Saurabh

0+ yrs exp 61 · Good

About

No bio added yet

Skills & Expertise (25)

Python Intermediate

6.0/10

0.3

Years Exp

JavaScript Intermediate

6.0/10

0.3

Years Exp

Node JS Intermediate

5.5/10

0.3

Years Exp

React.js Intermediate

5.5/10

0.3

Years Exp

Canva Intermediate

5.0/10

0.3

Years Exp

MS Office Intermediate

5.0/10

0.3

Years Exp

Google Colab Intermediate

5.0/10

0.3

Years Exp

Visual Studio Code Intermediate

5.0/10

0.3

Years Exp

Git Intermediate

5.0/10

0.3

Years Exp

CSS Intermediate

5.0/10

0.3

Years Exp

HTML Intermediate

5.0/10

0.3

Years Exp

SQL Intermediate

5.0/10

0.3

Years Exp

NumPy Beginner

4.5/10

0.3

Years Exp

Pandas Beginner

4.5/10

0.3

Years Exp

Flask Beginner

4.5/10

0.3

Years Exp

Typescript Beginner

4.5/10

0.3

Years Exp

AWS Beginner

4.5/10

0.3

Years Exp

Docker Beginner

4.0/10

0.3

Years Exp

C++ Beginner

4.0/10

0.3

Years Exp

TensorFlow Beginner

3.5/10

0.3

Years Exp

Next Js scikit-learn C++ STL GitHub Code::Blocks

Work Experience

Full Stack Web Development Intern

EnerzyFlow

May 2025 - Jun 2025

Developed responsive full-stack landing pages (HTML5, CSS3, JS ES6+) for e-commerce, boosting scalability and performance. Integrated a secure, backend-powered Contact Me form (Node.js/Express, MongoDB), streamlining user inquiries and data management. Built interactive product showcases with dynamic features, boosting customer engagement and strengthening the overall brand presence. Implemented modular front-end structures using reusable components and backend APIs, enabling seamless e-commerce expansion. Optimized performance with efficient JS logic and robust database-driven form handling, ensuring seamless cross-browser compatibility.

Data Analyst Intern

The Dakshana India Educational Trust Fund

May 2024 - Jul 2024

Developed ML-driven recommendation model and analysed student/alumni datasets, enabling data-driven decisions and insights. Conducted extensive Data Analysis and exploration on multi-cohort student datasets to reveal patterns in attendance and performance. Developed an advanced ML-based recommendation model efficiently using diverse alumni data, improving overall efficiency by nearly 30%. Analyzed, cleaned, and documented 13,000+ student and alumni records across cohorts, ensuring strong reliability for long-term analytics. Created interactive dashboards and insightful visual reports for stakeholders, enabling data-driven decisions and actionable insights.