Data Analyst with less than a year in SQL, Python, and Power BI
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 with a strong foundation in SQL, Python, Excel, and Power BI. Skilled in cleaning, analyzing, and visualizing data to generate insights and support data-driven decision-making. Interested in collaborating on meaningful analytical work in fast-paced environments.
Sree Dattha Group of Institutions, JNTUH
B.Tech · Computer Science and Engineering (Cyber Security)
January 1, 2021 – January 1, 2025
Analytical space
Data Analyst Intern
August 1, 2025 – May 1, 2026
India
Hotel Analytics Project
June 1, 2026 – Present
Scraped and analyzed hotel data from booking platforms using Python, Selenium, Pandas, and Power BI. Performed data cleaning, transformation, and exploratory data analysis (EDA) on hotel pricing and customer review datasets. Built interactive Power BI dashboards to identify pricing trends, customer satisfaction patterns, and market insights.
Turbine Health Monitoring & Failure Forecasting
June 1, 2026 – Present
Built Machine Learning models using Random Forest, XGBoost, and Decision Trees for predictive maintenance. Conducted EDA, feature engineering, model evaluation, and failure prediction on 9,000+ turbine records. Deployed a Streamlit application for real-time turbine health monitoring and maintenance alerts.
Cloud Resource Allocation using MADRL-AHHO
June 1, 2026 – Present
Developed a CNN and Deep Reinforcement Learning-based cloud resource allocation model. Implemented Harris Hawks Optimization to improve VM allocation efficiency and resource utilization. Optimized cloud workload management while minimizing SLA violations and operational costs.
Retail Sales Analytics Project
June 1, 2026 – Present
Developed an end-to-end Retail Analytics solution using Python, SQL Server, and Power BI. Performed data cleaning, SQL analysis, KPI reporting, and business intelligence visualization. Created dashboards for sales performance, customer segmentation, product profitability, and return analysis.
Intrusion Detection in Cyber Security
June 1, 2026 – Present
Built ML-based IDS using Random Forest and Logistic Regression for cyber threat detection. Performed data preprocessing, feature engineering, and model evaluation using Precision, Recall, F1-Score, and Accuracy. Developed a Python GUI application for intrusion prediction and security analytics.
Training Completed in ExcellenC in Data Science
ExcellenC
June 1, 2026 – Present
Diploma in Data Science with Gen AI
Texas University
August 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from hotel analytics to turbine health monitoring and cyber security, demonstrates a broad interest in applying data analysis across different domains. The academic projects involving advanced ML and AI concepts suggest an inclination towards innovation and continuous learning. The target role of 'Data Analyst' aligns well with the candidate's stated skills and project experience, particularly in data cleaning, visualization, and generating business insights. The candidate's proactive approach to personal projects and certifications indicates a good cultural fit for a dynamic, data-driven environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end analytical solutions, from data collection to visualization and insight generation. The internship experience highlights practical application of skills in a business context, including KPI tracking and reducing manual reporting time. The diverse project portfolio suggests a proactive and self-driven individual. However, without specific psychometric test results, a detailed assessment of logical reasoning, work attitude, stress handling, and team collaboration is not possible.