Hi, I'm Rudraneel
Data Science, Machine Learning, Software Development, Computer Vision enthusiast,
Big Data Engineering
Machine Learning along with Artificial Intelligence, with hands-on experience, working with vast datasets(both numeric as well as images), delivering models with fair accuracy.
Big Data Engineer with extensive knowledge in data processing and analysis, proficient in big data technologies and tools like Hadoop, Hive, Pyspark, MongoDB and Azure; delivering scalable and efficient data solutions.
Web developer, with extensive knowledge and 2 years of experience freelancing,
working in web technologies and
UI / UX design, delivering
quality work.
About Me
My Introduction
I'm a recent graduate student at the Institute of Engineering and Management, Kolkata, and my passion is Computer Science.
My interests include software design and development, artificial intelligence, machine learning, big data engineering, computer vision, and natural language processing.
I'm currently a recent graduate in B.Tech (Computer Science Engineering with Specialization in Business Systems)
professional experience
internship experience
project
Skills
My Technical LevelMachine Learning & Artificial Intelligence
More than 2 yearsPytorch
8/10Tensorflow
6/10Generative AI
8/10LLM
7.5/10Computer Vision
7/10Transformers
7/10Backend developer
1 yearPHP
8/10Node Js
7.5/10Firebase
9/10Package management
1 yearPip
8/10Conda
9/10Poetry
6.5/10Pipeline and containerization
1 yearJenkins
8/10Github Workflows
9/10Docker
9/10Big Data
1 yearHadoop
9/10Spark/Pyspark
9/10Hive
7/10MongoDB
9/10Kafka
6/10Cloud Computing
More than 2 yearsAzure (Databricks, DataLake, DataFactory)
9/10Amazon Web Services
7.5/10Google Cloud Platform
8/10Version Control
More than 2 yearsGit, GitLab, Github
9/10BitBucket
7/10JFrog Artifactory
6.5/10Coding Languages
Python
10/10Java
9/10C
7/10Groovy
5/10Qualifications
My personal journeySpecialist Programmer (Big Data Engineer)
Infosys Limited, Bengaluru, KarnatakaComputer Science & Business Systems (B.Tech)
Institute of Engineering and Management, KolkataHigher Secondary Certificate
Little Flower School, Jamshedpur accredited to ISC - 89.2%Secondary School Certificate
Little Flower School, Jamshedpur accredited to ICSE - 91.8%Research and Development Intern
Keysight Technologies, KolkataOFFER LETTER
VALUE CREATION PLAN
COMPLETION CERTIFICATE
Data Science Intern
Happymonk.co, Bengaluru, KarnatakaOFFER LETTER
COMPLETION CERTIFICATE
Artificial Intelligence-Product Management Intern
Alphadynamic, New DelhiOFFER LETTER
COMPLETION CERTIFICATE
LOR CERTIFICATE
Machine Learning Intern
Suvidha Foundation, Nagpur, Maharashtra (WFH)OFFER LETTER
COMPLETION CERTIFICATE
LOR CERTIFICATE
Certificates
My achievements till now
Introduction to TensorFlow for Artificial Intelligence, Machine Learning and Deep Learning
Deeplearning.ai (Coursera)
Natural Language Processing in TensorFlow
Deeplearning.ai (Coursera)
Python Basics for Data Science
IBM (Edx)
Runners up in Code Wars
Kalinga Institute of Industrial Technology
2nd runners up in JUST CODE IT, CODING LIKE A PRO
Netaji Subhas University of Technology
Runner-up in Trackback (Fossbytes)
JSS Science and Technology University
Scholarship for academic excellence in class 10
TATA MOTORS
1st Runners up in an Ethical Hacking competition
IIT-Delhi
Software Engineering Virtual Experience
JP Morgan Chase & Co.
Services
What I offerArtificial Intelligence &
Machine Learning
Frontend
Developer
Branding
Designer
UI/UX
Designer
Projects
Most recent work
Competitive Programming Contests Android Application, IEM Code Chef Chapter
- Served as a full-stack developer in a team of 6 members, where we designed an application to read the upcoming contest data from various platforms through the "Kontests" API
- Visualized performance tracking graphs and made comprehensive UI designs along with easy contest registration
- Implemented the frontend using XML and the backend using Firebase and connected them using Java
Demo
Sign Language Detection
- Used Python to create a CNN and LSTM model using the TensorFlow library to recognize 3 sign classes and integrated the Tensorboard API for data analysis with clean and refactored code to predict a test accuracy of 87.8%
(More classes can be added) - Provisioned the users to make their own dataset of 30 small videos for each output class for creating their own model
Demo
Predictive Customer Attrition Model
- Analyzed and trained the model to predict customer attrition on a data set containing 6339 user databases, using Python language on two machine learning algorithms through the TensorFlow library
- Algorithms used: - Logistic regression (test accuracy: 87.2%) and Gradient Boosting Classifier (test accuracy:91.6%)
Demo
You have a new project in your mind?
Contact me now and get a 15% discount on your new project.
Contact Me