About
Data Analyst with 3+ years of experience in SQL, Python (Pandas, NumPy), Power BI, DAX, ETL, PySpark, and Snowflake specializing in data visualization, predictive analytics, and business intelligence. Proven expertise in optimizing SQL queries and ETL pipelines, improving data retrieval efficiency by up to 25% for large-scale, multi-regional datasets. Skilled in designing and deploying interactive Power BI dashboards, enhancing real-time reporting accuracy by 20% and enabling strategic decision-making. Proficient in Python-based statistical analysis, churn prediction, and customer segmentation, driving a 15% improvement in retention and acquisition strategies. Adept at integrating diverse datasets, data cleaning, and preprocessing to ensure high-quality analytics aligned with business objectives. Strong analytical thinker with experience in cross-functional collaboration, problem-solving, and implementing data-driven strategies to optimize operational efficiency.
Skills & Expertise (27)
Work Experience
Senior Associate Analyst
WNS Global Services
Sep 2024 - Dec 2025
Redesigned cross-regional data pipelines, incorporating PySpark for large-scale transformation and cleansing of insurance datasets alongside optimized SQL query strategies, improving multi-layer processing speed and overall system performance by 25%. Executed large-scale churn forecasting initiatives, leveraging advanced predictive models to identify behavior trends and drive a 15% decrease in customer attrition. Developed scalable Power BI architectures featuring sophisticated DAX models and automated refresh mechanisms, ensuring real-time analytics accessibility across global teams. Designed scalable ETL pipelines using SQL, Snowflake, and PySpark to integrate multi-source datasets, improving reporting consistency and reducing data processing time by 25%. Automated enterprise reporting workflows using SQL, Snowflake, and Power BI, reducing manual reporting effort by 35% and enabling faster business insights. Implemented performance-oriented data engineering frameworks that enhanced data reliability, accelerated reporting cycles, and improved decision-support across regions. Leveraged advanced DAX calculations and Python analytics to drive global marketing strategies, contributing to a 20% increase in customer acquisition and improved campaign ROI. Translating complex, multi-source datasets into actionable insights, empowering leadership with data-driven guidance for strategic planning and operational excellence. Collaborated closely with cross-regional stakeholders to ensure data integrity, optimize analytics initiatives, and align insights with overarching business priorities. Spearheaded predictive modeling and advanced analytical frameworks, driving revenue growth, improving customer retention metrics, and supporting long-term business scalability.
Associate Analyst
WNS Global Services
May 2023 - Aug 2024
Streamlined and modular data-processing structures, applying optimized query logic and refined indexing methods that elevated throughput for large datasets by nearly 20%. Created advanced customer segmentation schemes using clustering and statistical exploration, enabling early detection of risk-prone groups and supporting targeted corrective actions. Delivered interactive, business-aligned Power BI visual suites featuring intuitive drill paths and deep-dive layers, translating operational trends into clear, executive-ready insights. Performed large-scale data transformation using PySpark and SQL, preparing analysis-ready datasets for predictive modeling and executive reporting. Introduced insights-led process enhancements that reduced functional turnaround times and boosted the efficiency of analytics workflows across teams. Developed scalable ETL workflows leveraging Snowflake, SQL, and Python, improving data quality and enterprise reporting consistency. Performed in-depth assessment of high-volume claim rejections using Python libraries and analytical querying techniques, uncovering key patterns that streamlined approval processes and improved acceptance rates by 15%. Applied predictive modeling and exploratory forecasting methods in Python to anticipate operational trends, quantify risk levels, and guide data-backed performance improvements.
Trainee Analyst
WNS Global Services
May 2022 - Apr 2023
Streamlined SQL queries, boosting data retrieval efficiency by 25% and optimizing overall database performance. Executed comprehensive data cleaning and validation processes, ensuring accuracy and reliability of business reports for informed decision-making. Developed and implemented automated test scripts, reducing defects by 30% and enabling seamless integration throughout the SDLC. Conducted root cause analysis and collaborated with cross-functional teams, enhancing system reliability and workflow efficiency by 20% while aligning testing strategies with business objectives.
Education
Bachelor of Technology in Computer Science and Engineering - Chitkara University
- 2023 · Afghanistan
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Skills (27)
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