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Data Analyst with 1+ years in SQL, Power BI & Python
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Results-driven Data Analyst with 1.2+ years of hands-on experience querying, validating, and reporting on large operational datasets using SQL, Power BI, and Excel. Proven ability to design end-to-end data pipelines, build automated reporting solutions, and deliver actionable insights to business stakeholders. Skilled at translating complex data into clear visualisations that drive strategic decision-making. B.Com (Computer Applications) graduate with certifications in Power BI, Excel, and SQL.
NSV Degree College, Jagtial
B.Com · Computer Applications
August 1, 2021 – June 30, 2024
Cognizant Technology Solutions
Process Executive - Data
January 1, 2025 – Present
India
Sales Intelligence Dashboard
January 1, 2025 – January 1, 2025
Designed and delivered an end-to-end interactive sales intelligence dashboard for Samsung Electronics product lines, spanning data ingestion, SQL transformation, Power BI visualisation, and automated reporting - directly supporting commercial decision-making and regional performance tracking. Ingested and preprocessed multi-source sales & operational data, resolving regional inconsistencies and ensuring data integrity. Built a multi-page interactive Power BI dashboard visualising product performance, regional sales distribution, and YoY growth. Developed DAX measures and Power Query transformations deriving KPIs (revenue share, growth rate, category performance). Wrote and optimised SQL queries to extract and transform product-level transaction data for reporting. Maintained automated Excel workbooks (XLOOKUP, SUMIF, Pivot Tables), significantly reducing manual reporting time. Conducted root cause analysis on data discrepancies and applied corrective actions to ensure reporting accuracy. Automated recurring workflows via Python (Pandas) scripts — eliminated manual errors and saved team hours each cycle. Delivered reconciled outputs and exception summaries supporting strategic planning for senior stakeholders.
Zomato Restaurant Analytics Dashboard
January 1, 2024 – January 1, 2024
Built an end-to-end restaurant analytics dashboard on a dataset of 9,000+ Zomato restaurant records spanning multiple cities — covering cuisine type, pricing, ratings, votes, online delivery, and table booking attributes — to surface business insights for operational and strategic decision-making. Cleaned and validated raw restaurant data in Excel — handled nulls, standardised data types, and resolved inconsistencies across city and cuisine fields. Wrote SQL queries to extract and aggregate insights on top-rated cuisines, city-wise restaurant density, delivery adoption trends, and price-range distribution. Built an interactive Power BI dashboard with slicers for city, cuisine, and price range; KPI cards for average rating and cost; bar and donut charts for cuisine share and online delivery adoption rates. Designed Tableau geo-visualisations mapping restaurant density by locality and scatter plots correlating cost-for-two against customer ratings. Identified that online delivery was available in only ~25% of listed restaurants, providing a clear gap analysis opportunity for business expansion.
Microsoft Power BI Data Analyst
Udemy Certified
June 1, 2026 – Present
Advanced Excel
Udemy Certified
June 1, 2026 – Present
SQL for Data Analysis
Udemy Certified
June 1, 2026 – Present
Java Programming Fundamentals
Udemy Certified
June 1, 2026 – Present
Commended by stakeholders for delivering actionable insights that facilitated strategic planning and resource allocation
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including sales intelligence and restaurant analytics, shows adaptability to different business domains. The role at Cognizant Technology Solutions aligns well with a Data Analyst position, focusing on core data analysis responsibilities. The breadth of skills across SQL, Power BI, Excel, Python, and Tableau indicates a willingness to learn and apply various tools, which is positive for cultural fit in a dynamic environment. However, the limited professional experience (starting Jan 2025) and academic background (B.Com) might suggest a need for further development in more complex, strategic data initiatives typical for senior roles.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through root cause analysis and data discrepancy resolution. Their experience in collaborating with various teams (Operations, Finance, Sales) for requirements gathering indicates good teamwork and communication. The automation of workflows using Python and Excel suggests an efficiency-driven mindset. The candidate's ability to translate complex data into clear visualizations and stories for senior stakeholders points to effective communication of insights.