Prashant Bachhamadi

Data Science / Machine Learning role

Jaipur, India 0+ yrs exp 85 · Excellent

About

Computer Science (Artificial Intelligence) undergraduate focused on Data Science, Machine Learning, Deep Learning, and Computer Vision. Hands-on experience with Python, SQL, data preprocessing, exploratory data analysis (EDA), model training, validation, evaluation, and visualization. Built classification and prediction workflows using TensorFlow/Keras, scikit-learn, Pandas, NumPy, OpenCV, Flask, and SQL. Seeking a Data Science / Machine Learning role to contribute analytical problem-solving and end-to-end model development skills.

Skills & Expertise (31)

Python Advanced

8.0/10

Years Exp

Machine Learning Intermediate

7.5/10

Years Exp

Data Analysis Intermediate

7.5/10

Years Exp

Data Visualization Intermediate

7.0/10

Years Exp

Data Preprocessing Intermediate

7.0/10

Years Exp

Model Training Intermediate

7.0/10

Years Exp

Model Evaluation Intermediate

7.0/10

Years Exp

NumPy Intermediate

7.0/10

Years Exp

Pandas Intermediate

7.0/10

Years Exp

Deep Learning Intermediate

6.5/10

TensorFlow Intermediate

6.0/10

Visual Studio Code Intermediate

6.0/10

Years Exp

Jupyter Notebook Intermediate

6.0/10

Years Exp

Git Intermediate

6.0/10

Years Exp

Computer Vision Intermediate

6.0/10

CSS Intermediate

6.0/10

Years Exp

HTML Intermediate

6.0/10

Years Exp

JavaScript Intermediate

6.0/10

Years Exp

SQL Intermediate

6.0/10

Years Exp

OpenCV Intermediate

5.5/10

Flask Intermediate

5.5/10

YOLOv8 Intermediate

5.0/10

FastAPI Intermediate

5.0/10

scikit-learn Keras CNNs Exploratory data analysis Matplotlib SQLite GitHub LINUX

Work Experience

Data Science Intern

Renu Sharma Foundation

Aug 2025 - Sep 2025

Executed exploratory data analysis (EDA), data cleaning, and preprocessing pipelines on structured datasets using Python, Pandas, and NumPy. Built, evaluated, and tuned baseline predictive machine learning models to extract actionable data insights.

Data Science Intern

InAmigos Foundation

Aug 2025 - Sep 2025

Performed data wrangling, feature engineering, and statistical analysis across multi-attribute datasets to extract meaningful trends. Created informative data visualizations using Matplotlib to communicate model performance metrics and analytical findings effectively.