Initializing Decision Intelligence...

Loss Curve

↓ 0.0234

Accuracy Curve

↑ 94.7%

Epoch: 0/50

0%

GPU Active
Model Syncing
Memory: 87%

Deployment Successful!

Welcome to Astha's Portfolio.

Available for Internships & Collaborations

ASTHA MAURYA

AI & Data Science Engineer

B.Tech CSE student building real-world AI & forecasting systems. Passionate about time-series analytics and turning raw data into intelligent decisions.

Forecasting · Analytics · Decision Systems

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About Me

Astha Maurya

I'm a B.Tech Computer Science & Engineering student at Lovely Professional University, passionate about building intelligent systems that solve real-world problems.

My approach is hands-on — I build end-to-end AI pipelines to understand how real-world systems work, from raw data collection and feature engineering to model deployment on live dashboards.

Currently, I'm focused on time-series forecasting and data analytics, actively building projects that demonstrate clean ML architecture and actionable insights at scale.

I believe in continuous learning and solving meaningful problems — from predicting carbon emissions to enabling smarter energy decisions for industry.

AI System Metrics

5+

AI Projects Deployed

2

Industry Internships

2035

Forecast Horizon (Years)

300+

Coding Hours

Technical Skills

HTML5/CSS3

HTML5/CSS3

95%

CSS

CSS

90%

JavaScript

JavaScript

90%

Tailwind CSS

Tailwind CSS

90%

React

React

90%

Python

Python

90%

Django

Django

85%

Pandas & NumPy

Pandas & NumPy

85%

Data Analytics (EDA)

Data Analytics (EDA)

85%

Prophet (Time Series)

Prophet (Time Series)

80%

Matplotlib

Matplotlib

85%

Seaborn

Seaborn

85%

Scikit-learn

Scikit-learn

85%

Power BI

Power BI

75%

VS Code

VS Code

90%

GitHub

GitHub

85%

Deployed AI Systems

Real-world forecasting & analytics engines

AI Learning Platform

AI Learning Platform

Problem: Students lack structured, interactive platforms to learn AI/ML concepts with hands-on content.
Solution: A full-stack Django web platform providing structured AI learning paths and resources for students.
My Role: Backend development — Django models, views, SQLite database, and content management system.
Tech Stack:
PythonDjangoSQLiteHTML/CSS
🔗 GitHub Repo
Notes App

Notes App

Problem: Students need a fast, lightweight notes tool for quick study preparation without distractions.
Solution: A clean, fast Notes App built with Next.js and React for seamless note-taking and organisation.
My Role: Full-stack development — Next.js pages, React components, state management, and responsive UI.
Tech Stack:
Next.jsReactJavaScript
🔗 View Live
India Air Pollution Analysis

India Air Pollution Analysis

Problem: Air pollution health risks across Indian cities are poorly visualised, limiting public awareness.
Solution: Interactive Power BI dashboard classifying health risk levels from pollution data across Indian cities.
My Role: Data cleaning, DAX measures, Power BI visualizations, and health risk classification model.
Tech Stack:
Power BIDAXData Analytics
🔗 GitHub Repo
Carbon Emission Forecasting

Carbon Emission Forecasting

Problem: India's carbon emission trends are opaque, making sustainability planning difficult for policymakers.
Solution: Time-series forecasting model built on electricity generation data to predict emissions up to 2035.
My Role: Built the full ML pipeline — data collection, preprocessing, Prophet modelling, and interactive visualizations.
Tech Stack:
PythonProphetPandasMatplotlibTime Series
🔗 GitHub Repo
Energy Forecasting Dashboard

Energy Forecasting Dashboard

Problem: Power utilities lack accessible tools to project state-wise electricity consumption for planning.
Solution: Streamlit dashboard with AI-driven forecasting to project 3–12 month energy consumption trends.
My Role: Designed the full-stack solution — ML forecasting models, Streamlit UI, secure auth, and analytics export.
Tech Stack:
PythonProphetStreamlitAuthentication
🔗 GitHub Repo
Employee Salary EDA

