roshanpal

Aspiring Data Scientist / Machine Learning Engineer

Thane 0+ yrs exp 81 · Excellent

About

B.E CSE (AI/ML) student with hands-on experience applying machine learning and deep learning to real-world problems, including a completed 1-month Machine Learning internship. Currently deepening skills in Data Science, ML, Deep Learning and NLP through an intensive project-based program. Built end-to-end ML projects spanning computer vision (medical imaging) and NLP (multilingual OCR + text summarization). Strong foundation in Python, Data Structures & Algorithms, and full-stack development, with a keen interest in solving applied AI problems.

Skills & Expertise (29)

Python Intermediate

6.5/10

0.5

Years Exp

scikit-learn Intermediate

6.5/10

0.5

Years Exp

Exploratory data analysis Intermediate

6.5/10

0.5

Years Exp

NumPy Intermediate

6.0/10

0.5

Years Exp

Pandas Intermediate

6.0/10

0.5

Years Exp

Model Evaluation Intermediate

6.0/10

0.5

Years Exp

Feature Engineering Intermediate

6.0/10

0.5

Years Exp

PCA Intermediate

6.0/10

0.5

Years Exp

Clustering Intermediate

6.0/10

0.5

Years Exp

Jupyter Notebook Intermediate

6.0/10

0.5

Years Exp

Optimization Intermediate

5.5/10

0.5

Years Exp

SQL Intermediate

5.5/10

0.5

Years Exp

Git Intermediate

5.0/10

0.5

Years Exp

GitHub Intermediate

5.0/10

0.5

Years Exp

PyTorch Beginner

5.0/10

0.5

Years Exp

TensorFlow Beginner

5.0/10

0.5

Years Exp

REST APIs Beginner

4.5/10

0.5

Years Exp

Data Structures Beginner

4.5/10

0.5

Years Exp

Algorithms Beginner

4.5/10

0.5

Years Exp

Full-Stack Development Beginner

4.0/10

0.5

Years Exp

React Beginner

4.0/10

0.5

Years Exp

ResNet Beginner

4.0/10

0.5

Years Exp

Tesseract Beginner

4.0/10

0.5

Years Exp

OpenCV Beginner

4.0/10

0.5

Years Exp

MySql Seaborn Matplotlib Java C++

Work Experience

Machine Learning Intern

Happieloop Technologies

Jul 2026 - Aug 2026

Completed a hands-on 1-month internship covering the end-to-end ML pipeline — from data exploration to model building — across supervised, unsupervised, and deep learning techniques in Python. Built and evaluated Linear Regression, Decision Tree, and SVM models using Scikit-learn. Applied K-Means Clustering and PCA for customer/data segmentation and dimensionality reduction.

Python Full Stack Developer Intern

EduSkills (AICTE NIP)

Apr 2025 - Jun 2025

Completed a 10-week virtual internship building full-stack applications using Python, strengthening backend development skills that support ML application deployment.