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I am Rishabh Dwivedi, completed my master's at IIT Roorkee (2020-22) in Machine Design Engineering.Fascinated with the power of AI/ML in various Interdisciplinary domains which can improve existing technologies and bring a positive change. I have near about 1 year of experience on project working in Data Science Domain and Currently working as AI Engineer at Frinks Digital Technologies to develop highly accurate Quality Inspection system in the field of manufacturing using different Computer vision algorithms.

Education:

Data Science Bootcamp, Jovian (June 2021 - Feb 2022)

Courses: Python Programming, Statistics, Data Analysis & Visualization, Machine Learning,Deep Learning, SQL & Analytics Highlights: 600+ hours of coursework, 10 coding assignments, 3 projects (Web scraping, EDA, ML).

M.Tech,Indian Institute of Technology, Roorkee (July 2020 - June 2022)

Specialization in Machine Design Engineering (CGPA: 8.474/10) Among Top 5 National Finalists competing with 8K+ teams in D2C Innovation Challenge for Hero.

B.Tech,University of Petroleum and Energy Studies, Dehradun (July 2013 - June 2017)

Mechanical Engineering (Percentage- 85%)

Skills:

  • Python & Matlab Coding, Statistical testing, Blogs writing.
  • Data Analysis and Visualization (Numpy, Pandas,SQL, Tableau, Excel, Matplotlib, Seaborn, Plotly, folium, Dask, Parquet etc.)
  • Machine Learning (Data handling, Hypothesis testing, Scikit learn, Supervised & Unsupervised Models, Tuning etc.)
  • Deep Learning (Image Processing, GPU training, Pytorch, ANN, 2D & 3D CNN, ResNet etc.)
  • Domain Skills (Physics, Computer Aided Design, Finite Element Methods, Advanced Mechanical Vibrations, Material Science etc.)

Checkout some of my workings on Data science projects in the repositories 👍

Rishabh Dwivedi's Projects

custom_bgr icon custom_bgr

This is a repository to create your mlops pipeline for your custom background removal app, which can run on various models and various techniques in a single app.

mutimodal_network icon mutimodal_network

Two different networks CNN and RNN are connect to relate information between images and text

quick_compose icon quick_compose

intelligently suggest relevant sentences while composing an email

segmat icon segmat

Using Image Matting to improve the Segmentation results, which avoids the confusion between foreground and background in boundary pixels of each contour

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