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Data with 5+ years in Data Cleaning, Analysis, and Visualization
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Assessing your cultural and operational fit
Detail-oriented Data Analyst with strong expertise in data cleaning, analysis, and visualization. Skilled in transforming raw datasets into actionable insights using Advanced Excel, Power BI, and SQL. Hands-on experience in dashboard creation, KPI tracking, and trend analysis through real-world projects. Transitioning from an accounting background to data analytics, leveraging strong financial domain knowledge combined with analytical and data visualization skills to support data-driven decision-making.
VNSGU, Surat
Bachelor of Commerce in Accounting · Accounting
August 1, 2021 – June 30, 2021
Karma CPA LLP
Accounting Associate
January 1, 2025 – Present
India
Jainam Broking Ltd.
Professional Trader
January 1, 2024 – January 1, 2025
India
Sharda Textiles
Accountant
January 1, 2021 – January 1, 2024
India
CPI (Consumer Price Index) Data Analysis Project (Excel)
June 23, 2026 – Present
Extracted and performed data cleaning on raw CPI datasets, handling missing values through validation and deciding whether to impute or retain gaps based on analytical relevance. Conducted data transformation and preprocessing to prepare structured datasets for analysis. Utilized Advanced Excel, Pivot Tables, and formulas for efficient data exploration and structured analysis. Applied basic statistical techniques (Mean, Median, Interquartile Range) to understand data distribution and identify trends. Performed time-series analysis to track inflation trends and identify growth patterns over different periods. Analyzed category-wise contribution to CPI, identifying key drivers of inflation during specific timeframes. Solved analytical problem statements using data-driven and quantitative approaches. Designed interactive dashboards using Line, Bar, and Pie charts to effectively communicate insights. Delivered actionable insights on inflation trends, supporting better economic understanding and interpretation.
Logistics Dashboard & RTO Analysis (Power BI Project)
June 23, 2026 – Present
Designed and developed an interactive Logistics Dashboard using Power BI to support data-driven decision-making in logistics operations. Analyzed key business metrics including Total Orders, Total Order Value, Average RTO %, Successful Delivery %, and Net Profit over a defined period. Performed data cleaning, transformation, and modeling to prepare structured datasets for analysis and reporting. Conducted RTO (Return to Origin) analysis as the primary focus area to identify factors impacting failed deliveries. Explored whether high RTO rates were driven solely by courier performance or influenced by other variables such as location and payment type. Built a conditional analysis model to evaluate RTO risk based on Location, Payment Type (COD/Prepaid), and Courier Company. Identified patterns showing how COD orders and certain regions contributed to higher RTO percentages, enabling better operational decisions. Created dynamic visualizations including KPI cards, line charts, bar charts, and map visuals for clear data storytelling. Delivered actionable insights to help optimize courier selection, reduce RTO rates, and improve overall delivery performance.
NSE NISM Serie – 8 | Equity & Derivatives Certification (Score 75/100)
NSE
January 1, 2024 – Present
Pearson PTE Academic | English fluency test (Score 62/90)
Pearson
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's background in accounting transitioning into data analytics shows adaptability and a proactive approach to skill development. Their project diversity, covering CPI analysis and logistics, indicates a broad interest in applying data skills to different domains. The combination of financial domain knowledge with data analytics skills aligns well with roles requiring both business acumen and technical data capabilities. The academic projects, while valuable, suggest a need for more real-world, complex data challenges to fully assess cultural fit in a fast-paced, senior data role.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, attention to detail, and problem-solving skills through their project descriptions. Their experience in client communication and process improvement suggests good operational fit and a collaborative mindset. The mention of 'Eagerness to Learn' indicates a positive attitude towards growth and adaptability.