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AI Engineer with less than a year in Python, ML, and data analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Tech graduate in Artificial Intelligence and Data Science with a CGPA of 7.82/10, having a strong foundation in Python, machine learning, and data analysis. Passionate about solving real-world problems through data-driven insights and intelligent systems. Eager to apply technical knowledge, analytical thinking, and problem-solving skills in a challenging professional environment.
Vishnu Insitute of Technology
B.Tech · Artificial Intelligence and Data Science
August 1, 2021 – June 30, 2025
Priyadarshini Junior College
Intermediate
June 1, 2019 – May 31, 2020
Narayana E.M High School
SSC
June 1, 2017 – May 31, 2018
Stock Market Price Prediction
June 1, 2026 – Present
Developed a stock market price prediction model leveraging regression and time series analysis to forecast future prices using historical data. Demonstrated strong abilities in financial analytics, machine learning, and building end-to-end predictive workflows. Achieved 85 percent accuracy.
Movie Recommendation System
June 1, 2026 – Present
Created a movie recommendation system using collaborative filtering and content-based techniques to suggest personalized movie choices based on user ratings and preferences. The model can be used in recommendation systems and content discovery. Achieved 98 percent accuracy.
Data Analytics Process Automation by ALTERYX Virtual Internship
ALTERYX
June 1, 2026 – Present
CELONIS Process Mining Virtual Internship
CELONIS
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects are directly relevant to an AI Engineer role, demonstrating a clear interest and foundational skill set in the field. The projects showcase an ability to work with data-driven insights and intelligent systems. However, the lack of professional experience, diverse project types beyond academic exercises, or involvement in team-based projects limits the assessment of cultural fit in a collaborative, fast-paced industry environment. The certifications indicate an interest in process automation and data analytics tools, which aligns with a data-centric culture.
Soft Skills & Operational Fit
The candidate's objective statement highlights passion for solving real-world problems and eagerness to apply analytical thinking, suggesting a proactive and problem-solving mindset. However, without direct work experience or behavioral assessment data, it is difficult to fully assess soft skills like teamwork, communication in a professional setting, or adaptability. The academic projects indicate an ability to work independently on defined tasks.