Data Analyst Analysis

Sumanth Kurumella

Email: *******.*********@*****.*** Phone: 720-***-**** Location: Parker, Colorado

With hands-on experience in testing, technical recruitment, and business management, I’ve developed a keen interest in data analysis. My journey across these roles has deepened my analytical skills and sparked a genuine passion for using data to solve problems. I’m now eager to transition into a Data Analyst role, where I can use my knowledge of Python, SQL, and Tableau to uncover insights and support informed decision-making for businesses

Skills

Programming Languages: Python

Databases: MySQL, PostgreSQL, SAP HANA

Data Cleaning & Preparation: Data Imputation, Outlier Detection (Box Plot)

Predictive Modeling: Decision Trees, Logistic Regression, SVM, Deep Learning

Exploratory Data Analysis: Clustering, Correlation Analysis

Data Visualization: IBM SPSS Statistics, Tableau, MS Excel

Data Mining: SAS Miner Enterprise

Business Process Modeling & Analysis Tools: Microsoft Visio, ARIS

Test Engineer Cerebra Consulting

Vishakhapatnam, Andhra Pradesh Aug 2021 - Jan 2023

Project 1: Equais (Client) Aug 2021 - Dec 2021

Reviewed functional specifications and designed test scenarios.

Executed test cases, compared results, and analyzed test data to identify patterns, optimizing test coverage by 20%.

Leveraged Tableau to analyze and visualize defect patterns, improving stakeholder decision-making processes.

Environment: Liferay DXP 7.2, AWS, Tableau, Jira, Android, iOS, Windows 10.

Project 2: ABM (Client) Jan 2022 - Jan 2023

Developed comprehensive test plans aligned with business requirements, improving test coverage and accuracy by 15%.

Managed the defect life cycle in Jira, performing data-driven analysis of defect patterns.

Conducted sanity and regression testing, using data insights to prioritize critical test cases, improving efficiency by 15%.

Environment: ABM Industries (Test), ABM Workspace (Production), Android Device, iOS Device, Windows.

Technical Recruiter Novitas Infotech

Hyderabad, Telangana Jan 2020 - Aug 2021

Managed the recruiting process from gathering requirements to providing feedback.

Researched and identified potential candidates using job sites and networking.

Screened resumes and conducted preliminary interviews to evaluate candidate credentials.

Negotiated compensation with candidates to maximize profit margins.

Utilized recruiting portals like Dice, Monster, LinkedIn, and CareerBuilder.

Operations and Strategy Manager Sunny Industries

Vasai Jan 2013 - Nov 2019

Directed manufacturing operations, leveraging data-driven decision-making to streamline production processes, enhance efficiency, and cut operational costs by 10%.

Analysed sales data using MS Excel (FORECAST.LINEAR function and Moving Averages) to forecast demand, resulting in a 10% reduction in inventory costs.

Managed departments, trained employees, and ensured compliance with quality assurance (QA) standards.

Environment: Microsoft Excel, Forecast. Linear Functions, Moving Averages

Front Office Sales Executive Sree Vijaya Traders

Vijayawada May 2007 - Sep 2010

Performed detailed market analysis using MS Excel (Pivot Tables, Charts) to identify key sales opportunities, contributing to a 12% increase in revenue.

Prepared detailed sales reports and performed financial data analysis to support business strategies and decision-making.

Negotiated and closed deals, improving sales outcomes by utilizing data insights to enhance negotiation strategies.

Environment: Ms Excel, Pivot Table, Chart

Education

Management Information Systems, University of Illinois Springfield USA

Master’s in business administration, Koneru Lakshmaiah University India

Bachelor of Commerce, Nalanda Degree College, Nagarjuna University India

Certifications & Licenses

ARIS Business Process Analysis Platform, Software AG University Relations Dec 2023

Mendix Developer - 64991, MX Mendix Oct 2023

Introduction to SQL Windows Function, Coursera Jul 2024

Business Analytics University of Illinois Springfield Jul 2024

Academic Projects

Stroke Prediction Using Data Mining Techniques Jan 2024 - Mar 2024

Description:

Led a project on stroke prediction using advanced data mining techniques, focusing on data collection, preparation, and model development.

Utilized the Heart Stroke Data Set from Kaggle, ensuring data integrity by handling missing values through data imputation and identifying outliers using box plot techniques.

Conducted comprehensive exploratory data analysis (EDA) and clustering to identify key stroke risk factors.

Built and rigorously evaluated predictive models (Decision Trees, Logistic Regression, SVM, Deep Learning) that achieved an accuracy rate of 95%, significantly enhancing stroke risk prediction.

Created insightful visualizations to effectively communicate findings and derive actionable insights.

Collaborated with a multidisciplinary team of three to deliver a high-impact predictive model for stroke risk assessment.

Technologies Used:

Data Cleaning and Preparation: MS Excel for meticulous data cleaning and preprocessing.

Data Visualization: Tableau to create compelling and clear visual representations of the data.

Predictive Modeling: SAS Enterprise Miner for developing sophisticated predictive models.

Data Source: Kaggle Heart Stroke Dataset, ensuring a robust and diverse data foundation.

Outcome:

Successfully developed a highly accurate stroke prediction model that can significantly assist healthcare providers in early detection and prevention of strokes, thereby potentially reducing stroke-related mortality and disability rates. The model’s high accuracy and reliability underscore its potential impact in the medical field

Coursework

The Complete SQL Bootcamp: Go from Zero to Hero, Udemy

100 Days of Code: The Complete Python Pro Bootcamp, Udemy

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