Key Strengths

Demonstrated ability to build machine learning-based web applications using Python, Flask, Scikit-learn, and Streamlit, as evidenced by two professional projects.
Practical experience with data preprocessing (one-hot encoding, feature scaling) and model deployment for predictive tasks.
Initiative in pursuing certifications, including 'Fundamentals of Python' from Google, indicating a foundational understanding of the language.
Project work aligns with the technical requirements of a Python Engineer role, particularly in the machine learning and data science domains.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data due to a zero score on the psychometric test, which assesses aspects relevant to cultural alignment and workplace behavior.

Soft Skills & Operational Fit

Insufficient data due to a zero score on the psychometric test, which evaluates logical reasoning, work attitude, stress handling, and team collaboration.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Demonstrated ability to build machine learning-based web applications using Python, Flask, Scikit-learn, and Streamlit, as evidenced by two professional projects.
Practical experience with data preprocessing (one-hot encoding, feature scaling) and model deployment for predictive tasks.
Initiative in pursuing certifications, including 'Fundamentals of Python' from Google, indicating a foundational understanding of the language.
Project work aligns with the technical requirements of a Python Engineer role, particularly in the machine learning and data science domains.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data due to a zero score on the psychometric test, which assesses aspects relevant to cultural alignment and workplace behavior.

Soft Skills & Operational Fit

Insufficient data due to a zero score on the psychometric test, which evaluates logical reasoning, work attitude, stress handling, and team collaboration.

Samvrant Parida

Python Engineer

https://talent.gravityer.com/samvrant-parida

Python Engineer with less than a year in Machine Learning & Web Development

National Institute of Electronics & Information Technology

Bhubaneshwar, Odisha, IndiaMember since May 3, 2026

https://talent.gravityer.com/samvrant-parida

About

To be a versatile professional who embraces challenges with a positive and adventurous attitude, adapts effectively under pressure, and leads teams toward success by utilizing skills, knowledge, and experience to their fullest potential.

Top Skills

PythonStreamlit

Skills

PythonCore JavaHTMLCSSCommunicationMachine LearningStreamlitPandasScikit LearnFlaskJava

Education

Trident Academy of Technology

Bachelor of Technology · Computer Application

August 1, 2022 – June 30, 2026

Jupiter Higher Secondary School

12th

N/A – May 31, 2022

Government high school

10th

N/A – May 31, 2020

Experience

National Institute of Electronics & Information Technology

Machine learning using python, along with a project on House Price Prediction

May 1, 2025 – July 1, 2025

Bhubaneshwar, Odisha, India

Odisha Computer Application Centre

JAVA with a project on Online Doctor Consultation System

June 1, 2024 – July 1, 2024

Projects

House Price Prediction Web Application

May 3, 2026 – Present

Built and deployed a Random Forest Regression model to predict house prices based on area, bedrooms, bathrooms, age, and location. Implemented data preprocessing including one-hot encoding and feature scaling (StandardScaler). Added interactive data visualizations using Seaborn and Matplotlib to analyze housing trends. Technologies Used: Python, Streamlit, Pandas, Scikit-learn, Machine Learning.

Trust Check - Cyber Safety and Malicious URL Detection System

May 3, 2026 – Present

Developed a machine learning-based web application to detect phishing and malicious URLs and improve online security. Implemented a Random Forest classification model to analyze URLs using features like URL length, digits, special characters, HTTPS usage, and suspicious keywords. Built a Flask-based web interface for real-time URL security analysis and prediction. Integrated a PDF scanning feature to detect suspicious or malicious links embedded in documents. Implemented a phone number lookup module to verify unknown numbers and identify potential scam sources. Added a Nearby Police Station locator to help users quickly find law enforcement support in case of cyber threats. Technologies Used: Python, Flask, Scikit-learn, Pandas, Machine Learning.

Certifications

Fundamentals of Python

Google

January 1, 2024 – Present

Training on JAVA

Lakshya Institute of Technology

January 1, 2023 – Present

Training on C

Lakshya Institute of Technology

January 1, 2023 – Present