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AI & Data Science Graduate
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI and Data Science graduate (CGPA: 7.85) with hands-on experience building ML systems, full-stack web applications, and AI-powered tools. Proficient in Python, React.js and SQL, with project exposure spanning predictive analytics, voice interfaces, and RESTful API design. Seeking full-stack developer or AI/Data Science roles where I can contribute to real-world product delivery.
SDM Institute Of Technology, Ujire
Bachelor of Engineering · AI & DS
December 1, 2022 – August 1, 2026
Oxford PU College, Channapatna
Pre University
August 1, 2020 – May 1, 2022
DivyaChethana English High School, Channapatna
SSLC
June 1, 2019 – May 1, 2020
Pyspiders
Software Development Intern
January 1, 2026 – May 1, 2026
India
Hotel Property Rental Platform
August 1, 2025 – October 1, 2025
Built a full-stack Hotel Booking Platform using React.js, Node.js, Express.js, and MongoDB. Developed RESTful APIs for user authentication, hotel listings, room booking, and reservation management. Integrated JWT authentication to secure user login and protected routes. Performed CRUD operations for hotels, rooms, bookings, and user profiles using MongoDB.
Energy Consumption Forecasting Agent
April 1, 2025 – August 1, 2026
Built a machine learning-based predictive analytics system to forecast energy consumption across domestic household appliances, enabling appliance-level usage visibility for residential users. Engineered models on historical appliance usage data (AC, refrigerator, washing machine and more) to surface actionable optimization insights, reducing manual analysis effort for energy planning.. Designed a smart recommendation engine targeting common household appliances to reduce energy wastage and guide cost-effective consumption habits.
House Price Prediction
February 1, 2025 – April 1, 2025
Developed a house price prediction web application using Python, Streamlit, Pandas, and Scikit-learn. Trained and deployed a Random Forest Regressor for accurate real estate price prediction. Integrated interactive UI, market comparison, and data visualization for enhanced user experience.
PDF to Audio Converter
December 1, 2024 – January 1, 2025
Developed a Python tool to convert PDF text to natural-sounding speech, processing documents up to 50 pages and improving accessibility for visually impaired users. Integrated text extraction and TTS libraries to deliver a fully automated, end-to-end audio conversion pipeline requiring zero manual intervention across 3 output formats.
Frontend Web Development
CodTech IT Solutions
June 1, 2026 – Present
Software Engineering & Agile Development
Infosys
June 1, 2026 – Present
Deep Learning
Infosys
June 1, 2026 – Present
Introduction to Large Language Models (LLMs)
Infosys
June 1, 2026 – Present
Cybersecurity
June 1, 2026 – Present
The candidate scored 88% on the 'Data Scientist — Artificial Intelligence' test, indicating a strong grasp of the subject matter and high proficiency in relevant skills.
Strengths
Limitations
Cultural Fit Analysis
The candidate's academic background in AI & DS, coupled with diverse projects spanning predictive analytics, NLP, and full-stack development, aligns well with the target role of a Python AI/ML Engineer. The projects demonstrate initiative and a willingness to explore different facets of AI and software development. The certifications in Deep Learning and LLMs further indicate a commitment to continuous learning and staying current with industry trends, which is a positive for cultural fit in a dynamic tech environment. The low psychometric score, however, could be a concern regarding adaptability and collaboration within a team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to problem-solving and a focus on user experience (e.g., improving accessibility, interactive UI). The internship experience suggests an ability to work on end-to-end product development. However, the psychometric test score is low, which might indicate potential challenges in logical reasoning, work attitude, stress handling, or team collaboration. Further assessment would be needed to understand the implications for operational fit.