Information Science & Engineering Student.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
LZW-Algorithm
February 20, 2023 – February 20, 2023
Lempel-Ziv-Welch Algorithm on text file using encoding and decoding.
View ProjectInternship-Management-System
February 19, 2023 – February 20, 2023
One stop management system for colleges, companies and students.
View ProjectAasha-Web-App
February 19, 2023 – February 19, 2023
Web application for project Aasha @ Sahyadri Samyama Tech LLP.
View ProjectCar-Prediction-Model
January 2, 2023 – February 19, 2023
A car price prediction system using machine learning with Python.
View Projectprekshapalva
May 28, 2022 – October 26, 2023
Configuration file for my GitHub profile - prekshapalva.
View ProjectAir-Canvas
March 5, 2021 – February 19, 2023
A canvas to draw anything by simply capturing hand movement.
View ProjectFace-Detector
March 5, 2021 – February 19, 2023
A face detector using the haar cascade classifier in OpenCV Python.
View ProjectObject-Detector
February 11, 2021 – February 19, 2023
Web application based object detection using YOLO model.
View ProjectShipping-Box
January 19, 2021 – January 19, 2021
Application to maintain records of the boxes to be shipped globally.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, indicating self-motivation and a passion for learning and applying technical skills. The diversity of projects, from machine learning to web development and algorithms, suggests a broad technical curiosity. However, the lack of team-based or professional projects makes it difficult to fully assess collaboration and cultural alignment within a structured team environment. The projects align well with the 'Data Scientist' target role, demonstrating a foundational interest in the field.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.