Sayan Pal.
Initializing workspace
MCA student and developer exploring machine learning, data analysis and software engineering to transform raw information into useful digital solutions.
Samples
1,024
Model evaluation
Classification models
Exploring the space where programming, data and intelligent systems come together to solve meaningful problems.
Machine Learning / Data
An ML-driven exploration of customer data using preprocessing, feature engineering and multiple classification algorithms to uncover useful patterns.
Customer dataset
classification.analysis
Stage
Training
Models
03
State
Ready
Intelligence
Insights
Engineering
Curious about how data and algorithms can solve meaningful problems.
I'm Sayan Pal, an MCA student at KIIT University developing my skills across machine learning, data analysis and software development.
I enjoy moving beyond theory — experimenting with datasets, comparing models and translating technical concepts into practical software solutions.
Current focus
Exploring classification algorithms, model evaluation and data-driven problem solving.
Turning raw datasets into structured insights through preprocessing, analysis and visualization.
Building reliable software while strengthening programming fundamentals and engineering practices.
Building professional experience through communication, collaboration and real-world responsibilities alongside technical learning.
Organization
Position
Gaining practical professional experience through outreach, communication and collaborative initiatives while developing an understanding of structured workplace processes.
Assignment metadata
Duration
June 2026 — Present
Type
Internship
Domain
Outreach
Responsibilities
Supporting outreach initiatives and communication with prospective users and communities.
Contributing to campaign execution while coordinating outreach-related activities.
Developing practical experience in communication, collaboration and professional workflows.
Exploring practical machine learning and software development through experiments, applications and real-world problem solving.
Machine Learning / Classification
An end-to-end supervised machine-learning pipeline for predicting loan approval status using data preprocessing, feature engineering and multiple classification algorithms.
Category
Machine Learning
Environment
Jupyter Notebook
Language
Python
Status
Completed
Workflow
Loan application data with 1,000 entries and 18 original features prepared for analysis.
Missing values handled, categorical features encoded and numerical features scaled.
Non-predictive attributes removed and features transformed for classification.
KNN, Logistic Regression and Naive Bayes trained and evaluated on the processed dataset.
Model laboratory
Multiple algorithms were explored to understand different approaches to customer classification.
Logistic Regression
Classification algorithm
K-Nearest Neighbors
Classification algorithm
Naive Bayes
Classification algorithm
Technology stack
01
Python
02
Pandas
03
Scikit-learn
04
Jupyter Notebook
Project Record
Explore the complete project case study, screenshots and implementation.
Archive
Full Stack / Career Platform
An AI-powered interview preparation platform that connects candidates with experienced engineers for 1:1 mock interviews, role-specific preparation and personalized feedback.
View ProjectMathematics / Machine Learning
An interactive learning resource explaining the calculus concepts behind machine learning, including derivatives, gradients, optimization, backpropagation and gradient descent.
View ProjectMathematics / Statistics
A visual study companion covering probability foundations, terminology, key rules, conditional probability, Bayes' theorem, random variables and probability distributions.
View ProjectA growing technical toolkit spanning programming, machine learning, data analysis and development workflows.
Programming
Python / Java / C
Data
Pandas / Analysis
Machine Learning
Scikit-learn
Version Control
Git / GitHub
Programming
Programming foundations used across software development, problem solving and data-oriented work.
Python
ML / Data
Java
Development
C
Programming
Intelligence
Tools and concepts used for preparing datasets, analyzing information and experimenting with machine learning.
Pandas
Analysis
Scikit-learn
Machine Learning
Data Analysis
Insights
Preprocessing
Data
Classification
ML
Workflow
Development and experimentation tools supporting coding, version control and data workflows.
Git
Version Control
GitHub
Collaboration
Jupyter Notebook
Experimentation
A formal academic foundation complemented by continuous experimentation with programming, data and intelligent systems.
Degree
Institution
KIIT University
Duration
2025 — Present
Location
Bhubaneswar, Odisha
Program
MCA
Areas of focus
Academic Performance
9.33
CGPA
Previous Records
Netaji Mahavidyalaya
Higher Secondary Education
Secondary School
Interested in software development, machine learning, data-driven projects or simply exchanging ideas? Sayan is always open to meaningful conversations and new opportunities.
Start a conversation
sayanpal771@gmail.com