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AI Engineer with less than a year in Data Science & Machine Learning
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 Institute 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 18, 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 18, 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 Virtual Internship
June 1, 2026 – Present
CELONIS Process Mining Virtual Internship
CELONIS
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a focus on practical applications of AI/ML, which aligns with a results-driven culture. The certifications in Alteryx and Celonis suggest an interest in process automation and data analytics beyond core ML, indicating a breadth of interest. However, the lack of professional experience means cultural fit is largely inferred from academic pursuits and stated objective.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an eagerness to solve real-world problems and apply analytical thinking. However, without specific behavioral assessment data or interview insights, it is difficult to fully assess soft skills like teamwork, communication, or adaptability in a professional setting. The academic nature of projects suggests a learning-oriented individual.