Data Science with less than a year in EDA, predictive modeling, and statistical analysis.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst skilled in Python, SQL, machine learning, and data visualization. Experienced in exploratory data analysis (EDA), predictive modeling, and statistical analysis to derive actionable business insights. Built analytics projects in retail forecasting, NLP-based text analytics, and cybersecurity log analysis using Pandas, Scikit-learn, and SQL.
Malla Reddy College of Engineering & Technology, Hyderabad
B.Tech · Artificial Intelligence & Machine Learning
August 1, 2022 – Present
Bhashyam E/M High School (BSE)
SSC
N/A – May 31, 2020
AICTE & Edunet Foundation
Data Analytics Intern (Cyber Security)
January 1, 2024 – Present
India
Inventory Optimizer - Predictive Analytics for Retail Sales
June 1, 2026 – Present
Analyzed the BigMart retail dataset, applying correlation analysis, missing-value treatment, and categorical encoding to uncover key revenue drivers and inventory planning patterns. Trained and cross-validated XGBoost and Random Forest regressors, improving RMSE performance, and delivered a feature-importance dashboard to business stakeholders.
Content Insights - YouTube Transcript Summarizer & Analytics
June 1, 2026 – Present
Used the YouTube Data API to extract transcripts at scale and applied tokenization and frequency analysis to surface key topics and generate concise summaries. Built a Flask application enabling one-click URL-to-summary conversion, reducing manual content review time through automated transcript summarization.
Network Log Analytics — Cyber Security Data Analysis
June 1, 2026 – Present
Parsed raw logs into structured tables and performed time-series anomaly analysis using Seaborn heatmaps and Matplotlib charts to prioritize incidents faster. Wrote GROUP BY and window-function queries to produce weekly summary statistics and top-offender reports.
AWS Machine Learning
AWS Academy
June 1, 2026 – Present
IBM Full Stack Developer Certification
IBM SkillsBuild
June 1, 2026 – Present
CCNA: Introduction to Networks
Cisco
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (retail, content, cybersecurity) and continuous learning through certifications (AWS ML, IBM Full Stack, CCNA) suggest a strong drive for growth and adaptability, which aligns well with a dynamic work environment. The focus on practical applications in projects indicates a results-oriented mindset. The target role of Data Science is well-aligned with the candidate's education and project experience.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying technical skills through diverse projects. The project descriptions indicate an ability to translate technical work into business value (e.g., improving RMSE, reducing manual review time). The internship experience suggests an ability to work in a professional setting and contribute to data-driven reporting. However, without direct assessment data on communication or teamwork, these aspects are inferred from project descriptions.