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Generative AI Engineer with less than a year in Machine Learning & Data Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst and AI/ML Engineer with strong hands-on experience in Machine Learning, Data Analytics, and Generative AI technologies. Skilled in Python, SQL, Power BI, Tableau, and building intelligent applications using LLMs, LangChain, and Retrieval-Augmented Generation (RAG). Experienced in data preprocessing, exploratory data analysis (EDA), predictive modeling, dashboard development, and AI-powered chatbot solutions. Passionate about solving real-world business problems through data-driven insights and modern AI technologies.
Sri Venkateswara College of Engineering & Technology, Etcherla (JNTU-GV)
B.Tech · Computer Science & Engineering
August 1, 2022 – June 30, 2026
Santiniketan Junior College, Srikakulam
Intermediate
June 1, 2020 – May 31, 2022
Government High School, Ponduru
SSC
June 1, 2019 – May 31, 2020
Personal Portfolio Website
June 21, 2026 – Present
Designed and developed a responsive portfolio website showcasing technical and analytics projects. Implemented responsive design principles to enhance usability across desktop and mobile devices. Deployed the website using GitHub Pages for version control and online accessibility.
UPI Fraud Detection System
June 21, 2026 – Present
Built a UPI fraud detection pipeline using Python and ML to process large datasets, achieving a 96% accuracy rate in identifying high-risk transaction anomalies.
Diabetes Risk Prediction & Healthcare Analytics
June 21, 2026 – Present
Developed a high-performance classification model that achieved an 89% accuracy rate in identifying diabetic risk factors across a test sample of 7000+ patient records.
Web Development
Apex Planet
June 1, 2026 – Present
Python Programming
GeeksforGeeks, Codtech IT Solutions
June 1, 2026 – Present
Excel
Udemy
June 1, 2026 – Present
MySQL
GeeksforGeeks
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in applying AI/ML to real-world problems (fraud detection, healthcare analytics). The personal portfolio website shows initiative and a desire to showcase work. The breadth of skills (Python, SQL, ML, Generative AI, Web Dev) indicates a versatile learner. However, the lack of professional experience and the academic nature of projects suggest a need for mentorship and structured team environments to fully integrate into a professional culture.
Soft Skills & Operational Fit
The candidate lists several soft skills including Analytical Thinking, Problem Solving, Communication, and Team Collaboration. These are crucial for a Generative AI Engineer role, which often involves complex problem-solving and cross-functional collaboration. However, these are self-reported and not validated by assessments or professional experience.