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Data Science with less than a year in data analysis, machine learning, and AI systems 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
I create small-scale systems utilizing data and machine learning principles, with a focus on practicality over theory. Systems have included natural language query interfaces, document analysis, and generative Al systems on a smaller scale. I am new to my career and would prefer hands-on learning experience through the development of such systems utilizing actual data.
ST ALBERT'S COLLEGE (AUTONOMOUS)
BSC.COMPUTER SCIENCE · Computer Science
August 1, 2022 – March 1, 2025
Luminar Technolab
Internship
June 1, 2025 – February 1, 2026
India
Bike Buyers Analysis System
June 1, 2026 – Present
Created a data analysis project to identify key factors influencing bike purchase decisions. Cleaned and processed datasets using Python (Pandas, NumPy) for accurate insights. Applied exploratory data analysis (EDA) to find patterns based on income, age, and region. Visualized customer segments and buying trends using charts and dashboards.
AI Recipe Generator
June 1, 2026 – Present
Created a Generative AI system that recommends recipes based on the specified ingredients and preferences through Python and Streamlit. Structured prompts using parameters, such as cooking time and cuisine, to generate better responses. Enabled API integration, JSON parsing, and response validation for better recipe recommendations.
YouTube Trend Analyser
June 1, 2026 – Present
Analyzed YouTube data using Python (Pandas, Streamlit) to identify trending videos and high-performing channels. Built an interactive dashboard with keyword search, category filtering, and real-time video display. Evaluated views and likes to understand performance and rank videos and creators. Generated insights from a dataset of 30M+ views to understand content trends and audience engagement.
Data Science-Python
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects show a strong interest in data science and AI, aligning well with a data-driven culture. The diversity of projects (YouTube trends, recipe generation, bike buyer analysis) indicates curiosity and a willingness to explore different problem domains. The stated preference for hands-on learning suggests adaptability and a proactive approach to skill development, which is a positive cultural fit for dynamic environments. However, the lack of team-based projects or explicit collaboration experience means cultural fit regarding teamwork cannot be fully assessed.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a practical, hands-on approach to problem-solving, focusing on building small-scale systems. The profile statement suggests a preference for learning through development with actual data, which aligns with an operational role requiring continuous skill application. The projects demonstrate an ability to work independently on defined problems.