Data Analyst Digital Marketing

SANDHYA SURESH

Chicago, IL ***** 312-***-**** ***************@*****.***

PROFESSIONAL SUMMARY

• An experienced Buisiness Data analyst with 2+ years experience of statistical modelling, data mining, extracting data, developing dashboards and reports across cross functional teams.

• Utilize Research, Analysis and Problem-Solving abilities to develop Optimal Solutions and Improve Processes.

• Proficient in Business Analysis, Data Analysis, Data Mining and Visualization Techniques using R, Python, Tableau, SQL, and Power BI. TECHNICAL SKILLS

• BI/ Analytics Tools: R, Tableau, Power BI, Rapid Miner, Excel, SAS, Python, ETL, OLAP, Google Analytics, SSIS, SSRS, SSAS

• Database & Tools: Microsoft SQL Server, MySQL, Visual Studio, Neo4j, MongoDB

• Techniques and Packages: Decision Trees, Random Forests, K-NN, K-Means, Linear Regression, Naive Bayes, PCA, ANOVA, Neural Networks, Logistic Regression, NumPy, Pandas, Matplotlib

• Programming: SQL, C#, HTML, Java, CSS, UNIX, LINUX

• Other: SDLC, Waterfall Model, JIRA, AGILE Methodology, MS Visio, Business Analysis, Web Crawling PROFESSIONAL EXPERIENCE

Messina Group Consulting, Chicago Role: Analytics Associate Mar’18 - Present

• Created and managed interactive dashboards for 6 clients to track KPIs to make critical business decisions Tableau, Power BI

• Contributed in client facing meetings to excerpt data and translate into effective information

• Performed Data Analysis to extract insights by writing complex SQL queries and functions

• Created and build POCs for various clients in different domains which resulted in procuring projects worth $5M

• Built predictive model to predict the attrition rate for an airline client with accuracy of 65% R

• Interacted with the change management team to ensure product documentations are maintained and up to date Genivity, Chicago Role: Data Analyst Intern Aug’16 - Dec’17

• Developed dashboards for patient data to understand lineage of genetic imparting of disease Tableau and SSRS

• Implemented classification with Decision Tree, Naïve Bayes to predict the likelihood of diseases in patients R

• Analyzed and strategized HCI techniques for Tapgenes website to enhance user experience and improve the conversion rate by 15%

• Implemented Google Analytics to analyze the consumer behavior to improve the web traffic

• Gathered requirements and specifications for building screen mockups and wireframes NTT DATA, Bangalore, India Role: Software Engineer Nov’14 - Mar’16

• Addressed the issue of inappropriate price update of the pharmaceuticals by altering the SQL procedure and modifying price assignments

• on variables, resulting in cost containment of $20k

• Achieved performance improvement of 10% in Pharmacy Workflow achieving a faster and cleaner product.

• Developed Dashboards to track KPI like resource utilization, pending tasks to track and evaluate the project progress using Tableau

• Played the role of junior Project Manager while prioritizing and assigning tasks using tools like JIRA and Sapience tracker

• Created and developed Business Requirement Documents and User Stories EDUCATIONAL QUALIFICATIONS

Master’s in Management Information Systems - The University of Illinois at Chicago (UIC), GPA - 3.77/4.0 Aug’16 - Dec’17 Bachelor’s of Engr. in Computer Science - Visvesvaraya Technological University (VTU), India, GPA – 7.5/10.0 Aug’10 - Jun’14 ACADEMIC PROJECTS

• Visualizations of American Airline On-Time Performance (Tableau, MS Excel) - Analyzed airline dataset and designed dashboard and stories of American and its competitor airline’s on-time performance metrics

• Chronic Kidney Disease Prediction (R) - Predicted the viability of a person to Chronic Kidney disease using logistic regression with an accuracy of 88%

• Tracker using Google Analytics - Created a website and implemented Google analytics to analyze web traffic, understand user interactions and digital marketing thereby helping to make efficient business decisions

• Sentiment analysis for Healthgrades.com (R, Python) - Conducted sentiment analysis on doctor reviews; performed topic modelling to understand the physician characteristics

• Decision Tree Analysis of German Credit Data (R): Determined a credit scoring rule to check the credibility of an applicant

• Segmenting Customers of Bath soap (RapidMiner): Segmented the consumer market based on Purchase behavior and Basis of Purchase using K means, DB Scan and agglomerative clustering algorithms

Contact this candidate