Nandu Maddi

Data Analyst/Data Engineer

704-***-**** ad3h89@r.postjobfree.com Charlotte, North Carolina www.linkedin.com/in/maddie-reddy-b41036247

An accomplished Data Analyst with 5+ years of experience in data analytics, encompassing skills in data cleaning, statistical analysis, and visualization. Known for translating complex datasets into strategic insights to support informed decision-making. My contribution lies in harnessing data to identify trends, optimize processes, and drive organizational success, offering a data-driven approach that aligns with business objectives.

SKILLS AND TECHNOLOGY

Programming/Platforms/Libraries: Python, R, SQL, Excel, SA, PyTorch, TensorFlow, Tableau, Power BI

Databases: SQL Server, Big Query, My-SQL, Oracle, Hadoop

Machine Learning & Statistical Techniques: Decision Trees, Naïve Bayes, Support Vector Machines, Exploratory Data Analysis (EDA), & Random Forests, Linear & Logistic Regression, Clustering. Linear Regression, Hypothesis Testing, A/B testing.

Big Data/Cloud: Hadoop, Hive, PySpark, AWS

Tools: R Studio, SQL, Python (NumPy, Pandas, Matplotlib, NLTK, Scikit-Learn), SAS, SQL, Advanced Excel (Macros), MS Office Tools, Tableau, QlikView.

PROFESSIONAL EXPERIENCE

Liberty Mutual

Data Analyst Aug 2022 – Present

●Working with, manipulating, joining, and analyzing complex data sets in Microsoft Excel, Power BI and similar tools Driving continuous improvement efforts to ensure system and process efficiency

●Experience presenting complex analysis findings to leadership Driving improvements in BSA approaches and working closely with program and project leaders to become a trusted source of business and system analysis

●Experience working with the business side and influencing without authority Working knowledge of SQL databases and queries High level of expertise using MS Office applications and collaborative tool.

●Used Jenkins pipelines to drive all micro services builds out to the Docker registry in AWS.

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●Consumed data from Kafka into Databricks to perform various transformations and manipulations with the data using Python and PySpark scripts.

●Developed Spark applications using Spark-SQL and PySpark in Databricks for data extraction, transformation, and aggregation from multiple file formats for Analysing& transforming the data to uncover insights into the customer usage patterns.

●Monitored the validation phase of multiple predictive models focused on customer segmentation and customer profiling for the execution of the marketing campaigns and ensured the desired target list is generated prior to deployment of the campaigns. Tools: Tableau, Python, SQL, and MS Office.

●Analyzed unstructured data (unstructured emails, SMS text, notes; transaction data; weblog data; event data, etc.) using various text analytics tools & techniques to identify complaint drivers and reduce the complaint occurrence.

●Created various dashboards and built visualizations in Tableau and PowerPoint to clearly articulate complaint drivers.

●Used Informatica PowerCenter for (ETL) extraction, transformation, and loading data from heterogeneous source systems into the target database.

Dell Systems Aug 2021- Aug 2022

Analytics Consultant

●Designed and implemented complex SQL queries to retrieve and manipulate data from relational databases, ensuring data accuracy and completeness.

●Utilized advanced Excel functions and VBA macros to streamline data processing tasks and create automated reports.

●Developed interactive and informative data visualizations using Tableau, showcasing key performance indicators (KPIs) for stakeholders.

●Performed statistical analysis and hypothesis testing to validate assumptions and support business strategies.

●Collaborated with cross-functional teams to identify data requirements, conducted data wrangling, and transformed raw data into a usable format.

●Conducted customer segmentation analysis, leading to more targeted marketing campaigns and improved customer retention.

Wipro Jul 2018 - June 2021

ETL Developer

●Designed and implemented complex ETL (Extract, Transform, Load) processes to ingest, transform, and load large volumes of structured and unstructured data from various sources into a centralized data warehouse.

●Developed and maintained data pipelines using technologies such as Apache Spark, Apache Hadoop, and Apache Kafka, ensuring data availability, reliability, and scalability.

●Collaborated closely with data scientists and analysts to understand their data requirements and provide clean, well-structured datasets for analysis and reporting.

●Utilized SQL and NoSQL databases, including PostgreSQL, MongoDB, and Cassandra, for data storage and retrieval, ensuring optimal data performance.

●Automated data validation, data cleansing, and data enrichment processes to maintain data quality and consistency.

EDUCATION

●New York Institute of Technology Master of Science in Computer Sciences - Dec 2022

●Vignan Institute of Technology and science Bachelor of Technology in computer sciences - May 2018

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