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Software Engineer with less than a year in ML & Data Analytics.
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Assessing your cultural and operational fit
B.Tech Computer Science graduate (Malla Reddy University, 2026 | CGPA: 8.91) with hands-on experience across 3 end-to-end projects in Python, SQL, MySQL, and data analytics - spanning 10,000+ record EDA, ML-driven anomaly detection, and database application development. Proficient in Power BI and Matplotlib for translating complex datasets into actionable insights. A fast learner with strong analytical thinking, structured problem-solving, and the ability to collaborate across technical and non-technical teams to deliver results.
Malla Reddy University
B.Tech · Computer Science
August 1, 2022 – June 30, 2026
Narayana Junior College
Class 12 · MPC
N/A – May 31, 2022
Sri Chaitanya School
Class 10 · SSC
N/A – May 31, 2020
Spotify Data Analysis in India
June 19, 2026 – Present
Performed EDA on 10,000+ Spotify records across multiple languages and regions, uncovering listening trends and user preferences to support data-driven insights. Segmented 10,000+ users into 5 city-level clusters using K-Means clustering, generating data-driven insights to support regional analytics across 15+ cities. Produced 8+ Matplotlib and Seaborn visualizations to present findings to non-technical stakeholders.
Parking Management System
June 19, 2026 – Present
Built a GUI-based slot booking application supporting 3 vehicle categories with real-time availability tracking across 50+ parking slots. Engineered a MySQL-backed system for user authentication, booking records, and dynamic pricing maintaining data integrity across concurrent sessions. Automated slot-allocation and pricing logic across 3 vehicle categories, eliminating 100% of manual operator assignments via rule-based scheduling.
Cyber Breach Detection & Incident Monitoring System
June 19, 2026 – Present
Architected an end-to-end security monitoring platform to analyze login behavior, file activity, and system logs for real-time cyber breach detection. Engineered anomaly-detection algorithms with 5-tier severity scoring to flag suspicious user activity outside working hours, reducing false-positive noise. Constructed log ingestion, storage, and visualization pipelines generating prioritized security alerts on an automated dashboard.
Data Visualisation: Empowering Business with Effective Insights
Forage
April 1, 2026 – Present
Agile Scrum Master
Simplilearn SkillUp
October 1, 2025 – Present
Data Analytics Job Simulation
Deloitte (Forage)
July 1, 2025 – Present
SQL and Relational Databases 101
IBM (Cognitive Class)
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in areas like parking management, cyber security, and data analysis, indicating adaptability and a broad learning appetite. The certifications in data visualization, SQL, data analytics, and Agile Scrum Master further highlight a proactive approach to skill development. This diversity suggests a good cultural fit for roles requiring continuous learning and exposure to varied technical challenges, though the lack of professional experience means team collaboration and workplace dynamics are unproven.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking, problem-solving, and communication skills through project descriptions. The Agile Scrum Master certification suggests an understanding of iterative delivery and cross-functional collaboration, which aligns with modern operational practices. However, without direct work experience, the practical application of these soft skills in a professional setting is yet to be validated.