Data analyst

SRIANUSHA PUNATI

Chicago, IL,USA 475-***-**** *************@*****.*** www.linkedin.com/in/srianushapunati CORE SKILLS

Analytics & Data: Advanced SQL, Python (Pandas, NumPy), KPI Frameworks, Customer Lifecycle Analytics, Retention & Churn Analysis, A/B Testing, Root Cause Analysis, Revenue & Growth Analytics BI & Visualization: Tableau, Power BI, Dashboard Development, Executive Reporting, Data Storytelling Data Engineering & Warehousing: ETL Pipelines, BigQuery, dbt-style Transformations, Data Modeling, GCP

(Dataflow, Pub/Sub, Composer), API Integrations

Product & Business: Product Analytics, Experimental Design, Feature Performance Analysis, Cross- functional Stakeholder Partnership, Metric Definition & Governance Tools & Platforms: GitHub Actions, Docker, Flask, Excel (Advanced), Forecasting & Predictive Analytics PROFESSIONAL EXPERIENCE

Data Analyst Aptech (Remote)

Jul 2024 – Jun 2025

• Defined and analyzed cross-domain KPIs across customer retention, product utilization, and operational performance, improving leadership decision accuracy by 30%.

• Built executive-ready Power BI and Tableau dashboards tracking lifecycle metrics, growth trends, and customer behavior across multiple business units.

• Owned end-to-end analytical projects, from stakeholder scoping through impact measurement and reporting, directly influencing quarterly strategy planning.

• Automated recurring analytics workflows using Python and SQL, reducing manual reporting effort by 35% and improving data freshness.

• Optimized complex SQL queries and data pipelines, improving data retrieval performance by 40% for business-critical dashboards.

• Conducted root cause analysis on KPI anomalies and performance declines, identifying actionable drivers of churn and revenue variance.

Python Developer (Analytics & Data Platforms) Aptech (Remote) Jun 2025 – Present

• Developed Flask-based analytics services supporting real-time reporting and internal performance monitoring across business teams.

• Built and automated ETL pipelines using Python and GCP services (BigQuery, Dataflow), enabling scalable ingestion and transformation of customer and product data.

• Implemented containerized analytics workflows using Docker and CI/CD pipelines via GitHub Actions, improving deployment reliability and iteration speed.

• Supported analytics feature development by enabling structured datasets and business logic for downstream modeling and reporting use cases.

Data Analyst Bornemindz Software Solutions Pvt. Ltd. Aug 2021 – Sep 2022

• Partnered with Product, Sales, and Finance teams to define KPIs and performance metrics across customer acquisition, retention, and revenue funnels.

• Designed and deployed Tableau and Power BI dashboards analyzing customer behavior, sales performance, and operational efficiency.

• Led cohort and retention analyses identifying churn drivers and engagement opportunities, improving forecasting accuracy by 20%.

• Optimized large-scale datasets through advanced SQL modeling and query tuning, improving analytics performance and usability.

• Mentored junior analysts on SQL best practices, dashboard design, and business metric interpretation.

PROJECT EXPERIENCE

GCP Data Pipeline for Sales & Customer Analytics

BigQuery Dataflow Python

• Designed scalable ETL pipelines ingesting real-time transactional and customer data into cloud warehouses for product and revenue analytics.

• Built automated orchestration workflows improving reporting freshness by 40% while reducing operational overhead.

• Enabled lifecycle and funnel analytics powering executive dashboards and performance monitoring. Customer Cohort & Retention Analytics

Python SQL Power BI

• Analyzed customer lifecycle stages to identify churn patterns, drop-off points, and expansion opportunities.

• Built automated retention dashboards and lifecycle funnels supporting customer success and growth teams.

• Delivered insights driving a projected 15% improvement in customer retention. Automated KPI & Business Performance Dashboard

SQL Python Tableau

• Developed an end-to-end analytics framework for KPI tracking, trend analysis, and operational performance monitoring.

• Implemented forecasting models to predict performance deviations and surface risks earlier. EDUCATION

Master of Science in Computer Science — University of Bridgeport, CT 2022 – 2024

Relevant Coursework: Advanced SQL Programming, Data Mining & Warehousing, Big Data Analytics, Machine Learning

Bachelor of Technology in Computer Science — JNTU, India 2017 – 2021

CERTIFICATIONS

• Deloitte Data Analytics Virtual Experience Program

• AWS Certified Developer – Associate

• REST APIs with Flask and Python

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