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Entry-level Data Analyst with Generative AI and Machine Learning experience.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated fresher seeking a Data Analyst role to apply skills in Python, SQL, Power BI, and Excel for delivering actionable business insights. Backed by internship experience in ML model building, data preprocessing, and dashboard development, with added exposure to Generative AI tools (LangChain, RAG, LLMs) to bring intelligent automation alongside traditional analytics.
Malnad College of Engineering
B.E. · Electronics & Communication Engineering
August 1, 2022 – June 30, 2026
Masters PU College
PUC (Class XII)
June 1, 2020 – May 31, 2022
United High School
SSLC (Class X)
June 1, 2019 – May 31, 2020
Global Quest Technologies
Data Science & Generative AI Intern
January 1, 2026 – April 1, 2026
Bengaluru, Karnataka, India
Mobile Sales Intelligence Dashboard
June 24, 2026 – Present
Engineered a comprehensive, interactive Power BI dashboard to visualize mobile device sales across regions, product lines, and time horizons – enabling real-time KPI monitoring for stakeholders. Authored 15+ custom DAX measures and calculated columns to track revenue trends, units sold, MoM growth rates, and channel contribution, reducing manual reporting effort significantly. Implemented drill-through reports and dynamic slicers to support self-serve analytics for non-technical business users, modeling distributor and retailer-level supply chain insights.
View ProjectFake News Detection System
June 24, 2026 – Present
Architected a full NLP classification pipeline using TF-IDF vectorization and Logistic Regression, achieving 94-96% classification accuracy on a labeled news corpus. Handled complete ML lifecycle: EDA, text preprocessing (stopword removal, tokenization), model training, evaluation (precision/recall/F1), and model serialization via Pickle. Deployed a real-time, user-facing prediction interface using Streamlit, demonstrating the ability to take a model from notebook to production-ready web app end-to-end.
Cultural Fit Analysis
The candidate's academic projects and internship experience demonstrate a proactive learning attitude and a willingness to explore new technologies (e.g., Generative AI). The diversity of projects (sales intelligence, fake news detection) suggests adaptability and a broad interest in data applications. The focus on delivering actionable insights and deploying user-facing applications aligns with a results-oriented culture. However, as a fresher, the breadth of real-world team collaboration and diverse organizational exposure is limited.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving and team collaboration through project descriptions. The resume highlights communication and stakeholder reporting as soft skills, which are crucial for a Data Analyst role. The academic projects and internship show an ability to work on diverse tasks and deliver tangible results, indicating a good operational fit for roles requiring both analytical and development skills.