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Data Analyst with 1+ years in Power BI, Python, and SQL for Business Intelligence
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Results-driven Data Analyst with hands-on experience in end-to-end data analysis, dashboard development, workflow automation, and business intelligence reporting. Proficient in Python (Pandas, NumPy, Scikit-learn, NLP), SQL, Power BI (DAX), and Microsoft Power Platform (Power Apps, Power Automate, SharePoint). Proven ability to transform complex datasets into actionable insights that drive operational efficiency and support strategic decision-making. Experienced in KPI tracking, predictive analytics, sentiment analysis, and process automation across renewable energy and enterprise environments. Adept at communicating data findings clearly to both technical and non-technical stakeholders.
Loyola-ICAM College of Engineering and Technology (LICET)
B.E. · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Everrenew Energy Pvt. Ltd.
Engineer - Data Analytics & Reporting
August 1, 2025 – Present
India
DataSoftixs
Data Science Intern
January 1, 2025 – February 1, 2025
India
Laxmi Life Sciences Pvt. Ltd. (LMW Group)
IT & Data Intern
July 1, 2024 – August 1, 2024
India
Automated Insurance Claims Management System
August 1, 2025 – June 1, 2026
Designed and developed an end-to-end automated Insurance Claims Management System using Microsoft Power Platform to replace manual and fragmented claim handling workflows. Integrated Power Apps, Power Automate, Microsoft Forms, SharePoint, Microsoft Planner, and Power BI into a unified workflow automation system. Built Power Apps interfaces for incident reporting and loss report submission with mandatory field validation, mobile responsiveness, and automated incident ID generation. Developed automated Power Automate workflows for incident registration, task creation, notifications, document validation, rejection or resubmission cycles, and list to Power BI data synchronization. Configured SharePoint as a centralized data repository with structured lists, document libraries, role-based access control, and audit tracking. Created interactive Power BI dashboards for real-time monitoring of claim status, task completion, pending approvals, and operational bottlenecks. Conducted functional testing and UAT with stakeholders to validate workflow accuracy, usability, and system reliability.
SCADA Solar Plant Performance Monitoring & Fault Analytics
August 1, 2025 – June 1, 2026
Analyzed real-time and historical SCADA data from solar plants to track KPIs including Performance Ratio (PR), Capacity Utilization Factor (CUF), Energy Yield, Inverter Efficiency, and Plant Availability. Performed data preprocessing handling missing timestamps, communication gaps, and inconsistent intervals using Python, SQL, and Excel. Identified underperforming inverters by comparing generation trends under equivalent irradiance conditions, enabling targeted O&M interventions. Conducted alarm analytics on SCADA logs; categorized recurring faults including inverter trips, grid failures, over-temperature alarms, and communication loss events. Built interactive Power BI dashboards for real-time generation monitoring, inverter status tracking, fault trends, and downtime analysis.
Wind SCADA Alarm Management & Predictive Maintenance Analysis
August 1, 2025 – June 1, 2026
Analyzed thousands of daily SCADA alarm and event logs from wind and solar assets to identify recurring fault patterns and high-risk equipment, reducing unplanned downtime. Categorized alarms into critical, warning, communication, grid related, and equipment fault types; performed frequency analysis to prioritize alarms by severity and generation loss impact. Performed downtime correlation analysis to map specific alarm types to generation losses and repeated outage events across wind and solar plant assets. Conducted operational trend analysis on inverter temperature, voltage fluctuations, irradiance variations, and load behavior to surface early indicators of equipment failure. Generated predictive maintenance insights enabling the maintenance team to proactively address high-risk equipment before critical failures occurred shifting from reactive to data-driven preventive maintenance. Developed Power BI dashboards to monitor alarm frequency, downtime trends, fault severity, equipment reliability KPIs, and maintenance performance metrics.
Employee Training & Development Analysis
March 1, 2024 – June 1, 2024
Analyzed employee training effectiveness using survey data collected from 109 employees. Used Excel and Python for data cleaning, processing, and exploratory data analysis. Created dashboards and visual reports in Power BI and Tableau to identify trends in employee satisfaction, productivity, and training impact. Interpreted data findings to support business insights and process improvement recommendations.
CISCO Networking Essentials
Cisco
March 1, 2023 – Present
Google Cloud Computing Foundations (GCCF)
Google Cloud
February 1, 2023 – Present
Red Hat Certified System Administrator (RHCSA)
Red Hat
December 1, 2022 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from renewable energy performance monitoring to insurance claims management and HR analytics, indicates adaptability and a broad interest in applying data analysis across different domains. Their involvement in college activities and certifications in various technical areas (Red Hat, Google Cloud, Cisco) suggest a proactive learning attitude and a willingness to engage beyond core academic requirements. The target role of Data Analyst aligns well with their demonstrated skills and project experience.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and cross-functional collaboration skills through their project descriptions and professional experience. Their involvement in leadership activities like Treasurer and Student Coordinator also indicates good communication and planning abilities. The focus on automating reporting and data workflows suggests an operational mindset geared towards efficiency.