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AI Engineer with less than a year in Machine Learning & Data Science
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated final-year B.Tech student specializing in Artificial Intelligence & Data Science with a CGPA of 8.06. Hands-on experience building AI/ML systems, data pipelines, and interactive dashboards. Proficient in Python, machine learning frameworks, and generative AI. Eager to contribute technical expertise and analytical skills in an entry-level data science or AI engineering role.
St. Martins Engineering College
Bachelor of Technology · Artificial Intelligence & Data Science
June 1, 2022 – May 1, 2026
NSR Impulse Junior College
Class XII · MPC
June 1, 2020 – August 1, 2022
Autonomous Analogous Engine using Generative AI
October 1, 2025 – February 1, 2026
Built an AI-driven system leveraging LLMs to automatically generate context-aware analogies between concepts, improving cross-domain knowledge transfer. Applied NLP techniques to parse and understand input context, extracting key semantic information for analogy generation. Implemented vector embeddings to compute semantic similarities across diverse domains. Integrated LLM APIs with Python and applied advanced prompt engineering to enhance coherence and relevance of generated outputs. Designed a scalable, automated pipeline supporting real-time analogy generation for multiple concurrent inputs.
PhonePe Data Visualization & Analytics Dashboard
May 1, 2025 – June 1, 2025
Collected and processed large-scale transaction, user, and insurance data from the PhonePe Pulse GitHub repository using Python. Performed data extraction, cleaning, and transformation on structured JSON datasets, then stored results in SQL-ready tables for efficient querying. Conducted EDA to surface trends in digital payment adoption, user growth, and transaction volumes at state and district levels. Built interactive Power BI dashboards with dynamic filters, drill-down reports, map visuals, and KPI cards to support data-driven decision-making. Delivered end-to-end project demonstrating strong Python, SQL, data visualization, and analytical thinking skills.
Data Science with Generative AI
Medha Edu Tech
May 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to applying theoretical knowledge to practical problems. The 'Autonomous Analogous Engine' project shows innovation and a focus on advanced AI, which aligns with a forward-thinking AI engineering culture. The 'PhonePe Data Visualization' project indicates an ability to handle real-world data and deliver actionable insights, suggesting a results-oriented mindset. However, the lack of professional experience and diverse project types beyond academic settings limits the assessment of broader cultural fit aspects like navigating corporate structures or contributing to open-source communities.
Soft Skills & Operational Fit
The candidate lists strong communication, stakeholder management, team collaboration, analytical thinking, and adaptability as soft skills. These are crucial for an AI Engineer role, especially in collaborative project environments. The project descriptions indicate an ability to work through end-to-end data pipelines and integrate various technologies, suggesting good operational fit for project execution.