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Anudeep Kolla

Anudeep Kolla

Product Data Analyst

Talent
MaineMember since July 24, 2026
Power BIQlikViewMode AnalyticsExcelPythonpandasscikit-learnXGBoostSQLMySQLSnowflakedbtAirflowGitForecastingA/B Testingt-testsBacktestingMAERMSEJiraConfluence
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Power BIQlikViewMode AnalyticsExcelPython

About

Product Data Analyst with 5+ years of experience in SQL, Python, and Snowflake, specializing in product analytics, forecasting, and experimentation across e-commerce fulfillment and enterprise data platforms. Builds scalable data pipelines and drives data governance and quality standards using Snowflake, dbt, and Airflow, translating large-scale operational data into measurable business outcomes, including double-digit reductions in order cancellations, improved forecast accuracy, and faster reporting cycles. Combines strong data engineering fundamentals with expertise in A/B testing, statistical validation, and Power BI/QlikView dashboarding to turn complex datasets into decisions that scale.

Experience

Product Data Analyst - Instacart - USA

(2025-06)

Product analytics for fulfillment and pricing across Instacart's e-commerce marketplace, partnering with cross-functional product pods

  • Collaborated with three product pods to diagnose routing inefficiencies across Instacart's fulfillment network, improving slot allocation logic and reducing order cancellations by 9%
  • Designed and deployed data pipelines using Snowflake, dbt, and Airflow to process 10TB+ of daily order and fulfillment data, improving reliability and cutting refresh latency by ~15%
  • Overhauled KPI definitions and data governance processes for fulfillment and SLA tracking, improving data quality and consistency, and enabling self-service reporting via Mode Analytics across Product and Operations
  • Developed forecasting and uplift models in Python using scikit-learn and XGBoost; validated performance through backtesting (MAE, RMSE) to improve promotional demand prediction accuracy by ~4%
  • Conducted A/B testing on pricing experiments, instrumenting event tracking in Snowgoose product logs and using SQL with t-tests (95% CI) to identify variants that increased conversion by ~2%
  • Partnered with cross-functional teams, including PMs, Data Engineers, and Operations, to align analytics priorities, manage Airflow DAG versioning in Git, and support Agile sprint deliverables

Instructional Assistant (Analyst) - Florida Atlantic University - USA

(2024-01 - 2024-12)

Institutional analytics support during MS in Computer Science, focused on academic reporting and student performance data

  • Supported institutional analytics initiatives by building automated Excel and Python workflows to process 2K+ grade records, improving reporting turnaround by 25%
  • Built interactive Power BI dashboards to track student performance and equity trends, enabling faculty to identify and support at-risk learners early
  • Supported analysis and optimization of project resource allocation and cost tracking, contributing to forecasting workflows that improved budget accuracy
  • Applied statistical validation techniques (variance, correlation, z-scores) to evaluate question difficulty and support fair assessment design
  • Collaborated with professors to analyze learning outcome data and adjust pacing, supporting an ~8% improvement in average course performance
  • Streamlined data validation and reporting processes, supporting transparency and academic integrity across assessments

Data Analyst - Tudip Technologies - India

(2020-06 - 2023-06)

QA and engineering analytics for enterprise client engagements at a mid-market IT services and software consulting firm

  • Revamped QlikView dashboards for SLA and defect tracking, creating a unified view for QA and Engineering Teams, adopted across six client engagements over the course of the role to enhance sprint analytics
  • Engineered SQL automation scripts in MySQL processing 100K+ issue logs per month, reducing manual reporting cycles by 30%
  • Performed root-cause and trend analyses using Python (pandas, matplotlib) to uncover recurring defects, contributing to a 15% reduction in issue recurrence
  • Implemented a standardized KPI framework for release quality, improving visibility, alignment, and collaboration across Agile teams via Jira and Confluence
  • Presented defect insights and sprint performance findings to stakeholders, influencing prioritization and roadmap planning
  • Mentored two junior analysts on SQL query optimization and dashboard-building best practices

Education

Master of Science - Computer Science - Florida Atlantic University

Bachelor of Science - Computer Science - Parul University

Skills

Product Data Analyst

Reviews

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