Data Analyst with 1+ years in data analysis & business intelligence.
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Assessing your cultural and operational fit
Results-driven and detail-oriented Data Analyst with a strong foundation in data analysis, data visualization, and business intelligence. Proficient in Python, SQL, Microsoft Excel, and Power BI, with hands-on project experience in transforming complex datasets into actionable insights. Skilled in identifying trends, building interactive dashboards, and delivering data-driven recommendations that support strategic decision-making. Eager to contribute analytical expertise and technical skills in a dynamic, data-driven organization.
University of Mumbai
Bachelor of Science (B.Sc.) · Computer Science
N/A – June 30, 2025
Jnan Vikas Mandal's Mehta Degree College
Higher Secondary Certificate (HSC) · Science
N/A – May 31, 2022
Mahatma Gandhi Hindi High School, Airoli
Secondary School Certificate (SSC)
N/A – May 31, 2020
Employee Database Management System
June 21, 2026 – Present
Architected a normalized relational database system to manage end-to-end employee lifecycle and project management workflows. Developed 15+ optimized SQL queries incorporating JOINS, CASE statements, subqueries, and window functions for comprehensive workforce reporting. Created reusable SQL views enabling automated, department-wise salary tracking and streamlined HR reporting.
Customer Shopping Behaviour Analysis
June 21, 2026 – Present
Analyzed 3,900+ transactional records to uncover customer purchasing patterns, revenue trends, and segment-level behavioral insights. Engineered advanced SQL queries utilizing JOINs, subqueries, and window functions to conduct customer retention and revenue performance analysis. Developed interactive Power BI dashboards enabling real-time KPI tracking and executive stakeholder reporting. Delivered data-driven strategic recommendations focused on improving customer retention rates and accelerating subscription growth.
Sales Data Analysis Dashboard
June 21, 2026 – Present
Analyzed multi-region sales datasets to identify revenue trends, seasonal patterns, and category-level performance insights. Designed interactive Power BI dashboards with KPI visuals and drill-through analysis, enabling data-driven sales strategy decisions. Automated reporting workflows, reducing manual reporting effort by 25% and improving operational efficiency.
Big Data Analytics
IBM SkillsBuild & openHPI
June 1, 2026 – Present
Introduction to MS Excel
Microsoft x Simplilearn SkillUP
June 1, 2026 – Present
Data Analytics Certification
S.IT. Computer Software Training Institute
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data analysis techniques across different business scenarios (customer behavior, employee management, sales). The certifications indicate a commitment to continuous learning in data analytics and related fields. The breadth of tools and techniques used (Python, SQL, Power BI, Excel) suggests adaptability and a willingness to explore various solutions, which generally contributes positively to cultural fit in a dynamic data team. However, the lack of professional experience means the candidate's ability to navigate real-world team dynamics and corporate culture is unproven.
Soft Skills & Operational Fit
The candidate highlights soft skills such as Analytical Thinking, Problem Solving, Communication, Attention to Detail, Stakeholder Communication, and Data Storytelling. Project descriptions indicate an ability to translate data into actionable insights and communicate findings to stakeholders, which aligns with operational needs for a Data Analyst role. However, without specific assessment scores for these, it's difficult to fully validate the depth of these skills.