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AI Engineer with less than a year in Machine Learning & Python.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data science enthusiast with hands-on experience in machine learning, statistical analysis, and predictive modeling. Proficient in Python, Scikit-Learn, TensorFlow, and SQL with proven ability to extract actionable insights from complex datasets through EDA, feature engineering, and model building.
Dr. D. Y. Patil College of Engineering and Innovation
Bachelor of Engineering · Computer Engineering
August 1, 2022 – June 30, 2026
Thynk Tech India
Data Science & AI Intern
January 1, 2026 – April 1, 2026
Pune, Maharashtra, India
TechnoHacks Edutech
Python Developer Intern
January 1, 2025 – February 1, 2025
India
AI Data Analyst Agent
March 1, 2026 – Present
Building LLM-powered agent to automate data processing, trend analysis, and report generation with interactive dashboards.
View ProjectZomato vs Swiggy Price Analytics
July 1, 2025 – October 1, 2025
Collected, cleaned, and statistically analyzed competitive pricing data across 10+ cities to identify pricing trends and market patterns. Developed interactive data visualizations enabling data-driven comparison of competitor pricing strategies.
View ProjectCustomer Purchase & Behavior Analysis
March 1, 2025 – June 1, 2025
Performed EDA and statistical analysis on 50K+ customer records to uncover purchasing patterns and segment high-value customer groups. Applied feature engineering and data transformation techniques to prepare data for predictive modeling and behavioral trend analysis.
View ProjectPython Programming
GeeksforGeeks
June 1, 2026 – Present
Introduction to Data Science
Cisco
June 1, 2026 – Present
Data Analysis
LinkedIn Learning & Microsoft
June 1, 2026 – Present
Presented research paper at International AI Engineering Conference (ICAAIE-25)
ICAAIE-25
January 1, 2025 – Present
Cultural Fit Analysis
The candidate shows a strong interest in AI and data science through personal projects and internships. The diversity of projects (customer behavior, price analytics, AI agent) indicates a broad curiosity and willingness to apply skills to different domains. The proactive pursuit of certifications and presenting a research paper suggests a self-driven and continuous learning mindset, which generally aligns well with innovative tech cultures. However, the limited professional experience (internships only) means exposure to diverse team dynamics and corporate environments is still developing.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end data processing tasks and collaborate with cross-functional teams. The development of interactive dashboards suggests an understanding of presenting insights effectively. However, without direct assessment data, specific soft skills like logical reasoning, work attitude, stress handling, and team collaboration cannot be definitively evaluated.