Available for Internships & Roles

AI Engineer
& Data
Developer

B.E. CSE (AI) student at BITM, Bellary โ€” building intelligent systems with Machine Learning, Google Gemini AI, and full-stack Flask applications.

PJ
Poojitha J
// AI & Data Engineering
4+
Projects
AI
Specialization
9.2
CGPA
ML
Core Skill
PythonFlask Gemini AIMongoDB Scikit-learn
About Me

Background & Education

I'm Poojitha J, a Computer Science Engineering student specializing in Artificial Intelligence at BITM, Bellary. I'm passionate about transforming raw data into meaningful insights and building AI-driven applications that solve real problems.

My work spans data analytics, machine learning, REST API development, and NoSQL database design. I enjoy taking projects from ideation to deployment โ€” most recently shipping a Google Gemini AI-powered budget assistant live on the cloud.

Strong foundations in predictive modeling, data cleaning, and visualization, combined with hands-on experience in Flask backend development and Google's Generative AI ecosystem.

๐Ÿ“งEmailp27165889@gmail.com
๐Ÿ“ฑPhone+91 6281220314
๐Ÿ“LocationBellary, Karnataka, India
๐Ÿ’ผLinkedInpoojitha-j-7b55ab311
2024 โ€”
Present
B.E. โ€” Computer Science Engineering (AI)
BITM, Bellary
Pursuing
2021 โ€”
2023
Higher Secondary (12th Grade)
BIPU College, Bellary
9.2 CGPA
2021
Secondary (10th Grade)
Srichaitanya Techno School (CBSE), Bellary
69%
Technical Stack

Skills & Expertise

๐Ÿ
Languages
PythonSQLJavaScriptHTML5CSS3
๐Ÿค–
AI & Machine Learning
Scikit-learnLinear RegressionGoogle Gemini AIPredictive ModelingEDA
๐Ÿ“Š
Data Analytics
PandasNumPyData CleaningVisualizationGoogle Colab
๐Ÿ—„๏ธ
Databases
MongoDBSQLiteNoSQL DesignCRUD Ops
โš™๏ธ
Frameworks & Tools
FlaskFlask-CORSREST APIGunicornGit
๐Ÿ’ก
Core Competencies
Problem SolvingSystem DesignAPI DesignData-driven Thinking
Work

Featured Projects

01 โ€” Featured ๐ŸŸข Live on Kuberns
PocketSmart AI v2

A full-stack AI-powered personal finance platform with 18 REST API endpoints, multi-turn AI chatbot, 6-mode analysis studio, and smart lifestyle planners โ€” all powered by Google Gemini AI and deployed live.

PythonFlaskGoogle Gemini AI REST APIFlask-CORSJavaScript SPAGunicorn
02๐Ÿ“Š Data Analytics
Movie Dataset Analysis

Analyzed large-scale movie data to uncover revenue, ratings, and audience trends using Python, Pandas, and SQLite โ€” producing OTT-platform-grade insights on top movies and directors.

PythonPandasSQLSQLiteGoogle Colab
03๐Ÿ  Machine Learning
House Price Prediction

Built an ML regression model to predict house prices using preprocessing, EDA, and evaluation with Rยฒ and RMSE metrics โ€” demonstrating real-estate decision-support capability.

PythonPandasNumPyScikit-learnLinear Regression
04๐Ÿ—„๏ธ Database Systems
Event Management System

Designed a NoSQL-based event database for managing event details, attendees, and scheduling using structured MongoDB collections with complete CRUD operations.

MongoDBNoSQLDatabase DesignCRUD Operations
Achievements

Key Accomplishments

๐Ÿš€
End-to-End AI App Deployment
Built and deployed PocketSmart AI v2 โ€” a full-stack platform with 18 REST endpoints, Google Gemini AI integration, and live cloud deployment on Kuberns.
๐Ÿ“Š
Large-Scale Data Analytics
Executed end-to-end movie dataset analysis using Python, Pandas, and SQLite โ€” uncovering revenue trends and insights applicable to OTT platform strategy.
๐Ÿค–
ML Model Development
Developed a house price prediction model with comprehensive EDA, preprocessing, and evaluation using Rยฒ and RMSE โ€” demonstrating real-estate decision support.
๐Ÿ—„๏ธ
NoSQL Database Architecture
Designed and implemented a MongoDB Event Management System with structured collections, relationship modeling, and complete CRUD operations.
Contact

Let's Work Together

Open to opportunities & collaborations

I'm actively looking for internships, research roles, and project collaborations in AI, Data Analytics, and Full-Stack Development. Let's build something great together.

PJ