Arup Sankar Roy

Learning & Practicing

About

Coding enthusiast passionate about Computer Vision,Machine Learning,data analytics, and AI. Experienced in developing solutions that extract insights from data. Lifelong learner committed to staying at the forefront of technological advancements.

Computer Vision Enthusiast | Machine Learning Engineer | Data Analyst

Let me introduced myself.

  • Birthday: 14 November 2000
  • Phone: +919679713408
  • City: Jalpaiguri , West Bengal
  • Freelance: Available
  • Age: 23
  • Degree: B.E in CSE(2022-Current)
  • Email: asrl20221078.cse.uit@gmail.com

Passionate about Computer Science, I derive exhilaration from the art of coding, drawing inspiration from diverse sources. During downtime, I find rejuvenation in gaming—a refreshing escape that invigorates my mind. Engaging in outdoor cycling not only keeps me energized but also serves as a wellspring of inspiration. Moreover, I treasure my free time by immersing myself in the cinematic world. This harmonious fusion of technology, creativity, and outdoor pursuits defines my continuous exploration in Computer Science—an enduring journey of knowledge and self-discovery. Every day, I eagerly embrace new challenges, tackling them with enthusiasm and a readiness to contribute to the ever-expanding realm of knowledge.

Facts

These show my current status as a learner and practitioner.

Hours Coded

Projects

Problem Solved in DSA

Skills

Over my three-year journey in Engineering, I've absorbed insights from both industry professionals and college peers, enriching my skill set. I seamlessly connect basic data structures and algorithms to complex Machine Learning models, managing large-scale data pipelines with efficiency. Active participation in competitive programming contests has sharpened my ability to swiftly devise algorithms from scratch. Specializing in PyTorch, I've developed projects aimed at optimizing performance and delivering impactful results. My expertise extends to leveraging various cloud architectures for efficient ML model deployment. I've contributed valuable insights through analysis reports on open-source datasets, showcasing my analytical skills. Passionate about data, I have hands-on experience in data warehousing, cleaning, and real-time streaming processes. As an Computer Science student, I've also acquired proficiency in web frameworks and APIs, adding a versatile layer to my skill set.

DEEP LEARNING 8.5
MACHINE LEARNING 9.5
NUMPY | PANDAS | OS | GLOB9.5
MAPLOTLIB | SEABORN | PLOTLY9.0
SKLEARN | XGBOOST | CATBOOST | LIGHTGBM9.5
PYTORCH8.0
COMPUTER VISION 8.0
OBJECT DETECTION | SEGMENTATION 9.0
PYTHON9.0
JAVA9.5
SQL7.0
GIT7.0
HTML | CSS | FLASK6.5

Carrier Path

Resume Link

Sumary

ARUP SANKAR ROY

Enthusiastic Data cum ML Engineer who writes optimized and understandable code to handle large and complex data related tools.

  • Silpasamiti Para , Jalpaiguri. Pin Code-735101
  • (+91) 9679713408
  • asrl20221078.cse.uit@gmail.com

Education

BACHELOR OF ENGINEERING

2022 - 2025

University Institute Of Technology, Burdwan, West Bengal

Computer Science and Engineering

DIPLOMA IN CIVIL ENGINEERING

2019 - 2022

Jalpaiguri Polytechnic Institute, West Bengal

Diploma In Civil Engineering

HIGHER SECONDARY (+2)

2017 - 2019

Sonaulla high school, Jalpaiguri, West Bengal

Science Major, aggregate: 77.6%

SECONDARY (10TH)

