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Data Science with less than a year in Machine Learning & Generative AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Final-year Electronics and Communication Engineering student with experience in Machine Learning, Data Analytics, and Generative AI. Skilled in Python, SQL, LLMs, Prompt Engineering, Power BI, and AI-powered application development. Passionate about building intelligent systems and solving real-world problems through data-driven solutions.
St. Martin's Engineering College
B.Tech · Electronics and Communication Engineering
August 1, 2022 – June 30, 2026
Siva Sivani Junior College
Intermediate · MPC
June 1, 2020 – May 31, 2022
St. Anthony's High School
SSC
June 1, 2019 – May 31, 2020
AI Placement Mentor
June 1, 2026 – Present
Developed an AI-powered career guidance assistant using Python and Google Gemini API. Implemented resume review, interview preparation, and personalized roadmap generation. Applied prompt engineering and conversational AI techniques to provide tailored guidance.
ROCOLE: Coffee Leaf Disease Detection
June 1, 2026 – Present
Developed machine learning models for coffee leaf disease classification. Implemented Gaussian Naive Bayes and Support Vector Machine algorithms. Achieved 93.7% classification accuracy. Performed preprocessing, feature extraction, and model evaluation.
Customer Shopping Behavior Analysis
June 1, 2026 – Present
Conducted data cleaning and exploratory data analysis. Performed SQL-based business analysis and customer segmentation. Built interactive Power BI dashboards for KPI tracking. Generated actionable insights through sales trend analysis.
Claude 101
Anthropic
June 1, 2026 – Present
AI Fluency: Framework & Foundations
Anthropic
June 1, 2026 – Present
AWS Technical Essentials
AWS
June 1, 2026 – Present
Power BI Certification
Simplilearn
June 1, 2026 – Present
Python Foundation Course
Infosys Springboard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in applying AI and data science to solve real-world problems, aligning well with an innovative and impact-driven culture. The diversity of projects (disease detection, career guidance, customer analysis) shows adaptability and a broad interest in different domains. Participation in hackathons and leadership activities suggests a collaborative spirit and a willingness to engage with the tech community. The certifications indicate a proactive approach to skill development, which is a positive cultural trait.
Soft Skills & Operational Fit
The candidate's involvement in organizing technology awareness events suggests good organizational skills and a proactive attitude. Participation in hackathons and study jams indicates a drive for continuous learning and problem-solving. The 'AI Placement Mentor' project demonstrates an ability to develop user-centric solutions and apply conversational AI techniques, which could translate to good communication and empathy in a team setting. However, without direct work experience, the operational fit in a professional environment is yet to be fully proven.