Data Analyst

SUMMARY

Sushma Polineni

Data Analyst

945-***-**** **********@*****.*** LinkedIn

• Data Analyst with over 4+ years of experience in extracting actionable insights from complex datasets. Proficient in Python and SQL for data extraction, transformation, and analysis. Skilled in data visualization with Tableau and Power BI, presenting findings that drive informed business decisions. Adept at identifying trends, patterns, and anomalies, improving operational efficiencies, and optimizing business processes. Proven track record of delivering data-driven solutions that directly impact organizational success. Seeking to leverage my analytical skills and experience to empower data-informed decision-making in a dynamic organization. SKILLS

Methodologies: SDLC, Agile, Waterfall

Languages: Python, R, SQL

IDEs: Visual Studio Code, PyCharm

Packages: NumPy, Pandas, Matplotlib, SciPy, ggplot2, TensorFlow, Keras Visualization Tools: Tableau, Power BI, Microsoft Excel Database: MySQL, SQL Server

Other Skills: Data Cleaning, Snowflake, Data warehousing, Data Wrangling, Critical Thinking, Communication Skills, Presentation Skills, Problem-Solving, Git, GitHub Operating System: Windows, Linux

EDUCATION

Master of Science in Business Analytics University of Texas at Dallas WORK EXPERIENCE

CVS-Data Analyst Jan 2023 – Current

• Leveraging Python and SQL to analyze and interpret complex datasets, leading to the discovery of key insights that contributed to a 15% increase in customer retention.

• Designing and developing interactive Tableau and Power BI dashboards, providing stakeholders with real-time access to critical performance metrics, resulting in faster and more informed decision-making.

• Conducting data analysis and trend interpretation for developing statistical process control methods in support of aviation information and readiness reporting requirements.

• Automating web-scraping tool to produce marketing content using Python. Spatialytics-Data Analyst Jun 2018 – July 2021

• Achieved an ROI of 200% independently leading the product analytics division. Employed A/B testing & regression models to optimize user segmentation. Boosted business KPIs growing annual revenue by 15%.

• Leveraged sales & website data to conduct root cause analysis, identifying bottlenecks in operational workflow & conducted competitive analysis, providing actionable insights to business leaders.

• Spearheaded monthly reporting of product performance using Tableau. Pioneered the inclusion of Time Series Forecasting for strategic sales planning and enhancing operational efficiency.

• Transformed product data into actionable insights crafting 50+ BI dashboards & monitored business KPIs recommending strategies to upper-level management. PROJECTS

1. Airline Passenger Satisfaction Aug 2022 – May 2023

• Conducted a comprehensive analysis of passenger satisfaction for a major airline, cleaning, and modeling 130,000 survey responses across 24 attributes using Python.

• Utilized Python libraries such as Pandas, NumPy, Spacy, and Scikit-learn for data cleaning, modeling, and machine learning, and used data visualization tools to derive insights and store data in a relational database. 2. SymbiEat Jun 2019 – May 2020

• Developed a website using HTML, CSS, SQL, and Python for pre-ordering food in the university canteen, reducing wait times to less than 10 minutes, and storing customer data in a database.

• Designed and conducted 400 customer surveys using advanced Excel (VBA, Macros, Pivot tables), leading to website improvements that resulted in a 76% increase in customer satisfaction.

• Utilized HTML, SQL, and Python to develop the website, and Excel (VLOOKUP) for customer survey analysis and insights.

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