2011 - 2017

Fanindradeb Institution, West Bengal

Aggregate: 68%

Coding Profiles

GITHUB

ArupSankarRoy

GEEKS FOR GEEKS

arup2000

GEEKS FOR GEEKS-2nd

colabnothtx6

Professional Experience

DATA SCIENCE INTERN

Jan 2024 – May 2024

iNeuron Intelligence Pvt. Ltd. , India

  • Implemented TripleMRNet Architecture, utilizing AlexNet and ResNet18 architectures to process MRI images from axial, sagittal, and coronal planes.
  • Conducted in-depth analysis of tear types, providing insights into their severity and probability.
  • Built a web application for doctors and patients to sign in and generate reports based on MRI analysis.
  • Implemented data preprocessing techniques including reshaping, normalization, and image augmentation to enhance model performance.
  • Automated the classification process, improving diagnostic efficiency and accuracy.
  • Generated visualizations, such as bar plots and pie charts, for detailed analysis and interpretation of results.
  • Ensured secure data handling and storage, maintaining patient confidentiality and compliance with healthcare regulations.
  • Provided comprehensive documentation and user guides to support application use and understanding.
  • Completion Certificate

Data Science Virtual Internship

Aug 2023 - Aug 2023

CodersCave , Remote , India

  • Conducted Exploratory Data Analysis (EDA) on Global Terrorism Database:
    • Utilized Numpy, Pandas, Matplotlib, Seaborn, and Plotly for comprehensive data analysis.
    • Implemented Choropleth maps, Bar Plots, Area Plots, Pie Charts, and Heat Maps for insightful visualizations.
    • Unveiled security implications and patterns in global terrorism trends.
  • Performed Email Spam Detection:
    • Utilized the NLTK library for natural language processing tasks.
    • Implemented text preprocessing techniques to clean and standardize email data.
    • Employed feature extraction methods to capture relevant information for machine learning.
    • Applied machine learning techniques to achieve accurate classification, effectively highlighting potential spam emails.
  • Completion Certificate

Machine Learning Virtual Internship

Aug 2023 - Aug 2023

TechnoHacks EduTech , Remote , India

  • Diabetes Prediction:
    • Utilized the Random Forest Classifier for predictive modeling.
    • Achieved an impressive 88% accuracy in diabetes prediction.
    • Implemented data visualization techniques to gain insights into the dataset.
  • Fraud Transaction Detection:
    • Utilized the CatBoost algorithm for fraud detection in transactions.
    • Attained a high accuracy rate of 97% in handling an imbalanced dataset.
    • Applied the Imblearn library to address challenges posed by imbalanced data.
  • Wine Quality Prediction:
    • Implemented AdaBoost and K Nearest Neighbor algorithms for wine quality prediction.
    • Achieved a notable accuracy of 91% in predicting wine quality.
    • Obtained a precision score of 0.93, indicating the model's ability to make accurate positive predictions.
  • Completion Certificate

Portfolio

Give a look to my featured projects.

  • All
  • MACHINE LEARNING
  • DEEP LEARNING
  • DATA ANALYTICS

HOUSEHOLD ENERGY CONSUMPTION PREDICTOR

Household Energy Consumption Prediction web app

THE ENTITY

A Hybrid Video Analysis Computer Vision Web Application

INTELLIGENT RADIOLOGIST ASSISTANT

iNeuron Intelligence Pvt. Ltd. internship project on classifying tears in knee MRI scans.

JUNKY

AI powered trash detection system

CAPM

Capital Asset Pricing Model

ACHIEVEMENTS

I believe learning is a constant thing , all you have to do is learn and share, still it is must to showcase the gifts you bag in your path .

CodeBird Hackwitz 2k23

Rank : 5 out of 50+ teams

ML | AI | DS TechLead

TechLead of CodeBird Machine Learning Domain(2023-present)

SIH Internal Hackathon Participant

Smart India Hackathon Participant

Testimonials

ByteX AI

Advanced AI System

Innovative approach, consistently impressive.

DataWizard

Advanced AI System

Superb work, exceeded all expectations!

QuantumSynth

AI-Powered System

Great job, truly stellar performance!

TechOrbit

AI-Powered System

Fantastic results, keep it up!

Contact

Location:

Silpasamiti Para , Jalpaiguri , West Bengal , PIN-735101

Call:

+91 9679713408

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