Senior Data Analyst - SQL, Python, BI

AMAN CHOUKSEY

Senior Data Analyst SQL Python Power BI Tableau A/B Testing Predictive Modeling Retail and eCommerce Fintech

973-***-**** Jersey City, NJ ************@*****.*** linkedin.com/in/aman-chouksey07 PROFESSIONAL SUMMARY

Senior Data Analyst with 6+ years of experience using SQL, Python, Power BI, and Tableau to analyze complex datasets, develop KPI frameworks and dashboards, and deliver actionable insights that drive business decisions across retail eCommerce, fintech, and social impact domains. Currently serving as Senior Data Analyst at Chicago Education Advocacy Cooperative (ChiEAC), a US nonprofit organization, supporting data-driven educational equity initiatives. Skilled in data cleaning, statistical analysis, A/B experimentation, predictive modeling, funnel analysis, customer lifecycle analytics, and cross-functional stakeholder collaboration. Completed M.S. in Business Intelligence and Analytics at Stevens Institute of Technology. CORE COMPETENCIES AND TECHNICAL SKILLS

Data Analysis: Statistical Modeling, Regression, Time Series Analysis, A/B Experimentation, Exploratory Data Analysis, Predictive Modeling, Customer Lifecycle Analysis, Funnel Analysis, Audience Segmentation, Marketing Mix Modeling, Feature Engineering, Data Cleaning and Validation, Root Cause Analysis, Data Quality and Governance. Tools and Technology: SQL (Advanced, CTEs, Window Functions, Complex Joins), Python (Pandas, NumPy, Scikit-learn, Matplotlib, Automation Scripts), Power BI (Advanced, DAX familiar), Tableau (Advanced), Excel (Advanced, VBA, Pivot Tables, Power Query), R (Statistical Analysis), Snowflake (familiar), BigQuery (familiar), ETL Concepts. Collaboration and Management: Requirements Gathering, Stakeholder Management, Cross-Functional Collaboration, KPI Development, Executive Reporting, Self-Service Analytics, Business Process Improvement, JIRA, Agile/Scrum, Confluence

(familiar).

PROFESSIONAL EXPERIENCE

Chicago Education Advocacy Cooperative (ChiEAC) Chicago, IL (Remote) Senior Data Analyst, Data Science Fellow Sep 2026 to Present

• Serve as Senior Data Analyst supporting ChiEAC's data-driven educational equity initiatives, applying SQL, Python, Power BI, and Tableau to analyze program data, identify trends and opportunities, and deliver actionable insights that support the organization's nonprofit mission of connecting students to upward social mobility.

• Develop and maintain Power BI and Tableau dashboards tracking key performance indicators across educational programs, student engagement, and operational metrics, enabling data-informed decision-making for leadership and cross-functional stakeholders.

• Write complex SQL queries and Python scripts to extract, clean, validate, and analyze large datasets, perform exploratory data analysis to identify patterns and anomalies, and develop recurring and ad hoc reports supporting organizational strategy.

• Apply predictive modeling and statistical analysis techniques using Python and Scikit-learn to analyze program outcomes, student performance trends, and engagement patterns, translating findings into clear recommendations for senior leadership.

• Collaborate with cross-functional teams to gather requirements, define data standards and KPI frameworks, ensure data accuracy and integrity, and present data-driven insights through executive-ready visualizations and structured presentations. Flipkart Internet Private Limited (via Inno Source Services) Bengaluru, India Senior Data Analyst, Retail and eCommerce Analytics May 2022 to Jul 2024

• Analyzed large and complex retail and eCommerce datasets using SQL, Python, and R to identify trends, patterns, and actionable insights that informed business strategy for 10+ stakeholders.

• Built and maintained Power BI and Tableau dashboards tracking KPIs across sales, marketing, and operations, accelerating executive decision cycles by 20%.

• Designed and executed A/B experiments, funnel analyses, and customer lifecycle analyses to evaluate campaign performance, optimize channel investment, and improve retention.

• Developed predictive models using Scikit-learn including segmentation, churn prediction, and propensity modeling, reducing manual reporting effort by 30%.

• Performed data cleaning, validation, and quality assurance across multiple data sources and collaborated with IT and Data Engineering to operationalize models and communicate findings to senior management. One97 Communications Ltd (Paytm) Bengaluru, India

Data Analyst, Customer Analytics and Insights Jan 2020 to Apr 2022

• Extracted, cleaned, and analyzed large fintech and retail datasets using SQL, Python, and R to generate customer behavior insights that increased retention by 8%.

• Designed and executed A/B tests, MMM analyses, and funnel analyses to evaluate marketing campaign effectiveness and guide channel prioritization decisions.

• Built Tableau and Power BI dashboards and automated recurring reports, reducing manual analysis time by 40% and enabling self-serve analytics for business teams.

• Developed predictive models for customer segmentation, lifetime value estimation, and churn risk to support data-driven product and marketing strategy.

• Validated data quality, documented data definitions, and presented data-driven recommendations to senior management through executive-ready visualizations.

Tata Communications Limited Bhopal, India

Data Analyst, Business Intelligence and Operations Analytics Jul 2016 to Dec 2019

• Queried and analyzed operational datasets using SQL and Excel to generate performance insights that maintained 99.9% network uptime.

• Built Tableau and Excel KPI dashboards for operational performance monitoring and communicated insights to senior management to support planning and process improvement.

• Performed data cleaning, validation, and exploratory analysis across multiple operational sources and collaborated with technical and operations teams, improving installation efficiency by 18%. EDUCATION

Stevens Institute of Technology Hoboken, NJ

Master of Science, Business Intelligence and Analytics (GPA: 3.7). Sep 2024 to May 2026 Relevant Coursework: Foundations of Business Analytics, Data Analytics and Machine Learning, Statistical Modeling, Experimental Design and A/B Testing, Optimization and Process Analytics, Multivariate Data Analysis. Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV) Bhopal, India Bachelor of Engineering, Computer Science Aug 2012 to Jun 2016 ACADEMIC PROJECTS

Applied Data Science and Analytics Study, OECD PISA 2018 Dataset (US, Canada, UK) 2025 Stevens Institute of Technology SQL, Python, R, Power BI

• Analyzed large-scale international datasets using SQL, Python, R, and Power BI, built KPI dashboards, and delivered data- driven recommendations to senior stakeholders, improving model performance by 25%.

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