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Data Science with less than a year in Python-based data analysis & 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
Computer Engineering graduate (2025) with a strong foundation in Python-based data analysis and hands-on practice with Pandas, NumPy, SQL, Power BI, and Advanced Excel. Currently learning machine learning concepts and applying analytical techniques through academic projects. Seeking an entry-level role in Data Analytics / Data Science to build a career in data-driven problem solving.
Cummins College of Engineering
Bachelor of Computer Engineering · Computer Engineering
August 1, 2021 – June 30, 2025
Unknown
HSC
N/A – Present
Unknown
SSC
N/A – Present
V Kumar Solutions (I) Pvt. Ltd.
Industrial Project / Data Science Intern
December 1, 2025 – Present
Pune, Maharashtra, India
Hotel Review Sentiment Analysis
June 24, 2026 – Present
Built a machine learning model to classify hotel reviews as positive or negative. Applied NLP preprocessing and text vectorization (CountVectorizer). Trained Multinomial Naive Bayes classifier. Deployed the model using Streamlit for real-time predictions.
Resume Quest - AI Resume & Interview Question Generator
June 24, 2026 – Present
Developed an AI-based system to automate resume creation. Generated personalized interview questions using NLP. Extracted and analyzed data from PDF resumes.
Cultural Fit Analysis
The candidate's academic projects show initiative and a proactive approach to learning and applying data science concepts. The ongoing internship indicates a desire for practical, industry-level experience. The listed soft skills suggest a collaborative and adaptable individual. The focus on data-driven problem-solving aligns well with a data science culture. However, the experience is primarily academic and entry-level, which might require more mentorship in a fast-paced industry environment.
Soft Skills & Operational Fit
The candidate lists analytical thinking, problem-solving, team collaboration, communication, and being a quick learner as soft skills. These are generally well-aligned with a data science role, which requires strong analytical capabilities and the ability to communicate findings effectively. The academic projects demonstrate problem-solving and application of learned concepts.