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Data Science with less than a year in AI/ML & Data Analysis
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Assessing your cultural and operational fit
Final-year Artificial Intelligence and Data Science student targeting Data Analyst, AI/ML, and entry-level Data Science roles. Strong hands-on experience in SQL, Python, EDA, dashboarding, machine learning, and NLP, with project work on large datasets, predictive modeling, feature engineering, and business-focused insight generation.
Datta Meghe College of Engineering, Navi Mumbai
B.E. · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
K.T.H.M. College, Nashik
Higher Secondary Certificate · Science
June 1, 2020 – May 31, 2022
Pethe Madhyamic Vidyalaya, Nashik
Secondary School Certificate
N/A – May 31, 2020
AICTE EduSkill Virtual Internship
Artificial Intelligence & Machine Learning Intern
July 1, 2024 – September 1, 2024
India
GREIN - Carbon-Aware AI Scheduler
January 1, 2026 – Present
Developed a carbon-aware scheduler for AI workloads using real-time and forecasted carbon intensity, reducing estimated emissions by 15-30%. Designed WAIT vs SWITCH decision logic for time- and region-aware workload optimization. Implemented checkpoint-based pause/resume support for long-running ML jobs and built a dashboard to track job status, carbon savings, and regional trends.
Customer Churn Prediction System
January 1, 2025 – Present
Built a churn prediction pipeline to identify high-risk customers using EDA, feature engineering, and class imbalance handling. Improved model usefulness by achieving 87% recall and deployed the solution as a Streamlit app for real-time prediction.
Amazon Review Sentiment Analysis
January 1, 2024 – Present
Processed 500,000+ reviews and performed NLP-driven sentiment analysis to extract actionable customer insight from large-scale text data. Trained a Logistic Regression model with 93% accuracy and deployed a web app for real-time predictions.
ColaHacks 2026
Don Bosco Institute of Technology
January 1, 2026 – Present
Introduction to SQL
Kaggle
January 1, 2025 – Present
Data Analytics Virtual Experience
Deloitte (Forage)
January 1, 2025 – Present
HackHive 2025
Datta Meghe College of Engineering
January 1, 2025 – Present
Career Essentials in Generative AI
Microsoft & LinkedIn
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in diverse applications of Data Science, from customer churn prediction to carbon-aware AI scheduling and sentiment analysis. Participation in hackathons like HackHive and ColaHacks suggests a collaborative spirit and a proactive approach to learning and problem-solving. The focus on 'responsible AI' in the internship also aligns with ethical considerations in modern tech environments. The breadth of skills and project diversity indicate a willingness to explore different domains within Data Science, which is a positive cultural fit for dynamic teams.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving, adaptability, and teamwork, which are crucial for operational fit. The GREIN project demonstrates an understanding of real-world constraints (carbon intensity) and system design considerations (WAIT vs SWITCH logic, checkpointing). The deployment of Streamlit apps shows an inclination towards delivering tangible solutions. However, the experience is primarily academic, and the internship is virtual, so practical operational experience in a corporate setting is limited.