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Omnshu prasad JenaOJ
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Omnshu prasad Jena

@omnshuprasadjena

Data science intern at AIROBOSOFT Products and Services LLP who built retail sales forecasting and an AI-powered resume analyzer.

India
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At AIROBOSOFT Products and Services LLP, I applied Python and machine learning to preprocess, analyze, and visualize real-world datasets. I also used Pandas and NumPy for data cleaning, exploratory analysis, and feature preparation.

As a Data Analysis Intern at Codveda Technologies, I analyzed and visualized datasets using Python, Pandas, NumPy, Matplotlib, and Microsoft Excel. I cleaned and transformed data, then developed reports and visualizations to communicate insights.

I built a retail sales forecasting system that analyzes historical sales data and uses regression models to predict future sales. I also explored sales trends, seasonal patterns, and product performance with Matplotlib.

I built an AI-powered ATS Resume Analyzer that parses resumes and matches candidate profiles to job descriptions using NLP. Its Streamlit interface provides compatibility scores and personalized suggestions.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

NT

National Institute of Science and Technology

Bachelor of Technology, Computer Science & Engineering

2023 -

Grade: 8.44 CGPA

Pursuing a Bachelor of Technology in Computer Science and Engineering with a CGPA of 8.44.

SK

SkillCourse

Power BI Micro Course, Power BI

2026 - 2026

Completed a Power BI Micro Course in April 2026.

CO

CodeWithHarry

Data Science Certification, Data Science

2026 - 2026

Completed a Data Science Certification in May 2026.

IE

IT World Education

Generative AI Training, Generative AI

2025 - 2025

Completed Generative AI Training in May 2025.

SP

Summer Training Program

Advanced Programming & Competitive Coding, Programming

2024 - 2024

Completed Advanced Programming and Competitive Coding training in 2024.

OV

Odisha Adarsha Vidyalaya

XII (CBSE), Science

2021 - 2023

Grade: 80%

Completed Class XII (CBSE) with a Science stream, achieving 80%.

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