Data Analyst Machine Learning

Kishore Kumar Reddy Madithati

Data Analyst Newark, DE

+1-856-***-**** *****************@*****.*** LinkedIn Summary:

Data Analyst with over 6+ years of experience leveraging advanced data analysis, statistical modelling, and machine learning techniques to provide actionable insights.

Expertise in data processing and visualization using NumPy, Pandas, Matplotlib, Seaborn, ggplot2, SciPy, and Scikit- learn to build predictive models and impactful visualizations.

Well-versed in Power BI and Tableau for designing, communicating dashboards and reports, improving stakeholder communication, and facilitating data-driven strategies.

Experienced in cloud technologies like AWS, GCP, Azure, optimizing scalable data storage and processing for large datasets.

Proficient in database management with MySQL, PostgreSQL, SQL Server, and Oracle, ensuring efficient data storage, retrieval, and analysis.

Skills:

Methodologies: SDLC, Agile, Waterfall, A/B Testing, hypothesis testing

Languages: Python, R, SAS, SQL, PL/SQL

IDEs: Visual Studio Code, PyCharm, Jupyter Notebook

ETL Tools: SSIS, SSRS, SSAS, Informatica.

Visualization Tools: Tableau, Power BI, Excel (V-lookup, H-lookup, Pivot Tables)

Cloud Technologies: AWS, GCP, Azure

Databases: MySQL, PostgreSQL, SQL Server, Oracle, MongoDB

Version Control Tools: Git, GitHub, GitLab

Other Skills: Data Cleaning, Data Wrangling, Critical Thinking, Communication, Presentation Skills, Problem-Solving, Data Analytics, Decision-making, Data Architecture, Data Mining, Data Management, Data Manipulation, Data Warehousing

Operating Systems: Windows, Linux, Mac

Education:

Master’s in Data Science, University of Delaware, Newark, DE Certification:

Microsoft Certified: Power BI Data Analyst Associate

SQL (Advanced) Certificate- hackerrank

Dataiku Core Designer- Dataiku

Python Data Structures- Coursera

Professional Experience

JP Morgan Chase Apr 2024 - Present

Data Analyst, USA

Implemented Agile methodology to oversee project life cycles, focusing on the design, development, and optimization of reports, ensuring timely and accurate data delivery.

Performed data cleaning and preprocessing on datasets exceeding 10 million records using Python, SAS, leveraging R for statistical modeling and hypothesis testing, reducing data errors by 30% and enhancing data quality for more precise analysis.

Established progressive data visualizations using Tableau, decreasing decision-making time by 40% and providing actionable insights for stakeholders.

Leveraged NumPy and Pandas to structure, clean, and transform datasets, reducing data inconsistencies by 25% and improving analytical accuracy.

Built and deployed machine learning models (regression, classification) using Scikit-learn to predict market trends and customer churn, resulting in a 15% increase in forecasting accuracy.

Designed and orchestrated scalable ETL pipelines using Azure Data Factory (ADF) to ingest data from diverse on- premises and cloud sources (SQL Server, Blob Storage, REST APIs) into Azure Data Lake.

Applied feature engineering and selection techniques to improve ML model performance, achieving up to 20%

improvement in model precision and recall.

Collaborated with cross-functional teams to migrate data solutions to Azure and reduce infrastructure costs by 15%.

Executed comprehensive data cleansing and transformation in MySQL, achieving a 60% reduction in data errors and improving reporting accuracy.

Conducted A/B testing and model validation to support business strategies with data-driven insights. NextGen Healthcare Aug 2017 - Jul 2022

Data Analyst, India

Accomplished end-to-end data analytics projects using the Waterfall methodology, ensuring on-time delivery and alignment with business objectives.

Optimized SQL queries for large-scale data extraction and analysis, boosting reporting and enhancing data accuracy.

Industrialized advanced data visualizations using Matplotlib and Seaborn, leading to a 20% reduction in decision- making time through actionable insights.

Designed and deployed interactive dashboards in Power BI, improving business performance tracking and reducing reporting errors by 20%.

Created and maintained Excel spreadsheets with large datasets, implementing advanced formulas and macros, Excel functions including Pivot Tables and V-Lookups to streamline data processing and automation.

Implemented scalable cloud-based data solutions using Azure, enhancing data storage, accessibility, and processing capabilities.

Developed parameterized ADF pipelines and reusable dataflows for automating data ingestion, transformation, and load processes

Executed advanced data management and query optimization in PostgreSQL and Oracle, ensuring seamless access to accurate, reliable datasets.

Conducted exploratory data analysis (EDA) and built predictive ML models to analyze customer segmentation and behavior, contributing to personalized marketing strategies.

Led data mining and warehousing to optimize data pipelines, improving data flow and organizational decision-making.

Contact this candidate