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Full Stack Engineer with less than a year in Java, Python & Web Development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Computer Science and Engineering graduate (2024) with a strong foundation in Java, Python, and Web Development. Experienced in data-driven decision-making through internships in Machine Learning and Data Analytics. Proven ability to build responsive web applications and predictive models using modern frameworks and SQL. Seeking to leverage technical skills to contribute to innovative software solutions.
Usha Rama College of Engineering & Technology (JNTU Kakinada)
Bachelor of Technology · Computer Science & Engineering
August 1, 2021 – June 30, 2024
State Board of Technical Education, Andhra Pradesh
Technical Diploma · Automobile Engineering
August 1, 2018 – June 30, 2021
Z.P. High School, Tadigadapa
Secondary School Certificate
N/A – May 31, 2018
AICTE & Celonis Academy
Process Mining Virtual Internship
June 1, 2026 – Present
India
AICTE & AWS Academy
AI-ML Virtual Internship
June 1, 2026 – Present
India
AICTE & Palo Alto Networks
Cybersecurity Virtual Internship
June 1, 2026 – Present
India
360DigiTMG & APSCHE
Optimization Machine Downtime
April 1, 2024 – April 30, 2024
India
Full-Stack E-Commerce Platform
June 1, 2026 – Present
Architected a full-featured online store using the Django MVT (Model-View-Template) framework, ensuring a clean separation of data logic and presentation. Developed a dynamic front-end using HTML5, CSS3, and JavaScript, creating a responsive user experience for product browsing and shopping cart management. Implemented Django Models to manage complex relational data for products and order history with automated migrations. Engineered Custom Views to handle business logic, including form validation for user registration and secure checkout processes.
Food Truck Success Prediction using Machine Learning
June 1, 2026 – Present
Collaborated on a data-driven model to predict business success based on geographic and demographic variables. Implemented supervised learning algorithms including Linear Regression, Decision Trees, and Random Forest. Performed feature selection and hyperparameter tuning to ensure high model accuracy.
Power BI & Data Analytics Simulations (Forage)
June 1, 2026 – Present
PwC: Developed dashboards for Call Centre Trends and Customer Retention analysis; visualized Diversity & Inclusion KPIs. Deloitte: Performed data analysis to identify trends and solve business problems using forensic technology concepts.
Full-Stack E-Commerce Web Application
June 1, 2026 – Present
Developed a dynamic, e-commerce platform to manage products, and shopping carts. Engineered the backend using Java Servlets and JSP to handle asynchronous HTTP requests. Implemented using JDBC for CRUD operations, including prepared statements to prevent SQL injection. Configured and deployed the application on Apache Tomcat Server, managing server-side configurations.
Data Visualization with Python
IBM Developer Skills Network
June 1, 2026 – Present
AWS Certified Cloud Practitioner(CLF-C02)Cert prep:1 Cloud Concepts
Linked In learning
June 1, 2026 – Present
Python 101 for Data Science
IBM Developer Skills Network
June 1, 2026 – Present
Introduction to AI
June 1, 2026 – Present
Introduction to Industry 4.0 and IIoT
NPTEL
July 1, 2022 – Present
Cultural Fit Analysis
The candidate shows a broad interest in various technical fields, including full-stack development, machine learning, data analytics, cybersecurity, and process mining, which indicates adaptability and a willingness to explore diverse areas. Participation in academic projects and virtual internships suggests a proactive and self-driven learning approach. The academic background in Computer Science & Engineering aligns with a technical culture. However, the absence of real-world team project experience limits the assessment of collaboration and interpersonal skills in a professional setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to architect solutions and implement business logic, suggesting problem-solving and analytical skills. Participation in workshops and hackathons points to a collaborative and learning-oriented mindset. However, the lack of professional work experience makes it difficult to assess operational fit and advanced soft skills like leadership or complex stakeholder management.