Aditya Pandey

Aspiring Data Analyst
Delhi, IN.

About

Motivated and detail-oriented Data Analytics professional with foundational expertise in statistical analysis, data visualization, and data-driven decision-making. Proficient in Python, SQL, Power BI, and Excel, with hands-on experience extracting meaningful insights from complex datasets to support strategic business outcomes. Eager to leverage analytical skills to drive impactful solutions in dynamic organizational environments.

Work

GENZEDUCATEWING
|

Data Science Intern

Chennai, India, India

Summary

Contributed as a Data Science Intern, applying analytical techniques to real-world datasets to inform data-driven decision-making and develop core analytical competencies.

Highlights

Analyzed diverse real-world datasets to identify key trends and patterns, providing actionable insights that supported data-driven decision-making processes.

Developed foundational skills in machine learning, statistical analysis, and data storytelling, contributing to a comprehensive understanding of the data lifecycle.

Education

Galgotias University
Greater Noida, Uttar Pradesh, India

B.Tech.

Computer Science (Data Science)

Grade: 7.5 CGPA

Shree Gandhi Vidyalai Inter College
Gonda, Uttar Pradesh, India

High School

Intermediate (U.P Board)

Grade: 73%

Languages

English

Certificates

Data Visualization

Issued By

Tata Forage

Skills

Technical Skills

Python, SQL, Machine Learning, Power BI, MS Excel, Data Cleaning, Data Analytics, Statistical Analysis, Data Visualization, Computer Vision.

Soft Skills

Teamwork, Presentation, Adaptability, Problem-Solving, Detail-Oriented, Decision-Making Support.

Interests

Fitness

GYM.

Personal Development

Learning.

Recreation

Hiking, Travelling.

Projects

Kaggle Data Analysis & Pattern Recognition Projects

Summary

Engaged in multiple Kaggle challenges to analyze complex datasets, identify hidden patterns, and develop new data structures to solve intricate problems.

Face Recognition System

Summary

Developed a biometric Face Recognition System leveraging computer vision and machine learning algorithms to automatically identify and verify individuals from digital images or video frames.

RGB Image Color Combination Identifier

Summary

Created a user-friendly web application designed to identify color combinations within RGB images by extracting and visualizing intensity values across Red, Green, and Blue channels.