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Data Science with 2+ years in Data Operations, transitioning into Data Analytics with strong SQL, an
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Assessing your cultural and operational fit
Dedicated professional with 2 years of experience in mapping/data operations, transitioning into Data Analytics with strong SQL, analytical, and problem-solving skills. Hands-on knowledge in data analysis, reporting, data quality validation, and working with structured datasets using SQL and Excel. Passionate about leveraging data-driven insights and continuously developing expertise in analytics, enterprise data management, and business technology solutions.
MVR College of Engineering & Technology
Bachelor of Technology · ECE
January 1, 2019 – January 1, 2023
VJ Junior College
Senior Secondary · Class XII
January 1, 2017 – January 1, 2019
Cognizant Technology Solutions
Process Executive – Data Operations
April 1, 2024 – April 1, 2026
Hyderābād, Telangana, India
Retail Sales Data Analysis using SQL and Excel
January 1, 2026 – Present
Analyzed retail sales data to identify customer purchase behavior, sales trends, top-performing products, and revenue insights using SQL queries and Excel reporting techniques. Cleaned and validated raw sales data by handling duplicate and missing records. Used SQL joins, aggregate functions, subqueries, and window functions for analysis. Generated monthly and category-wise sales performance reports. Identified top-selling products and high-revenue customer segments.
SQL Hackerrank_Challenges
Unknown
June 1, 2026 – Present
GenAI Powered Data Analytics
Forage (TATA)
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity is limited to one personal project focused on retail sales data. Their professional experience as a Process Executive in Data Operations aligns well with the foundational aspects of data handling, quality, and processing, which are critical for a Data Science role. The breadth of skills includes SQL, Excel, and basic data dashboard concepts, along with soft skills like analytical thinking and collaboration. While the experience is relevant, the overall breadth of exposure to diverse data science methodologies and tools (e.g., programming languages like Python/R, machine learning, statistical modeling) is currently narrow, suggesting a foundational but not yet comprehensive cultural fit for a senior Data Science role without further development.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, attention to detail, and problem-solving skills, which are essential for data operations and analytics. Their experience in cross-functional collaboration and process improvement indicates a good operational fit for roles requiring teamwork and continuous improvement. The self-starter mindset is also a positive indicator for proactive engagement.