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Data Science with less than a year in data analysis, machine learning & web development.
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Analytical MCA candidate with hands-on experience using Python, SQL, and BI tools to translate complex datasets into actionable insights. Proficient in exploratory data analysis (EDA), database query optimization, and building interactive dashboard interfaces. Proven track record of leveraging data-driven logic to solve real-world problems and support business decision-making
Kristu Jayanti College Autonomous
Master of Computer Applications
August 1, 2023 – June 30, 2026
Kristu Jayanti College
Bachelor of Computer Application
August 1, 2021 – June 30, 2024
St.Annes Pre-University College For Girls
PUC · Karnataka State Board
June 1, 2019 – May 31, 2021
Jaigopal Garodia Rashtrotthana Vidyalaya
SSLC · Karnataka State Board
June 1, 2018 – May 31, 2019
Jeff's Group of Companies
Frontend Developer Intern
February 1, 2026 – May 1, 2026
India
Kristu Jayanti Software Development Centre
Backend Intern
June 1, 2025 – July 1, 2025
India
HostUp Cloud Technologies Pvt Ltd
Web Development
June 1, 2023 – July 1, 2023
India
NexSport - Enterprise ERP Reporting & Analytics Platform
June 23, 2026 – Present
Designed a role-based dashboard architecture indexing over 180+ unique paths to display role-specific metrics. Formulated data access models combining backend PostgreSQL queries with client-side Local Storage caching strategies. Programmed client-side reporting workflows allowing administrative roles to export raw data into PDF and Excel sheets.
Customer Churn Prediction System
June 23, 2026 – Present
Built ML models to predict customer churn with optimized feature selection. Conducted EDA and feature importance analysis to identify churn drivers. Deployed an interactive Streamlit dashboard for real-time predictions. Result: Enabled data-driven retention strategy insights.
Smart Shopping Assistant – AI Recommendation System
June 23, 2026 – Present
Designed an AI-powered product recommendation engine using category-based filtering. Implemented intelligent search and suggestion logic for enhanced user experience. Improved customer engagement through data-driven recommendations.
AI Resume Analyzer & Job Match System
June 23, 2026 – Present
Developed an AI-based resume screening system to analyze resumes against job descriptions. Applied NLP techniques for text extraction, preprocessing, and keyword matching. Calculated resume-job similarity scores and identified missing skill gaps. Enabled data-driven resume evaluation to support recruitment decision-making.
Microsoft Certified: Power Platform Fundamentals
Microsoft
January 1, 2025 – Present
Introduction to Data Analytics
Unknown
January 1, 2025 – Present
Predictive Analytics for Student Performance using Machine Learning
National Student Research Symposium
January 1, 2025 – Present
Google Cybersecurity Certificate
Coursera
January 1, 2024 – Present
SMS Fraud Detection using Machine Learning
International Conference on Computational Intelligence
January 1, 2024 – Present
Qlik Sense Business Analyst Qualification
Qlik
January 1, 2023 – Present
Celonis Rising Star – Technical
Celonis
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from AI recommendation systems to ERP reporting and churn prediction, shows a broad interest in applying data science across different domains. The academic projects demonstrate initiative and a proactive approach to learning and applying new technologies. However, the experience is primarily academic and internship-based, with limited exposure to complex, large-scale professional data science environments, which might require a period of adjustment to a fast-paced, senior-level corporate culture. The target role is Data Science, and the projects are well-aligned, but the professional experience leans more towards frontend/backend development rather than pure data science.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as time management, self-motivation, confidence, creativity, and quick learning. These attributes suggest a candidate who can adapt to new challenges and contribute positively to a team environment. The project descriptions indicate an ability to work on data-driven solutions, which aligns well with operational needs in a data science role.