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Remote Data Entry Specialist Resume Title

Location:
Hyderabad, Telangana, India
Salary:
1000000 INR
Posted:
June 08, 2026

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Resume:

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.



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