and present it to the team and the client 
  • Designed, implemented and evaluated new models and rapid software prototypes to solve problemsinmachinelearning and systems engineering 

Mobile Application Developer [July 2020- March 2021]

Royale Cheese - Gujarat, India 

  • Developed different Native Java, Flutter, and Kotlin based applications all with innovative logic requirements
  • Exceptionally developed a Smart parking application on Flutter language to resolve parking-relatedissues, ensuredbug-free applications and successfully published them on Google play store
  • Remarkable work on Google Firebase chat application, push notifications, retrofit APIs, Azure CICD, andModel-View-View Model(latest) Android architecture 

Mobile Application Developer [July 2017 - November 2019]

Inextrix Technology Pvt. Ltd. - Gujarat, India 

  • Developed majority VoIP-based-calling applications by using PJSIP library and performed on demanddebuggingsupport using C/C++ 
  • Developed city’s metro project application using SQLite database & retrofit APIs. Also worked on XMPPchat-relatedapplication (simillar to Whatsapp) where Ejjabered was used as a back-end
  • Successfully performed and deployed 15 varied projects during the time

Education

Post-Graduate certificate in Artificial Intelligence and Machine Learning [September 2020- April 2022]

  • Lambton College in Toronto, Canada 
  • E-commerce Price Monitor; to monitor the price fluctuation on user selected products and get the notifications and many other automated in built functions within the developed web application
  • Collaborative Hybrid Filtering; using of matrix factorization collaborative filtering and hybrid neural collaborative filtering 
  • Youtube Analytics; extracted the detailed information of all the Youtube video Ids using Youtube API and did furthermore data analysis. 
  • Twitter Topic modeling; scrapping tweets (using Twitter API), Pre-processing, Bag of words, Tf-Idf, LDA, visualization(Word Cloud, bar chart & frequency plot)
  • NLTK iBot; Jarvis the toddler bot created using NLTK to provide instant support to solve common customer queries regarding parcel tracking system and integrated weather & online cricket match APIs 
  • Galileo Solar; To detect the rooftop images and analyse whether roof has solar panels or not, and getting the prescribed size of solar panel that could be install in roof using power of HOG + SVM model, based on that marketing team could suggest the installation price directly to customers
  • Covid Detection; using the power of Tensorflow CNN, created a model that can detect Covid-19 based on X-ray images

Bachelor of Engineering in Computer Science [July 2013–April 2017]

  • Gujarat Technological University, Gujarat, India

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