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Data Science with less than a year in Machine Learning & Data Analytics
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Assessing your cultural and operational fit
Data Science enthusiast with foundational knowledge in Artificial Intelligence and Data Science, currently pursuing a Bachelor of Engineering. Eager to apply skills in machine learning, data analysis, and visualization to solve real-world problems. Proven ability to build predictive models, design dashboards, and derive data-driven insights through practical projects and internships.
D.Y. Patil College of Engineering, Pune
Bachelor of Engineering · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
Tata Motors
AIML Intern
February 1, 2025 – May 1, 2025
Pune, Maharashtra, India
WebMobi360 B2B AIML Solutions
Business Analyst Intern
June 1, 2024 – September 1, 2024
India
AI Burnout Detection System
June 1, 2026 – Present
Developed a system to predict employee burnout risk using behavioral and workload data. Engineered features from working hours, sleep quality, and job satisfaction to improve prediction accuracy. Enabled early identification of at-risk employees through data-driven insights. Trained a Random Forest model with cross-validation and implemented explainability using feature importance. Deployed using FastAPI, Streamlit, and Docker for scalable usage.
View ProjectSmart City Problem Detector (NLP-Based)
June 1, 2026 – Present
Built an NLP-based system to classify civic issues from social media and public data sources. Applied text preprocessing, TF-IDF, and sentiment analysis to identify key complaint patterns. Enabled prioritization of issues using a scoring mechanism based on severity and frequency. Generated insights to support efficient decision-making for civic authorities.
View ProjectData Science Essentials with Python
Cisco
June 1, 2026 – Present
Complete SQL and Databases Bootcamp
Udemy
June 1, 2026 – Present
Generative AI Fluency
FutureSkills Prime
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a good breadth of interests with projects spanning employee burnout prediction, smart city problem detection, and industrial quality prediction. The combination of technical internships and personal projects, along with certifications, suggests a proactive learning attitude. The target role of Data Science aligns well with the candidate's academic background and project experience. However, the experience level is entry-level, which might require mentorship within a senior team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse problems and translate data into actionable insights. The internship at WebMobi360 suggests collaboration with data science and engineering teams, indicating potential for teamwork. However, without specific assessment data on soft skills, a comprehensive evaluation of operational fit is limited.