I am Brahmananda Sahoo

Download CV

Name: Brahmananda Sahoo

Profile: Data Scientist

Email: sahoobrahma29@gmail.com

Phone: 9348183687


Python 85%
Numpy & Pandas 75%
Visualisation Tools 80%
About me

I am an aspiring data scientist with a strong foundation in Python, along with hands-on experience using libraries such as NumPy, Pandas, Matplotlib, and Seaborn. I am passionate about turning data into actionable insights and am currently expanding my skill set by learning machine learning techniques.

My journey into data science has equipped me with the ability to clean, analyze, and visualize data effectively. I enjoy tackling challenging problems and continuously improving my analytical skills.

I am eager to apply my knowledge in a professional setting, collaborate with experienced data scientists, and contribute to impactful projects. With a keen eye for detail and a commitment to learning, I am excited to take on the role of a junior data scientist and grow in this dynamic field.


Leveraging data to drive insights and decision-making.

Data Analysis

Using Python with libraries like NumPy and Pandas to clean, analyze, and visualize data, providing valuable insights for better decision-making.

Data Visualization

Creating impactful visualizations using Matplotlib and Seaborn to help communicate complex data findings in an understandable manner.

Machine Learning Models

Applying foundational machine learning techniques to build predictive models that help businesses make data-driven decisions.


A collection of my recent projects showcasing my skills in data analysis, web development, and more.

Sales Analysis

Numpy, Pandas, Jupyter Notebook

Utilized Jupyter Notebook along with Pandas and NumPy libraries to conduct in-depth analysis of sales data, extracting valuable insights and trends to inform business decisions.

E-commerce PowerBI Dashboard


Developed a dynamic dashboard for visualizing e-commerce performance using CSV data, featuring detailed sales breakdown, groovy graphs, slicers, and dynamic drilldown for comprehensive insights.

PostgreSQL Proficiency

Pandas, PostgreSQL

Demonstrated efficient data transfer from CSV files to PostgreSQL database utilizing Pandas and Python.

Weather App


A simple web application built with Flask that allows users to check the weather for a specific city using the Visual Crossing Weather API.

Digital Clock

Web Application

Created a digital clock web application that displays the current local time and date of the user’s system, providing real-time updates without the need for manual input.

Number Guessing Game

Web Application

Implemented a web-based number guessing game where players attempt to guess a randomly generated number between 1 and 100 within 10 attempts. Designed an interactive user interface displaying previous guesses, the number of remaining attempts, and providing an engaging user experience.