Aksheya Gone
Professional Summary
Motivated B.Tech Computer Science student with a strong foundation in Electrical & Electronics Engineering and hands-on internships in data operations and power transmission. Skilled in Python-based data processing, machine learning, edge AI concepts, and data visualization. Proven ability to clean and structure data, derive operational insights, and design AI-driven product components (anti-fraud, edge inference). Seeking internship or entry-level roles in data science, machine learning engineering, or AI for edge/embedded systems where I can combine hardware understanding with software and model deployment.
Technical Skills
Work Experience
- Cleaned and preprocessed operational datasets using Python (Pandas) and SQL to standardize formats and ensure consistency for downstream analysis and model training.
- Conducted exploratory and statistical analysis to identify trends and operational bottlenecks, translating findings into actionable recommendations for operations teams.
- Designed and built interactive dashboards and visualizations in Power BI to surface KPIs and support data-driven decision-making by managers and stakeholders.
- Automated routine ETL tasks with Python scripts to reduce manual preprocessing time and improve data availability for analytics workflows.
- Documented data dictionaries, preprocessing steps, and standard operating procedures to improve data governance and reproducibility across the team.
- Collaborated with cross-functional stakeholders to define metrics, validate data sources, and prioritize analytics work that supported operational improvements.
- Monitored transmission network parameters and supported collection of electrical measurements to maintain grid visibility and support operations.
- Analyzed sensor and measurement data to identify anomalies and inform maintenance schedules and corrective actions.
- Assisted in documenting technical specifications, test procedures, and maintenance workflows to standardize operational processes.
- Produced technical reports and visual summaries of grid performance for engineering teams to support decision-making and troubleshooting.
- Coordinated with field engineers to gather operational data, validate findings, and support investigation of faults or abnormal events.
- Contributed to initiatives exploring localized data acquisition and monitoring (edge concepts) to improve response times and reduce central processing needs.
Education
Certifications
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