Python Engineer with less than a year in Web Development & Machine Learning
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To obtain an entry-level position in a reputed organization where I can utilize my technical skills, enhance my knowledge, and contribute to the success of the company while growing professionally.
Visvesvaraya Technological University
B.E. · Computer Science Engineering
August 1, 2022 – June 30, 2026
Presentation Girls PU College Dharwad
PU (science)
June 1, 2020 – May 31, 2022
Sri Sivananda Bharathi Middle School Sulla
SSLC
June 1, 2019 – May 31, 2020
Nexus Core Innovations
Data Analytics Intern
February 1, 2026 – June 1, 2026
India
E-Commerce Platform
June 1, 2026 – Present
To develop an online shopping platform that allows users to browse products, add them to a cart, and proceed with billing, providing a smooth and interactive online shopping experience. Technology Used: HTML, CSS, Bootstrap, Flask
Pothole Detection System using iot
June 1, 2026 – Present
To develop an intelligent system that detects potholes on roads using sensors or image processing and reports their location automatically to improve road maintenance and safety. Hardware Used: Ultrasonic Sensor / Camera, GPS Module, Other. Tools: Arduino IDE
View ProjectBeginner python
Simplilearn
June 1, 2026 – Present
Data science using python
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show an interest in both web development and IoT, indicating a diverse curiosity. The target role is 'Python Engineer', which aligns with their stated programming language skill and certifications. However, the projects are academic and entry-level, suggesting a need for significant growth to fit into a senior engineering culture. The Data Analytics Intern role also aligns with Python's use in data science, showing some breadth of interest.
Soft Skills & Operational Fit
The candidate lists teamwork, problem-solving, time management, and leadership as soft skills. The academic projects suggest an ability to work on defined tasks. However, without further details on collaborative efforts or specific challenges overcome, it's difficult to assess the depth of these skills in an operational context.