Help & Supportcareers@gravityer.com
Data Analyst with less than a year in data analysis, visualization, and statistical methods.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented and motivated B.sc. Statistics graduate with strong foundation in data analysis, data visualizations and statistical methods. Proficient in Excel, Power BI, Tableau, SQL with basic knowledge of Python. Experienced in handling real-world datasets through academic projects involving data cleaning, exploratory data analysis, and dashboard creation. Eager to kickstart a career as a Data Analyst and contribute analytical thinking and a problem-solving mindset to a dynamic organization.
Pratibha College of Commerce and Computer Studies | Savitribai Phule Pune University
Bachelor of Science (B.sc.) · Statistics
January 1, 2023 – January 1, 2026
High cloud Airline – Performance Analytics Dashboard
June 1, 2025 – June 1, 2026
Performed time-series data modeling in excel to identify passenger trends and seasonal patterns across multiple flight routes. Developed an interactive Power BI dashboard tracking 5 core KPIs-Total Passengers, Load Factor%, Total Flights, Distance Travelled and passenger Trends. Designed dashboards with KPI cards, bar charts, pie charts and trend analysis visuals with interactive filters for dynamics exploration of airline performance metrics. Applied Load Factor % analysis to assess seat utilization efficiency, providing insights to optimize route profitability. Analyzed airline performance data for High Cloud Airlines using MySQL for relational data mapping, writing optimized SQL queries.
View ProjectIndian Telecom Market Analysis
June 1, 2025 – June 1, 2026
Built an end-to-end data analytics pipeline for Indian telecom sector from raw data ingestion to executive-level interactive dashboards using Excel and Tableau. Cleaned and consolidated rows of fragmented telecom data using Power Query ETL-standardizing date structures, resolving null values and fixing carrier naming inconsistencies. Engineered dynamic multi-dimensional Pivot Tables to calculate aggregated KPIs, state-wise hierarchies, and weighted averages across subscriber metrics. Developed dual dashboards in both Tableau and Excel tracking key industry KPIs- Total Active Subscribers, VLR%(network utilization), Wireless vs Wireline growth trends.
View ProjectCultural Fit Analysis
The candidate's academic projects showcase a proactive approach to applying learned skills to real-world scenarios. The diversity in project domains (airline performance, telecom market) indicates adaptability and a broad interest in data applications. The listed key competencies like 'Team collaboration' and 'Communication of Insights' suggest a candidate who values teamwork and effective dissemination of findings, which are positive indicators for cultural fit in a data-driven organization.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking, problem-solving, data storytelling, attention to detail, and team collaboration through project descriptions. These align well with the operational demands of a Data Analyst role, suggesting a good fit for collaborative and detail-oriented tasks.