Employee Salary EDA

Problem: Pay inequality is hard to identify without systematic data analysis of salary distributions.
Solution: Comprehensive EDA report uncovering salary trends, department-wise comparisons, and fair-pay insights.
My Role: Exploratory data analysis — statistical summaries, visualizations, and insight reporting using Pandas and Seaborn.
Tech Stack:
PythonPandasSeabornEDA
🔗 GitHub Repo

Applied AI in Industry

January 2026 - February 2026

Edunet Foundation + AICTE (IBM SkillsBuild)

AI/ML Intern

  • Developed an AI-powered learning platform using Django with adaptive quizzes and personalized recommendations
  • Built a weak-area analytics system using accuracy, response time, and consistency to identify learning gaps
  • Implemented dynamic quiz generation using Groq API with fallback mechanisms for reliable performance
  • Designed an interactive dashboard to track user performance, accuracy trends, and topic-wise insights
October 2025 - November 2025

Edunet Foundation + Shell + AICTE

AI/ML Intern

  • Sustainability-focused AI project predicting India's carbon emissions using electricity generation data
  • Built time-series forecasting models using Facebook Prophet to estimate emission trends up to 2035
  • Developed analytical pipelines and interactive visualizations with Python, Pandas, and Matplotlib
June 2025 - July 2025

REC Limited

Data Science Intern

  • Developed state-wise Energy Forecasting Dashboard for power consumption analysis
  • Built AI-driven time-series forecasting models with Facebook Prophet to project 3-12 month electricity consumption trends
  • Designed interactive Streamlit UI with secure authentication, forecast history tracking, and downloadable analytics

Training

🎓

Data Structures & Algorithms

CipherSchools  ·  Jul' 2025 – Aug' 2025

  • Completed intensive training on core data structures, algorithms, and problem-solving techniques
  • Practiced coding challenges covering arrays, linked lists, trees, graphs, and dynamic programming
DSAProblem SolvingAlgorithms
🔗 View Certificate

Certificates

CSS Basic Certificate

CSS (Basic) Certificate

HackerRank

March 2026

Click to view certificate  ↗
Scientific Computing with Python Certificate

Scientific Computing with Python

FreeCodeCamp

July 2025

Click to view certificate  ↗
SQL Basic Certificate

SQL (Basic) Certificate

HackerRank

April 2025

Click to view certificate  ↗
Python Basic Certificate

Python (Basic) Certificate

HackerRank

February 2025

Click to view certificate  ↗

Extra Curricular

🏆

NASA Space Apps Challenge

NASA International  ·  October 2025

Selected as a Galactic Problem Solver — participated in NASA's international hackathon addressing real Earth and space challenges using data science and AI.

🔗 View Certificate
🎓

Zero to One Startup Challenge

24-Hour Entrepreneurship Challenge  ·  August 2025

Competed in a 24-hour entrepreneurship challenge showcasing problem-solving, product thinking, and pitching a startup idea from scratch.

🔗 View Certificate

AI Model Pipeline

1

Raw Data

Raw Data

CSV, PowerBi, APIs

Data collection

2

Cleaning

Cleaning

Pandas, NumPy

Missing values

Outlier detection

3

Feature Engineering

Feature Engineering

Feature creation

Encoding

Scaling

4

Modeling

Modeling

Prophet, Scikit-learn

Time-series models

ML algorithms

5

Evaluation

Evaluation

MAE, RMSE, R²

Model validation

Performance metrics

6

Deployment

Deployment

Streamlit, HTML, CSS, JS, Flask

Cloud hosting

Production systems

Education

LPU 2023 – Present

Lovely Professional University

B.Tech – Computer Science & Engineering

CGPA 7.19
STATUS Ongoing
CSC 2021 – 2023

Chandrej Singh Children's Academy

Intermediate – Science Stream (PCM)

PERCENTAGE 76%
BOARD CBSE Board
CSC 2019 – 2021

Chandrej Singh Children's Academy

Matriculation (Class X)

PERCENTAGE 86%
BOARD CBSE Board

Let's Build Intelligent Systems Together

Get in Touch

I'm currently open to internship opportunities, freelance projects, and collaborations in AI/ML and data science.

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