Harsh Gupta

Data Science and AI Engineer

Lucknow (UP) 0+ yrs exp 86 · Excellent

About

B.Tech (IT) graduate with hands-on experience building and deploying Machine Learning and NLP applications using Python, Scikit-learn, Flask and Streamlit. Developed end-to-end projects involving data preprocessing, model training, evaluation, and deployment, with a strong interest in Data Science and AI engineering roles.

Skills & Expertise (29)

Python Intermediate

7.3/10

0.5

Years Exp

scikit-learn Intermediate

7.3/10

0.5

Years Exp

NumPy Intermediate

7.3/10

0.5

Years Exp

Pandas Intermediate

7.3/10

0.5

Years Exp

Data Preprocessing Intermediate

7.0/10

0.5

Years Exp

Feature Scaling Intermediate

7.0/10

0.5

Years Exp

Classification Intermediate

7.0/10

0.5

Years Exp

Regression Intermediate

7.0/10

0.5

Years Exp

Model Evaluation Intermediate

7.0/10

0.5

Years Exp

Cross Validation Intermediate

7.0/10

0.5

Years Exp

Jupyter Notebook Intermediate

6.5/10

0.5

Years Exp

Streamlit Intermediate

6.5/10

0.5

Years Exp

Flask Intermediate

6.5/10

0.5

Years Exp

Seaborn Intermediate

6.5/10

0.5

Years Exp

Matplotlib Intermediate

6.5/10

0.5

Years Exp

Git Intermediate

6.5/10

0.5

Years Exp

GitHub Intermediate

6.5/10

0.5

Years Exp

VS Code Intermediate

6.5/10

0.5

Years Exp

SQL Intermediate

6.5/10

0.5

Years Exp

Communication Intermediate

6.0/10

0.5

Years Exp

Problem Solving Intermediate

6.0/10

0.5

Years Exp

Team Collaboration Intermediate

6.0/10

0.5

Years Exp

Keras Intermediate

5.5/10

0.5

Years Exp

TensorFlow Intermediate

5.5/10

0.5

Years Exp

NLTK Beginner

4.5/10

0.5

Years Exp

TF-IDF Beginner

4.5/10

0.5

Years Exp

JavaScript Beginner

3.5/10

0.5

Years Exp

C++ Beginner

3.5/10

0.5

Years Exp

EDA

Work Experience

Python/ML Intern

Bytexus Software Solutions Pvt.Ltd

Apr 2026 - Present

Preprocessed structured datasets using Pandas and Scikit-learn, including missing values handling, encoding, and feature scaling. Developed and evaluated classification and regression models using Logistic Regression, Random Forest, and Linear Regression. Created interactive prediction interfaces using Streamlit and Flask for model deployment and testing.

Data Science Intern

CodSoft

Aug 2024 - Oct 2024

Performed data cleaning, preprocessing, Exploratory Data Analysis (EDA) on real world datasets. Developed and evaluated classification and regression models using Scikit-learn, including Decision Tree, Random Forest, and Logistic Regression. Improved model performance through feature selection and maintained project documentation using Git and GitHub.