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Data Analyst with 1+ years in SQL, Python, Power BI & data visualization.
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Assessing your cultural and operational fit
Data Analyst skilled in SQL, Python, Power BI, Tableau, and Excel, with a strong background in operations and reporting. Expertise in data transformation, interactive dashboard development, and advanced data visualization. Passionate about leveraging clean data storytelling to uncover business insights and drive strategic, data-driven decisions.
YADAVA COLLEGE
BACHELOR OF ARTS · ENGLISH
N/A – June 30, 2020
Puthur Infotech (Client: ANZ)
AV and IT Support Engineer
November 1, 2025 – Present
Bengaluru, Karnataka, India
SII Group India
IT Support Engineer & Operations Specialist
July 1, 2024 – October 31, 2025
Bengaluru, Karnataka, India
IT Expenditure Analysis
June 20, 2026 – Present
Utilized Excel to analyze IT expenditure data across business areas, countries, and cost elements; conducted variance analysis among Actual, Forecast, and Planned expenditures, revealing spending trends and opportunities for cost optimization.
Coke Sales Performance Analysis
June 20, 2026 – Present
Cleaned and transformed nearly 4,000 sales records to ensure data accuracy; leveraged Excel Pivot Tables to analyze sales, operating profit, and margins by state and beverage brand, uncovering regional sales trends and identifying top-performing retailers.
ChatGPT Reviews Analysis
June 20, 2026 – Present
Evaluated over 190,000 customer reviews for sentiment distribution and satisfaction trends by processing unstructured text data, pinpointing frequently occurring negative keywords and key customer pain points.
Retail Sales Analysis Dashboard
May 1, 2026 – May 1, 2026
Developed an end-to-end interactive Power BI dashboard to analyze global e-commerce performance, customer behaviour, and profitability. Utilized advanced visualizations (Decomposition Trees, Key Influencers, and Waterfall charts) to identify the root causes of product returns and isolate key profit drivers across international markets. Mapped the customer journey through a conversion funnel and tracked dynamic sales trends using Ribbon and Combo charts, delivering actionable insights into campaign effectiveness and regional sales growth.
View ProjectFood Delivery Dashboard
April 1, 2026 – April 1, 2026
Analyzed food delivery performance using Power BI to transform raw delivery data into actionable insights. Applied data transformations to visualize critical metrics, including sales, delivery efficiency, customer demographics, and order types. Enhanced decision-making for the food delivery service by creating intuitive and meaningful reporting dashboards.
View ProjectFinance Analysis Dashboard
April 1, 2026 – April 1, 2026
Engineered a comprehensive financial analysis model focusing on customer demographics, loan portfolio performance, and financial risk metrics. Performed data cleaning and structured complex data models utilizing advanced DAX formulas and Excel (Pivot Tables, Slicers, KPI cards) to evaluate default risk and credit scores. Presented insights through dynamic visualizations, enabling stakeholders to effectively monitor loan performance and risk exposure to support data-driven lending decisions.
View ProjectFellowship in NextGen Data Analytics With AI
Crio.Do
June 1, 2026 – Present
The candidate scored 94%, indicating excellent understanding and proficiency in Data Scientist and Artificial Intelligence concepts.
Strengths
Limitations
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest and practical application in data analysis across diverse domains (e-commerce, finance, food delivery, IT expenditure, customer reviews). This diversity, coupled with a clear target role as a Data Analyst, indicates a good cultural fit for a data-centric organization that values practical problem-solving and business insight generation. The 'Fellowship in NextGen Data Analytics With AI' certification further aligns with a culture of continuous learning and staying current with industry trends. However, the transition from IT Support roles to a Data Analyst role suggests a career pivot, and their experience in IT support could bring a valuable operational perspective to data analysis tasks.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Analytical Thinking, Problem Solving, Presentation and Storytelling, Communication, Stakeholder Management, and Time Management. Their experience in IT Support roles, particularly in monitoring service delivery metrics and collaborating with technical teams, suggests an operational fit for roles requiring data-driven process improvement and stakeholder interaction. The psychometric test score of 271/500 (54.2%) indicates average performance in areas like logical reasoning, work attitude, stress handling, and team collaboration, which could be an area for development.
The candidate scored 100%, indicating mastery of Power BI and Microsoft Analytics concepts.
Strengths
Limitations
The candidate scored 23%, indicating a fundamental lack of proficiency in Python programming, algorithms, and related data analysis techniques.
Strengths
Limitations