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Data Analyst with less than a year in Data Analytics, Business Intelligence & Front-End Development
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Results-driven B.Sc. IT graduate specialising in Data Analytics, Business Intelligence, and Front-End Development. Proficient in transforming raw data into actionable insights through Excel dashboards, SQL queries, Power BI reports, and Python (Pandas). Hands-on experience as a Front-End Developer Intern, bridging the gap between data pipelines and user-facing applications. Adept at KPI tracking, trend analysis, and delivering stakeholder-ready dashboards that drive measurable business decisions. Seeking a full-time opportunity in Data Analytics or a related domain where technical skills and business acumen can create real impact.
Vidyalankar School of Information Technology
Bachelor of Science (B.Sc.) · Information Technology
N/A – June 30, 2025
Vivekanand Education Society's Institute of Technology
Higher Secondary Certificate (HSC) · Science
N/A – May 31, 2020
Vivekanand Education Society's Institute of Technology
Secondary School Certificate (SSC)
N/A – May 31, 2018
IT Planet Software Solution
Web Developer Intern
February 1, 2024 – May 1, 2024
Mumbai, Maharashtra, India
Online Retail Sales Dashboard
June 1, 2026 – Present
Developed an interactive retail sales dashboard using Microsoft Power BI to analyze sales trends and business performance. Cleaned and transformed raw data using Power Query for accurate reporting and analysis. Built data models and relationships to improve dashboard performance and reliability. Created KPIs for total sales, country-wise performance, and product-level analysis using DAX. Designed interactive visualizations, filters, and drill-down reports for better decision-making. Analyzed multi-country sales data and identified the United Kingdom as the top revenue contributor. Impact: Transformed raw retail transaction data into an interactive business dashboard, improving reporting accuracy, sales visibility, and decision-making efficiency.
E-Commerce Store Sales Dashboard
June 1, 2026 – Present
Designed a multi-page interactive Power BI dashboard providing a 360° view of retail performance across 5+ countries. Defined and tracked KPIs: Total Sales, Quantity Sold, Product Count, and Country-wise Sales Distribution using card visuals. Used Power Query for robust data cleaning, type transformation, and preparation - ensuring data quality before modelling. Authored DAX measures to calculate dynamic metrics: sales growth rates, product-level contribution, and time-intelligence comparisons. Implemented date hierarchy slicers (Year / Month / Day) enabling granular temporal filtering for stakeholders. Identified the United Kingdom as the highest revenue contributor and surfaced key products driving overall revenue growth. Impact: Delivered an executive-ready interactive dashboard replacing static reports - cutting analysis time and improving insight accessibility.
Google Foundations: Data, Data, Everywhere
June 1, 2026 – Present
Cisco Data Analytics Essentials
Cisco
June 1, 2026 – Present
TATA Data Visualization Certification
TATA
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects focus on practical, business-oriented data analysis, aligning well with roles requiring direct impact. Their interest in continuous learning, as evidenced by certifications and exploration of advanced DAX/Python, indicates a proactive and growth-oriented mindset. The web development internship, while not directly data analysis, shows versatility and an understanding of broader application contexts, which can be beneficial for cross-functional collaboration. The projects are diverse in terms of data analysis tasks (cleaning, modeling, visualization, KPI tracking) and demonstrate a clear alignment with a Data Analyst role.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking, problem-solving, and stakeholder communication skills through project descriptions. Their internship experience highlights participation in Agile sprints and peer code reviews, indicating comfort with iterative, team-based environments. The dual skill set in data analytics and web development suggests an ability to bridge gaps between data and engineering teams, which is a valuable operational fit.