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Python Engineer with less than a year in automated systems, machine learning, and web development.
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Assessing your cultural and operational fit
BTech in Computer Science and Engineering with First Class with Distinction, knowledgeable in automated systems, machine learning, and web development. Proficient in Python, SQL Completed internships and certifications in Python and front-end development.
Annasaheb Dange College of Engineering and Technology, Ashta
BTech · Computer Science and Engineering
August 1, 2020 – June 30, 2024
Sadguru Gadage Maharaj College, Karad
Higher Secondary
June 1, 2018 – May 31, 2020
Sadguru Gadage Maharaj College, Karad
Second Secondary
June 1, 2017 – May 31, 2018
Infosys Springboard
Python Stack Developer
May 1, 2024 – July 1, 2024
India
Automating-Bank-Check-Extraction-from-Scanned-PDFs
May 1, 2024 – July 1, 2024
Developed a sophisticated automated solution for text extraction from scanned PDF bank checks, cutting manual processing hours by 80% and enhancing data accuracy by 25%, streamlining financial workflows. Implemented optical character recognition (OCR) using Python and MSOCR.
View ProjectCloud-Based Skin Disease Detection Using ML
January 1, 2023 – January 1, 2024
Developed a machine learning model for detecting skin diseases. Built a web application using Flask for user interface and interaction. Implemented front-end components using HTML, CSS, and JavaScript. Deployed the application on the cloud and integrated MongoDB for database management.
View ProjectRFID base Door-lock system
January 1, 2022 – January 1, 2023
Developed an RFID-based door lock system for secure access control. Designed and implemented the web interface using HTML, CSS, and JavaScript. Utilized XAMPP for local server setup and database management. Programmed the microcontroller using Arduino IDE for RFID tag reading and control.
Python for Data-science
NPTEL
January 1, 2023 – Present
Crash course on python
Coursera
January 1, 2023 – Present
Cultural Fit Analysis
The candidate has engaged in academic projects that demonstrate problem-solving and application development. The internship at Infosys Springboard aligns with industry exposure. The variety of projects (ML, OCR, embedded systems) shows a breadth of interest, which can be beneficial for adaptability. However, the experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse technical challenges, from OCR and machine learning to embedded systems. The internship at Infosys Springboard suggests an understanding of structured development environments. However, without psychometric test results, it's difficult to assess logical reasoning, work attitude, stress handling, or team collaboration directly.