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Data Analyst with less than a year in data analysis, machine learning, and web development.
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MCA graduate with strong expertise in data analysis, machine learning, SQL, and business intelligence tools. Experienced in building AI-driven systems, predictive analytics models, and interactive dashboards to solve real-world business problems. Skilled in extracting insights from structured and unstructured data using Python, SQL, Power BI, and machine learning techniques. Proven ability to work with cross-functional teams, analyze customer and operational data, and develop data-driven solutions that improve decision-making and business performance. Passionate about transforming raw data into actionable insights and continuously learning emerging analytics technologies.
Kristu Jayanti College
Master of Computer Applications (MCA)
August 1, 2024 – June 30, 2026
Kristu Jayanti College
Bachelor of Computer Applications (BCA)
August 1, 2021 – June 30, 2024
Chargr.tech
Software Developer Intern
March 1, 2026 – May 31, 2026
Bengaluru, Karnataka, India
Internpe
Web Development Intern
June 1, 2023 – July 31, 2023
Jaipur, Rajasthan, India
AI-Based Job Recommendation System
June 1, 2026 – June 1, 2026
Developed an AI-powered recommendation system that suggests suitable job roles based on uploaded resumes and skill analysis. Implemented Natural Language Processing techniques using TF-IDF and BERT for resume parsing and skill extraction. Built machine learning models to improve recommendation accuracy and relevance. Created backend APIs for integrating recommendation logic with web applications.
Customer Churn Prediction System
June 1, 2026 – June 1, 2026
Built predictive models to identify customers likely to discontinue services using historical customer data. Performed data cleaning, preprocessing, feature engineering, and exploratory data analysis. Developed Power BI dashboards to visualize churn trends, customer behavior, and retention insights. Suggested data-driven retention strategies to improve customer engagement and reduce churn.
Event RSVP Management System
June 1, 2026 – June 1, 2026
Designed and developed an RSVP management platform for handling event registrations and attendee tracking. Integrated automated email notifications and QR code-based event entry features. Created analytics dashboards to monitor attendee participation, event statistics, and engagement metrics. Managed SQL Server databases and optimized queries for efficient data handling.
AI Chatbot for Customer Support
June 1, 2026 – June 1, 2026
Developed an AI-powered chatbot capable of answering FAQs and handling customer support queries. Used Natural Language Processing techniques to improve intent recognition and response quality. Integrated chatbot functionality into web-based platforms for real-time interaction. Improved customer support efficiency through automated query resolution.
Inventory Management System with Forecasting
June 1, 2026 – June 1, 2026
Developed an inventory tracking and forecasting system to monitor stock levels and predict product demand. Applied data analysis and forecasting techniques to identify inventory trends and optimize stock management. Built interactive dashboards to visualize inventory status, demand predictions, and low-stock alerts. Improved operational efficiency through automated inventory monitoring and reporting.
Data Analytics & Machine Learning Fundamentals
Self-Learning Projects & Practical Implementation
June 1, 2026 – Present
Oracle Certified Professional
Oracle
January 1, 2025 – Present
Google Cloud Fundamentals
January 1, 2025 – Present
SQL Technical Training
Industry professionals
January 1, 2024 – Present
Microsoft Certified: Azure Fundamentals (AZ-900)
Microsoft
January 1, 2024 – Present
Programming with Java & Unix/Linux Fundamentals
Infosys Springboard
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in diverse applications of data analysis and AI, from job recommendations to customer churn prediction and inventory management. Their pursuit of multiple certifications and continuous learning aligns with a growth-oriented culture. The stated soft skills, particularly 'Team Collaboration' and 'Inclusion & Diversity', suggest a candidate who values working effectively with others and contributing positively to a diverse team environment. However, the experience is primarily academic and internship-based, which might require some adjustment to a fast-paced corporate culture.
Soft Skills & Operational Fit
The candidate highlights soft skills such as Customer Service Excellence, Team Collaboration, Fast-Paced Multitasking, Continuous Learning, Professionalism & Integrity, and Inclusion & Diversity. These indicate a proactive, team-oriented individual who is committed to professional growth and effective collaboration, which are valuable for operational fit in a data-driven environment.