About Me
Results-driven Data Analyst with hands-on project experience in PowerBI, SQL Server, and Python across the full analytics workflow. Proficient in data cleaning, star-schema modeling, DAX development, and building clear KPI dashboards that translate complex data into actionable business insights. Experienced in ETL processes, data warehousing concepts, and delivering interactive reports for stakeholders. Seeking a data analyst role to apply strong analytical and visualization skills in a business-focused environment.
Skills & Technologies
Work Experience
PowerBI Job Simulation
Created client-style PowerBI dashboards based on business requirements, presenting insights clearly to stakeholders. Identified HR-related KPIs and visualized gender-balance metrics to support leadership decisions on diversity, equity, and inclusion.
Data Visualisation Job Simulation
Built business-focused dashboards translating complex data trends into meaningful visuals aligned with client presentation standards. Practiced structured data storytelling and insight communication matched to stakeholder needs.
Projects
EV Ride-Sharing Analytics Dashboard
Designed an end-to-end analytics solution by cleaning, modeling, and visualizing EV ride-sharing data using Python, SQL Server, and PowerBI, processing 5,000 rides, 2,000 customers, and 300 drivers and vehicles. Built a star-schema data model for scalable reporting and delivered an 8-page interactive dashboard covering customer behavior, driver performance, fleet usage, charging station uptime, and revenue trends with engineered DAX measures like monthly rides and utilization rate.
Retail AB Sales Performance Analysis
Built a sales performance dashboard using SQL Server for data preparation and PowerBI for visualization. Created DAX calculations for year-over-year growth, profit margin trends, and comparisons to identify top-performing regions and product lines, helping business stakeholders identify underperforming areas and support data-driven product and regional strategy decisions.
AI Tools Usage by Indian College Students
Analyzed Kaggle survey data to understand AI tool adoption among Indian college students, including usage frequency, awareness levels, and demographics. Cleaned and reshaped data with PowerQuery, designing visuals highlighting adoption patterns across age, gender, and institution types, providing key behavioral insights for education technology stakeholders.
Education
Master of Computer Applications
Computer Applications
Bachelor of Science
Computer Science