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 | Cloud Architect | 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
Throughout my three-year journey in Engineering, I’ve gained valuable 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, efficiently managing large-scale data pipelines. Active participation in competitive programming contests has refined my problem-solving skills and enhanced my ability to devise algorithms from scratch. Specializing in PyTorch, I’ve developed projects focused on optimizing performance and achieving impactful results. My expertise extends to leveraging cloud architectures for efficient ML model deployment, and I have contributed insights through analysis reports on open-source datasets, showcasing my analytical abilities. Passionate about data, I have hands-on experience in data warehousing, cleaning, and real-time streaming processes. As a Computer Science student, I have also acquired proficiency in web frameworks and APIs, adding versatility to my skill set.
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
GeeksforGeeks
GeeksforGeeks (Secondary)
HackerRank
LeetCode
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.
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.
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.
Projects
Give a look to my featured projects.
- All
- MACHINE LEARNING
- DEEP LEARNING
- DATA ANALYTICS
Power BI Sales Dashboard 1
Practiced BI dashboard using multiple csvs taken from Kaggle
Power BI Sales Dashboard 2
Practiced BI dashboard on a sample data taken from Kaggle
Financial Preferences and Savings Goals Dashboard
Practiced BI dashboard on a sample data taken from Kaggle
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 .