Data Analyst - SQL & Python Insights

Piyush Jadhav

619-***-**** **********@*****.*** San Diego, CA in/piyushjadhav04/

SUMMARY

Data Analyst with 4+ years of experience turning data into decisions across technology, financial services, and education. Skilled in SQL and Python analytics, building dashboards and reports, defining KPIs, and translating complex findings into clear recommendations for stakeholders and senior leadership. Strong background in data quality and QA, A/B testing, behavioral analytics, and process improvement, with hands-on experience across the full analytics workflow from data extraction to insight delivery.

EXPERIENCE

Data Analyst, Apple Nov 2025-Present

• Partnered with cross-functional algorithm, engineering, and operations stakeholders to manage large-scale data-labeling initiatives (1,900+ items, 38 categories), aligning on requirements, quality standards, throughput, and delivery timelines

• Defined and enforced quality-assurance standards and built automated quality-scoring workflows that cut error-discovery time from weeks to hours, a measurable process improvement

• Standardized and refined labeling guidelines and acceptance criteria in partnership with technical teams, reducing ambiguity and improving consistency across the data pipeline

• Conducted Python and SQL analysis to monitor quality trends and surface systematic issues, generating operational reports that supported cross-functional decision-making

• Built a confidence-calibrated scoring framework validating automated quality scores against dual-reviewer ground truth

(precision >90%), establishing decision thresholds to prioritize rework across 50,000+ records

• Tracked operational KPIs (throughput, error rates, reviewer agreement) and reported on performance to ensure on-time, high- quality delivery to downstream teams

Data Analyst, San Diego State University Feb 2023-Nov 2025

• Designed and deployed Python (Pandas/NumPy) ETL pipelines to sync data via REST APIs, enabling real-time enrollment tracking and automated anomaly detection

• Built an interactive Streamlit application to visualize enrollment trends with statistical drill-downs, supporting stakeholder decision-making on resource allocation

• Spearheaded data migration of 1,000+ records from WordPress/Oracle DB using a Python extraction, transformation, and API- loading pipeline

• Applied behavioral analytics (funnel analysis, cohort segmentation) to identify engagement bottlenecks, achieving a 15% improvement in page retention

Data Analyst, FIS March 2021- August 2022

• Built fraud detection analytics on large-scale financial transaction data using SQL (Snowflake, CTEs, window functions) and Python, identifying patterns across millions of records

• Engineered data models and SQL views powering real-time Power BI executive dashboards, improving anomaly response time by 30%

• Led root-cause analysis reducing false-positive fraud alerts through statistical threshold optimization and logic refinement

• Optimized data pipelines and reporting logic, achieving 20% improvement in processing speed through query optimization

• Partnered with business stakeholders and data scientists to define KPIs, validate data quality, and run A/B testing on fraud detection model thresholds

SKILLS

Programming Language: SQL, Python, R

Tools: Microsoft Excel, Google Analytics, Jupyter Notebook, Git, REST APIs Core Skills: Business Intelligence, Data Analysis, KPI Definition, Data Storytelling, Stakeholder Management, Data Quality & QA, Process Improvement

Packages: Pandas, NumPy, scikit-learn, Matplotlib, Seaborn Visualization Tools: Tableau, Power BI, Streamlit, Microsoft Excel Database: Snowflake, SQL Server, BigQuery, MySQL

Statistical Testing: A/B testing, Hypothesis testing, Regression, Trend Analysis EDUCATION

Masters in Big Data Analytics, San Diego State University, San Diego, CA, USA August 2022 - May 2024 Bachelors in Computer Science, University of Pune, Pune, MH, INDIA July 2016 - May 2020

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