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Entry-Level Software Developer: Python, Django, React

Location:
Pune, Maharashtra, India
Posted:
April 24, 2026

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Resume:

sanket shashikant solanke

*****************@*****.*** 749-***-**** Pune,Maharashtra

linkedin.com/in/sanket-solanke-7b1232258 github.com/Sanketsolanke01 CAREER OBJECTIVE

To secure an entry-level software development role where I can utilize my knowledge of Python, Django,React, SQL, and web technologies to contribute to organizational growth while continuously improving my technical and professional skills.

EDUCATION

Bachelor of Technology (B.Tech), Computer Engineering Vidya Vikas Pratishthan Institute of Engineering and Technology, Solapur CGPA-7.03

2021 – 2025

Solapur

HSC (12th)

Shelgaon(R) Junior College, Solapur

78.67%

2020 – 2021

Solapur

SSC (10th)

Kauthali Vidyalaya, Kauthali

76.60%

2018 – 2019

solapur

TECHNICAL SKILLS

Programming Languages: Python, SQL, JavaScript, HTML5, CSS3 Frameworks & Libraries: React.Js, Django, Pandas, NumPy, Matplotlib, Seaborn Web Technologies: RESTful APIs, JSON, Responsive Web Design Developer Tools: Power BI, VS Code, Google Colab, PyCharm Tools & Databases: Oracle SQL*Plus, Postman, Git, GitHub CERTIFICATES

Python Certification Responsive Web Design

PROJECTS

Hospital Management Dashboard

Technologies: React,JavaScript, RestAPI, FastAPI, Axios

•Developed a full-stack web application with JWT-based authentication.

•Integrated FastAPI backend with React frontend using Axios.

•Implemented protected routes and doctor management module (CRUD). Student Placement Tracker

Technologies: HTML, CSS, JavaScript

•Developed a web-based application to manage and track student placement records.

•Designed a responsive and user-friendly interface.

•Deployed the project on Netlify.https://studentplacementracker.netlify.app/ Sugarcane Leaf Disease Detection

Technologies: Python, TensorFlow, InceptionV3, Streamlit

• Developed deep learning model using InceptionV3 architecture to classify sugarcane leaf diseases.

• Implemented multilingual audio output feature using Googletrans and gTTS for accessibility

• Created real-time prediction interface with Streamlit for seamless user interaction and immediate feedback

• Processed and augmented image datasets to improve model performance and generalization PROFESSIONAL TRAINING

Python Full Stack Developer Training

QSpiders - Software Testing Training Institute, Pune, Maharashtra



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