Experience

Smart Paper

• India
• E-Learning Providers
• 1 - 100 Employee

• Data Science Intern

  • Jan 2022 - Present

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Omdena

• United States
• Software Development
• 400 - 500 Employee

• Machine Learning Engineer

  • Jun 2021 - Aug 2021

  ● Lead the task of data cleaning and data annotation, where our team has cleaned and annotated around 4000 bus images and 1000 empty seat images, and 30 bus videos.● here I helped in developing the youtube-crawler where we downloaded the YouTube-videos and fetched different frames and identified unique photos from them and automated that process.● collaborated on the task of empty seat identification where I helped to develop a YOLO-v5 model to identify the empty seat. ● Lead the task of data cleaning and data annotation, where our team has cleaned and annotated around 4000 bus images and 1000 empty seat images, and 30 bus videos.● here I helped in developing the youtube-crawler where we downloaded the YouTube-videos and fetched different frames and identified unique photos from them and automated that process.● collaborated on the task of empty seat identification where I helped to develop a YOLO-v5 model to identify the empty seat.



Omdena Bangladesh Chapter

• Bangladesh
• IT Services and IT Consulting
• 1 - 100 Employee

• Data Analyst

  • Jul 2021 - Jul 2021

  ● Curated a big dataset from the different newspapers about accident details.● identified which are the root cause of the accidents and which areas or which vehicles are more involved and present it beautifully using different visualization tools and dashboard, this task was lead by me.● Identified machine learning algorithm and hyper-tune it.● deployed it using stream-lite, and created a tableau dashboard ● Curated a big dataset from the different newspapers about accident details.● identified which are the root cause of the accidents and which areas or which vehicles are more involved and present it beautifully using different visualization tools and dashboard, this task was lead by me.● Identified machine learning algorithm and hyper-tune it.● deployed it using stream-lite, and created a tableau dashboard



Omdena Pennsylvania Chapter

• United States
• IT Services and IT Consulting
• 1 - 100 Employee

• Junior machine learning engineer

  • Jul 2021 - Jul 2021

  ● Identified the factors which contribute most to the success of start-ups in the USA using statistical analysis, which is lead by me.● Done visualization of the impact of the factors on the success using flourish.● Used Machine learning models like LiteGBM, XGM, XGboost to predict the success rate of start-ups.● Deployed the model using streamline ● Identified the factors which contribute most to the success of start-ups in the USA using statistical analysis, which is lead by me.● Done visualization of the impact of the factors on the success using flourish.● Used Machine learning models like LiteGBM, XGM, XGboost to predict the success rate of start-ups.● Deployed the model using streamline