Software Engineer Intern | Data science and Analytics Enthusiast
I am actively seeking opportunities in Software Engineering and Data Science where I can leverage my strong foundation in full-stack development and analytics to meet company and end-user needs. As an organized and motivated Python Developer with proficiency in Django, HTML, CSS, JavaScript, and SQL/MySQL, I excel at generating efficient, modular code and optimizing existing codebases. My experience spans from developing web applications to conducting data analysis and implementing machine learning models. I'm a quick learner with a track record of successfully completing diverse projects, from task management systems to predictive analytics. Passionate about continuous learning, as evidenced by my AWS and TensorFlow certifications, I consistently strive for excellence and ensure results are achieved in every endeavor. I'm eager to contribute my technical skills to drive company success in a dynamic, entry-level role.
Passionate Software Engineer Intern with a strong foundation in full-stack development and data science. Proficient in Python, Django, SQL, and various frontend technologies, I have leveraged these tools in multiple projects and during my internship at Aptsol Global Tech Pvt. My commitment to continuous learning is demonstrated by the numerous certifications I've earned, including AWS Certified Machine Learning Specialty and TensorFlow Developer Certificate.
What sets me apart is my ability to not just work with code and data, but to create efficient, modular solutions that drive business success. From developing task management systems to analyzing Play Store data, I understand how to translate technical skills into valuable insights and applications.
I'm always on the lookout for challenging roles that will allow me to put my diverse skill set to use, from full-stack development to data analytics and machine learning, while also offering opportunities for further personal and professional growth.
In my spare time, I continue to expand my knowledge in software engineering, data science, and AI. I actively contribute to open-source projects on GitHub and engage in discussions related to the field on various online platforms. Feel free to connect with me via LinkedIn or explore my portfolio for collaborations, opportunities, or tech-related discussions.
Python, SQL
HTML, CSS/Bootstrap, JavaScript
Django framework
Data Cleaning, Data Visualization
Regression, Classification
TensorFlow
VS Code, MS Excel, Power BI
MTech, CSE
Sep 2019 - Sep 2021
Grade: 7.81
BE, IT
Aug 2015 - May 2019
Grade: 67%
Intermediate, MPC
Jul 2013 - May 2015
Grade: 83%
Xth, SSC
Jun 2012 - May 2013
Grade: 9.3
Issued by HiCounselor
Jan 2023
Issued by Forage
Dec 2022
Issued by Forage
Nov 2022
Issued by TensorFlow
Oct 2022 - Oct 2025
Issued by Coursera
Aug 2022
Issued by AWS
Feb 2022 - Feb 2025
Aptsol Global
Feb 2024 - present
MedTourEasy
Nov 2023 - Nov 2023
Trainity
Jul 2023 - Sep 2023
Gilbert Research Center
May 2023 - Jul 2023
Brainnest
Jan 2023 - Jan 2023
Developed a Task Manager application with admin login functionality. The admin can perform CRUD operations—add, view, update, and delete tasks. A unique feature of this project is the use of Bootstrap Modals for task management, enhancing the user experience by providing a seamless and interactive interface for CRUD operations.
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Developed a service request management application using Django and MySQL, featuring creation, assignment, and tracking of requests, real-time email notifications via SMTP, and user interfaces designed with HTML, CSS, and Bootstrap 5.
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Developed a Hospital Management System application focused on CRUD operations for nurse details. Implemented login and signup functionalities for the admin, who, upon successful authentication, is redirected to a list of nurses working in the hospital. The admin can view nurse information, add new nurses, update nurse details, and delete nurses who are no longer working in the hospital, ensuring efficient management of nurse records.
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In this project Analyzed Instagram data for marketing and investor metrics using RDBMS SQL, MySQL Workbench, and data munging tasks.
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In this project data is collected from Playstore then it is cleaned, processed and used to generate interesting insights.
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In this project data is collected from client then it is cleaned, processed and used to generate interesting insights.
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In this project predictions are made whether customer is going to cancel a hotel/resort booking.
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In this project cricket data is web scraped from ESPN Cricinfo website, and stored in Excel files, and a dashboard is made using PowerBi.
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In this project, price prediction is done for houses in India.
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In this project a virtual assistant(rule-based) capable of voice interaction, is developed.
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