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Hey there!!

I am Shubham

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ABOUT ME

Being a 90's kid I have witnessed the change and advancement in the field of technology and I believe Information Technology is an incredibly exciting subject that will allow us to make a difference to the world and change it in a positive way.


I am a highly motivated and hardworking individual, who has completed his graduation in the field if IT and has worked in the fintech sector. Currently pursuing his masters in Singapore with eventual career goal is to skill up, gain experience with different technologies and bridge the understanding with business that shall be productive and helpful for the people around the world.

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B.Tech in IT
June 2015 to May 2019
Bhubaneswar, India

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Analyst
June 2019 to April 2022
Bangalore, India

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Senior Associate
April 2022 to Aug 2024
Hyderabad, India

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Masters in IT and Business
Aug 2024 to Present
Singapore

Skills

TECHNICAL SKILLS

PROJECT MANAGEMENT SKILLS

Portfolio

RECENT PROJECTS

Studify

E-commerce web application selling online courses with frontend deployed on netlify and backend has been deployed on render with APIs for the application

Server Details -

Backend : Render ⭐️⭐️⭐️
Frontend : Netlify ⭐️⭐️⭐️⭐️

Cinemate -

Your own Netflix based on the a prebuilt movie database where the application consuming an API to fetch the details of different movies.

Server Details -

Backend : TMDB API ⭐️⭐️⭐️⭐️
Frontend : Netlify ⭐️⭐️⭐️⭐️

Movie Recommender -

Helping you in suggesting your next movie based on database of more than 5000 movies. The recommendation model works on 'Bag of words' technique where based out of few important features, vectorization is done to find the similarities between the movies

Server Details -

Backend : Render ⭐️⭐️
Frontend : Render ⭐️⭐️⭐️⭐️

Soundsavvy -

Dive deep into the space of headphones with this ecommerce app. Have a look at the design and functionalities of an e-commerce app and get to know about it.

Server Details -

Frontend : Netlify ⭐️⭐️⭐️⭐️⭐️

SugarCheck AI -

The Diabetes Checkup Application predicts diabetes based on user-inputted health data using a trained Random Forest Classifier. Users can enter key health metrics such as glucose levels, blood pressure, and BMI, while the app provides predictions, statistical insights, and visual comparisons with training data. It also displays model accuracy to ensure reliable results.

Server Details -

Frontend : Streamlit ⭐️⭐️⭐️⭐️
Backend : Streamlit ⭐️⭐️⭐️⭐️

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