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Data Science with less than a year in Machine Learning & Data Visualization.
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Results-driven Master of Computer Applications candidate specializing in Machine Learning, Data Analytics, and Data Visualization. Proven track record of analyzing 450,000+ records, building 95%+ accuracy predictive models, and deploying dynamic Power BI dashboards. Passionate about leveraging statistical analysis to solve complex business problems.
Andhra University College of Engineering (AU)
Master of Computer Applications (MCA)
August 1, 2024 – June 30, 2026
Gayatri Vidhya Parishad College
Bachelor of Science (MECS)
August 1, 2020 – June 30, 2023
Narayana Junior College
Intermediate Education (MPC)
June 1, 2018 – May 31, 2020
Sri Chaitanya Techno School
Secondary Education (Class X SSC)
June 1, 2017 – May 31, 2018
Data Pro
Full Stack Intern
June 1, 2024 – August 1, 2024
India
Cyber Threat Prediction and Assessment
February 1, 2026 – March 1, 2026
Engineered an unsupervised machine learning anomaly detection system on honeypot data, analyzing 450,000+ network records to identify malicious IP patterns and abnormal traffic behavior. Implemented K-Means and Gaussian Mixture Models (GMM) for clustering-based threat detection; applied PCA for dimensionality reduction and proactive attack pattern mapping. Evaluated model performance using Calinski-Harabasz and Davies-Bouldin Index metrics to ensure optimal threat clustering accuracy.
Revenue Sales Dashboard using Power BI
January 1, 2026 – February 1, 2026
Designed and deployed an interactive Power BI dashboard, processing and cleaning 100K+ records for continuous revenue analysis and business insights. Built 20+ intuitive visualizations including advanced charts and regional trend maps to support data-driven decision-making. Implemented forecasting models achieving 95% prediction accuracy for future revenue projections.
AWS Cloud Computing Foundations
AWS
June 1, 2026 – Present
Data Visualization with Power BI
Coursera
June 1, 2026 – Present
Oracle SQL Databases Specialization
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background and project work align well with a data science target role, demonstrating a clear interest and foundational skills in the domain. The diversity of projects, from revenue analysis to cyber threat prediction, indicates a broad interest in applying data science to different problem spaces. The certifications in AWS Cloud Computing, Data Visualization with Power BI, and Oracle SQL Databases show a proactive approach to skill development and a desire to stay current with industry tools. The full-stack internship, while not directly data science, shows versatility and a willingness to learn different technical areas, which can be a positive for cultural fit in dynamic environments.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a results-driven approach and a passion for solving business problems with statistical analysis. The academic projects demonstrate problem-solving skills and attention to detail in model evaluation. The full-stack intern experience, while not directly data science, shows an ability to contribute to development and improve operational efficiency, suggesting a practical and application-oriented mindset. The extracurricular activities suggest a well-rounded individual with potential for good team collaboration, though direct evidence of teamwork in technical projects is limited.