Sanskar

Aspiring IT professional

Nagpur, Maharashtra 0+ yrs exp 81 · Excellent

About

Aspiring IT professional with suitable skills in data analytics and web technologies, completed a degree in Computer Science Engineering. Highly motivated and seeking an entry-level position in a technology-driven organization where I can apply my academic knowledge and technical expertise. Eager to contribute to innovative projects, grow within a team, and continuously learn to excel in a challenging engineering career.

Skills & Expertise (19)

Python Intermediate

7.4/10

Years Exp

SQL Intermediate

6.3/10

Years Exp

Streamlit Intermediate

6.3/10

Years Exp

Flask Intermediate

6.3/10

Years Exp

SQLite Intermediate

6.0/10

Years Exp

YOLOv8 Intermediate

6.0/10

Years Exp

JavaScript Intermediate

5.5/10

Years Exp

Agile Methodology Intermediate

5.5/10

Years Exp

CSS Intermediate

5.5/10

Years Exp

HTML5 Intermediate

5.5/10

Years Exp

MS Excel Intermediate

5.0/10

Years Exp

VS Code Intermediate

5.0/10

Years Exp

Jupiter verbal and written communication Leadership Teamwork and Collaboration Self-Motivation Fast Learning DSA

Work Experience

Intern

KaVaaVi Technologies Pvt. Ltd.

Jan 2025 - Jul 2025

Worked on real-world datasets to perform data cleaning, preprocessing, and visualization using Python and data science libraries. Designed and implemented a Hospital Death Dashboard project to present key metrics and insights for healthcare data. Built a Real-Time Object Detection system using YOLOv8 and leveraged GPU acceleration for faster and efficient processing. Integrated database management using SQLite to store and retrieve project data and outputs.

Intern

LGPS Hybrid Energy Pvt. Ltd.

Jun 2024 - Jul 2024

Enhanced data science skills with Flask, Streamlit, Python, and Agile methodology, applying them in real business scenarios. Led the “Credit Risk Assessment” project, achieving 78%–96% accuracy using advanced ML algorithms and model optimization techniques. Gained exposure to data preprocessing, feature engineering, model evaluation, and deployment workflows.