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Entry-level AI/ML and Data Analytics Engineer with 2.0 years of internship experience.
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Assessing your cultural and operational fit
Aspiring AI and Data Science Engineering student with strong foundations in Python, problem-solving ability, and hands-on experience in data analysis and machine learning projects. Capable of building end-to-end data pipelines (cleaning → modeling → evaluation) and translating insights into practical outcomes. Open to Software Developer, Data Analyst, and entry-level AI roles where I can apply my skills, learn continuously, and contribute to impactful solutions.
ZCOER-Pune
BE · AI&DS Engineering
August 1, 2022 – June 30, 2026
Maharashtra Board
HSC · Science
June 1, 2022 – May 31, 2022
Maharashtra Board
SSC
June 1, 2020 – May 31, 2020
Codtech IT Solutions
AI Intern
November 1, 2025 – June 1, 2026
India
InspireLeap
Data Science Intern
February 1, 2025 – June 1, 2026
India
Customer Churn Prediction System
June 24, 2026 – Present
Built and evaluated a machine learning model using Logistic Regression and Decision Trees to predict customer churn, performing data preprocessing, feature engineering, and achieving ~80% accuracy using Python, Pandas, and Scikit-learn.
Movie Recommendation System
June 24, 2026 – Present
Developed a content-based movie recommendation system using TF-IDF and cosine similarity. Built using Python, Pandas, and Scikit-learn to generate personalized recommendations based on user preferences.
Visual Verse: Text & Speech to Video
June 24, 2026 – Present
Created a system that converts text and speech into dynamic video output. Worked on integrating multimodal inputs and processing pipelines. Developed a workflow for input processing → transformation → video rendering.
Artificial Intelligence
Codtech IT Solutions Pvt Ltd
November 1, 2025 – Present
Data Science
InspireLeap (Wipro Dice ID Program)
February 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects and internships show a clear focus on AI/ML and Data Science, aligning well with an AI Engineer target role. The diversity of projects (churn prediction, recommendation systems, multimodal processing) indicates a breadth of interest within the AI domain. The academic nature of most projects and the internship experience suggest a foundational, rather than senior, level of practical application. The candidate is still pursuing a bachelor's degree, which implies a learning-oriented mindset suitable for growth within a team.
Soft Skills & Operational Fit
The candidate highlights analytical thinking, strong process orientation, high attention to detail, adaptability, quick learning, and clear communication as core strengths. These traits are beneficial for an AI Engineer role, indicating a potential for structured problem-solving and continuous learning. However, without direct assessment, these remain self-reported.