ATHARV SRIVASTAVA
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Open to opportunities

Hi, I'm Atharv Srivastava

CS undergraduate at Allenhouse Institute of Technology, Kanpur — building intelligent systems at the crossroads of Machine Learning, Data Science, and Software Engineering.

0 Projects
0 Certifications
0 Publications
0 CGPA / 10

A bit about me

Atharv Srivastava
CGPA 8.78

I'm a Computer Science undergraduate specialising in Machine Learning and Data Science. I enjoy turning raw data into actionable insights and building end-to-end ML-powered applications.

My work spans data preprocessing, feature engineering, exploratory data analysis, model evaluation, and Flask-based deployment. I've also published two research papers through Springer on graph-based recommendation systems and AI-driven cybersecurity.

  • B.Tech — Computer Science Allenhouse Institute of Technology · 2023–Present
  • Kanpur, Uttar Pradesh, India Open to remote & relocation
  • 2 Springer Conference Papers ICMLCS-25 & ICCNSML-25

Academic background

B.Tech — Computer Science & Engineering

Allenhouse Institute of Technology, Kanpur

2023 – Present Active
CGPA: 8.78 / 10 Full-Time

Specialising in Machine Learning, Data Science, and Algorithms. Active in research, technical competitions, and Springer conference publications.

Class XII — Science Stream

Dr. Virendra Swarup Education Centre, Kanpur

Completed 2022
74% · CBSE Board

Focused on Mathematics, Physics, and Computer Science. Built a strong foundation in logical reasoning and problem-solving.

Work experience

Internship 2024

Frontend Developer Intern

Codveda Technologies

  • Built responsive UI components using HTML, CSS, and JavaScript
  • Integrated RESTful APIs in collaboration with the backend team
  • Optimised page load performance and ensured cross-browser compatibility
HTML / CSS JavaScript REST APIs
Programme 2024

Campus Ambassador

Internshala

  • Promoted internship programmes to 200+ students across campus
  • Designed and executed focused outreach campaigns
  • Significantly increased student enrolment and participation
Marketing Leadership Communication

Selected work

Traffic IQ project screenshot
AI / ML

Traffic IQ

ML-powered traffic analytics & route optimisation dashboard.

PythonMLFlask
AI News Analyzer screenshot
NLP

AI News Analyzer

Real-time news sentiment classification using NLP.

PythonNLPScikit-learn
Amazon Clone screenshot
Web Dev

Amazon Clone

Responsive e-commerce frontend with cart & search.

HTMLCSSJavaScript
Rock Paper Scissors screenshot
JavaScript

Rock Paper Scissors

Animated browser game with live score tracking.

JavaScriptCSS
Currency Converter screenshot
JavaScript

Currency Converter

Live exchange-rate converter via public API.

APIJavaScript
Scientific Calculator screenshot
JavaScript

Scientific Calculator

Complex mathematical operations with a custom parser.

JavaScriptMath

Technical skills

Technologies and disciplines I work with regularly.

Languages

Python C++ SQL
Expert Proficient Familiar

AI / ML / Data Science

Machine Learning Data Analysis (EDA) Pandas & NumPy NLP Scikit-learn Feature Engineering Matplotlib / Seaborn

Web Development

HTML5 CSS3 JavaScript (ES6+) Flask REST APIs

Core CS Concepts

Data Structures & Algorithms Object-Oriented Programming DBMS Computer Networks Operating Systems

Tools & Platforms

Git & GitHub Jupyter Notebook VS Code Google Colab Linux (CLI)

Soft Skills

Research & Writing Problem Solving Team Collaboration Technical Communication
Expert / Daily use Proficient / Regular use Familiar / Learning

Credentials & courses

Google Advanced Data Analytics certificate
View
Google

Advanced Data Analytics

Google Data Analytics certificate
View
Google

Data Analytics

IBM Python for Data Science certificate
View
IBM

Python for Data Science

Meta Frontend Developer certificate
View
Meta

Frontend Development

Microsoft certification
View
Microsoft

Microsoft Certification

Machine Learning Specialisation certificate
View
Coursera

Machine Learning Specialisation

Conference publications

Springer Published 2025

Graph Theory in Recommendation Systems

ICMLCS-25 · International Conference on Machine Learning & Computer Science

Explores graph-based traversal techniques and neural graph embeddings to improve recommendation accuracy and scalability in large-scale systems.

Atharv Srivastava et al.

Springer Presented 2025

Intelligence & Encryption for Safer Cyberspace

ICCNSML-25 · International Conference on Computer Networks, Security & ML

Proposes a hybrid AI–cryptography framework for enhanced cybersecurity in distributed network environments, combining transformer-based threat detection with modern encryption.

Atharv Srivastava et al.

Let's connect

I'm always open to internships, research collaborations, and full-time roles in AI/ML & Software Engineering. Reach out via any of the channels below.

Available now

Open to Opportunities

Looking for roles in AI/ML Engineering, Data Science, and Software Development — internships or full-time positions.

AI / ML Data Science Research SDE
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