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Software Development Engineer with less than a year in Python & Machine Learning for Software/Full S
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Assessing your cultural and operational fit
Motivated and detail-oriented B.Tech graduate in Data Science with a strong foundation in Python, SQL, web development, and database management. Skilled in building projects using machine learning and web technologies, with hands-on experience in Fake News Detection and Online Apparel Shopping applications. Certified through NxtWave and Data Science training programs, with a passion for problem-solving, continuous learning, and software development. Seeking an entry-level Software Developer or Full Stack Developer role to apply technical skills, contribute to innovative projects, and grow in a dynamic professional environment.
Sri Indu Institute of Engineering & Technology
B.Tech · Computer Science Engineering (Data Science)
January 1, 2022 – June 30, 2026
Elewayte Institute
Data Science Trainee
September 1, 2024 – October 31, 2024
India
Fake News Detection
June 24, 2026 – Present
The Fake News Detection project uses Python and machine learning techniques to classify news articles as real or fake based on textual content. It involves data preprocessing, feature extraction (e.g., TF-IDF), and model training with algorithms like logistic regression or Naive Bayes.
Online Apparel Shopping
June 24, 2026 – Present
Developed a web-based application for online apparel browsing, cart management, and order processing using Python. Implemented user and admin modules with features like product catalog, search & filters, cart, checkout, and order tracking. Designed the system using UML diagrams and ensured functionality through unit, integration, and system testing.
Hybrid Machine Learning Model for Botnet Attack Detection in IoT
June 24, 2026 – Present
Developed a hybrid machine learning-based system to detect botnet attacks in IoT environments by combining traditional classifiers and anomaly detection techniques. Implemented feature selection and imbalance-handling methods to improve detection accuracy and reduce false positives. Evaluated the model on benchmark IoT datasets, achieving improved precision, recall, and robustness compared to single-model approaches.
Build Your Own Static Website
NxtWave CCBP 4.0 Academy
January 1, 2025 – Present
Build Your Own Responsive Website
NxtWave CCBP 4.0 Academy
January 1, 2025 – Present
Introduction to Databases
NxtWave CCBP 4.0 Academy
January 1, 2025 – Present
XPM 4.0 Fundamentals
NxtWave CCBP 4.0 Academy
January 1, 2025 – Present
Data Science Certification
Elewayte Institute
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interests from web applications to machine learning and IoT security, indicating adaptability and a willingness to explore diverse technical domains. Participation in a hackathon and leadership roles suggest a proactive, collaborative, and problem-solving mindset. The pursuit of multiple certifications also shows a commitment to continuous learning, which aligns well with a culture of innovation and growth. The target role of 'Software Development Engineer' aligns with the candidate's foundational skills in Python, web development, and problem-solving, although more depth in core software engineering principles would strengthen the fit.
Soft Skills & Operational Fit
The candidate highlights soft skills such as problem-solving, time management, collaboration, and communication, which are crucial for team-based software development. Participation in a hackathon and leadership roles as 'Team Captain' suggest an ability to work effectively in dynamic environments and contribute to team success. The 'Quick Learner' trait is valuable for adapting to new technologies and methodologies.