Software Developer with less than a year in Python, Java, and Data Analytics, skilled in Machine Lea
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Master of Computer Application graduate with strong technical skills in Python, Java, and web technologies. Experienced in developing machine learning models for license plate recognition and optimizing disk scheduling algorithms. Proficient in data analytics tools like Tableau and Power BI, with a solid understanding of cybersecurity best practices through virtual simulations. A proactive problem-solver with excellent communication skills, eager to contribute to innovative software development projects.
NIST Institute of Science & Technology
Master of Computer Application
August 1, 2022 – June 30, 2024
Deloitte Australia
Data Analytics Job Simulation(Virtual)
December 1, 2024 – February 1, 2025
India
Tata Cybersecurity
Security Analyst Job Simulation(Virtual)
May 1, 2024 – July 1, 2024
India
Weather App Using an External api
January 1, 2022 – June 1, 2024
Weather Application: Web/Mobile App with API Integration. Developed a weather application leveraging API to fetch real-time weather data. Technology Used: HTML,CSS,JAVA SCRIPT.
License Plate Recognition Using Machine Learning
January 1, 2022 – June 1, 2024
The Number Plate Recognition system recognizes characters on license plate through the combination of various techniques & algorithms. Designed an automatic vehicle identification system using Machine Learning algorithm. Implemented KNN for number plate recognition with 98.7% accuracy. Technology Used: Python, Open CV, Easy Ocr, ML.
Disk Scheduling Algorithm in Operating System
January 1, 2022 – June 1, 2024
Disk Scheduling Algorithm: A method used by the operating system to determine the order in which I/O requests are serviced. Developed a disk scheduling project optimizing read/write optimization. Technology Used: FCFS, SSTF, SCAN and C-SCAN algorithm.
Programming in Java
Yhills, NPTEL
June 1, 2026 – Present
Python Programming
Wexdi Softskills, Google Coursera, Infosys
June 1, 2026 – Present
Data Structures and Algorithms
University of California San Diego
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and virtual internships show a breadth of interest across machine learning, web development, operating systems, data analytics, and cybersecurity. This diversity indicates an eagerness to learn and explore different technical domains. However, the experience is primarily academic and simulation-based, which may require significant ramp-up in a professional, fast-paced environment. The target role of 'Software Developer' is broad, and the candidate's diverse interests could be an asset if channeled effectively, but also suggests a lack of deep specialization at this stage.
Soft Skills & Operational Fit
The candidate lists several soft skills including leadership, teamwork, adaptability, time management, and proactive problem-solving. However, these are self-declared and not validated by assessment data or detailed project descriptions. The virtual internships suggest an ability to follow instructions and complete structured tasks, but do not provide insight into independent operational fit or complex problem-solving in a team setting.