Let's talk
ENTRY-LEVEL IT PROFESSIONAL

Hi, I'm
Naina.

I turn curiosity into technology — building practical solutions with Python, machine learning and web technologies.

Naina
BASED ININDIA
CurrentlyMCA · IT
SCROLL TO EXPLORE
01ABOUT ME

Technology should feel
human.

I'm an entry-level IT professional who enjoys turning complex problems into clear, useful solutions.

With hands-on experience in Python, Java, web technologies, machine learning and data analysis, I bring both technical curiosity and a collaborative mindset to every project.

I'm currently pursuing my MCA in IT and looking for an opportunity where I can learn quickly, contribute meaningfully and grow with a strong technology team.

02SELECTED WORK

Projects with a
purpose.

Three projects across machine learning, data analysis and cybersecurity — built to solve real problems.

01
MACHINE LEARNING · NLP

Fake News
Detector

Classifies news articles as Real or Fake using text preprocessing, TF-IDF vectorization and machine-learning classification.

PythonScikit-learnNLPStreamlit
02
AIML · DATA ANALYSIS

Accident Prediction
System

Predicts accident risk from historical and environmental data with preprocessing, feature selection, EDA and classification models.

PythonPandasNumPyMachine Learning
03SKILLS & STRENGTHS

A toolkit for
building.

PythonJavaHTML5CSSMachine LearningData AnalysisProject ManagementLeadershipCommunicationCritical ThinkingTime Management
LANGUAGEHindiNative
LANGUAGEEnglishFluent
LANGUAGEPunjabiAdvanced
04EDUCATION
2025 — PRESENT

MCA, IT

Indira Gandhi Delhi Technical University for Women (IGDTUW)

Master of Computer Applications · Information Technology
2022 — 2025

BCA, Computer Application (IT)

Chaudhary Charan Singh University

GPA · 7.18
05CERTIFICATIONS
MAR 2026

Data Science
and Analytics

GRASTECH

JUN 2026

DevSecOps
Basic

NIELIT

JUL 2025

Java
Expert

DUCAT

06CONTACT

OPEN TO OPPORTUNITIES

Let's make something
remarkable.

I'm looking for an entry-level IT opportunity where I can learn, contribute and grow — especially at Amazon.