Harsha Vardhan Korlepara
*****************@*****.*** — +91-934******* — GitHub — LinkedIn
Summary
Computer Science undergraduate with strong analytical, reporting, and data processing skills. Experienced in building dashboards, automation workflows, machine learning pipelines, and scalable Python-based analytical systems. Comfortable working with structured datasets, SQL querying, backend workflows, reporting systems, and business intelligence tools with a strong problem-solving mindset.
Education
Indian Institute of Information Technology, Sri City Andhra Pradesh B.Tech in Computer Science and Engineering 2022–2026 Experience
Data Analyst Intern, iStudio June 2025 – Dec 2025
• Collected, cleaned, and analyzed structured datasets to extract meaningful insights and support business decision-making.
• Used Python, SQL, and Excel for data preprocessing, visualization, reporting, and analytical workflows.
• Built dashboards and generated reports that improved operational visibility and data-driven decision-making efficiency.
• Applied statistical analysis and basic machine learning techniques to identify trends, patterns, and actionable business insights.
• Worked with large-scale datasets and automated reporting workflows, improving analysis efficiency by 35%. Projects
BlinkIT Sales Analytics Dashboard Power BI, SQL, Excel
• Built interactive business intelligence dashboards analyzing 10K+ sales records with KPI tracking and operational reporting workflows.
• Developed SQL-based data cleaning and preprocessing pipelines, improving reporting efficiency by 40%.
• Designed analytical dashboards and visualizations that helped identify sales trends, customer behavior, and revenue insights.
IPL Analysis and Prediction Python, Machine Learning
• Built predictive analytics pipelines using historical IPL datasets containing 15+ seasons and 1000+ match records.
• Performed preprocessing, feature engineering, and statistical analysis, improving prediction performance by 20%.
• Developed machine learning models and visualization workflows achieving 85% match outcome prediction accuracy. Network Intrusion Detection using ML & DL Python, ML, Deep Learning
• Built machine learning and deep learning models for detecting malicious network traffic with 96% classification accuracy.
• Developed scalable preprocessing and feature engineering pipelines handling 50K+ network traffic records efficiently.
• Improved anomaly detection and threat classification performance through model optimization and analytical workflows. EEG-Based Brain Disease Classification Python, Deep Learning
• Built EEG signal-processing and classification pipelines for Alzheimer’s Disease and Frontotemporal Dementia detection using 88-subject datasets.
• Applied preprocessing workflows including FFT, PCA, ICA, and Continuous Wavelet Transform (CWT) for feature extraction and signal enhancement.
• Developed deep learning classification workflows achieving 93% classification accuracy on biomedical EEG datasets. Technical Skills
Languages: Python, SQL, JavaScript, Java
Data Analysis: Power BI, Excel, Pivot Tables, KPI Reporting, Data Visualization Python Libraries: Pandas, NumPy, Matplotlib, Scikit-learn Databases: MySQL, MongoDB
Backend: REST APIs, Node.js, Express.js
Automation: Python Automation Scripts, Workflow Automation, Data Pipelines Tools: Git, GitHub, VS Code, Linux, Postman
Additional Exposure: Dashboard Systems, Reporting Workflows, Business Analytics, Data Cleaning Strengths
• Strong analytical and problem-solving mindset with focus on data-driven decision making.
• Comfortable working with structured datasets, reporting systems, and business analytics workflows.
• Effective communication and collaboration skills in technical environments. Achievements
• Built and deployed multiple analytical dashboards and machine learning applications independently.
• Solved 300+ Data Structures and Algorithms problems across coding platforms.
• Hands-on experience with dashboards, SQL workflows, automation systems, and data visualization.