DEEKSHA SRIDHAR

**** * ******** ****** *******, Illinois 60607 +1-202-***-****

https://dsridh3.wixsite.com/deekshasridhar adbgcu@r.postjobfree.com www.linkedin.com/in/deekshasridhar/ EDUCATION

UNIVERSITY OF ILLINOIS AT CHICAGO MS Management Information Systems. (GPA 3.52) Aug 2018-May 2020 RV COLLEGE OF ENGINEERING BE Electronics and Instrumentation Engineering. (GPA 4.0) Aug 2014-May 2018 TECHNICAL SKILLS

PROGRAMMING LANGUAGES: Python, Java, SQL, R, C++, C,, JavaScript, HTML, XML, PHP, MATLAB, VHDL, PLC, μP and μC. TOOLS/APPLICATIONS: Anaconda Jupyter - NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Tableau, Power BI, SQL Server, SQL Server Data Tools, Hadoop, Spark, Microsoft Visual Studio, Microsoft Access, RStudio, Google Analytics, Java EE Eclipse, RapidMiner, Microsoft Project, LabVIEW, Simulink, Advanced MS Excel and other MS Office Tools. GRADUATE COURSES: Analytics for Big Data, Data Mining for Business, Data Analysis, Web Analytics, Business Data Visualization, Advanced Database Management, Applied Consulting, Information Systems Strategy and Policy, System Analysis Design Project, Statistics for Management, Project Management, Java, Enterprise Application Development, Financial Accounting, Operations Management, Digital Marketing and Business Intelligence, Cyber Security. EXPERIENCE

CENTER FOR LITERACY, UNIVERSITY OF ILLINOIS AT CHICAGO Graduate Research Assistant Chicago, IL May 2019-Present

• Redesign and Migration of CFL Website using Knack database application builder tool and maintenance of software inventory.

• Extracted CFL master data using SQL queries and generated summarization reports in Power BI.

• Designed and generated interactive dashboards in Power BI for the new departmental website.

• Established KPI’s to monitor analysis and provided insights to improve quality and standard work result.

• Identified strategic enhancements and automation opportunities by integrating heterogeneous data across the database using Tableau.

• Trained and supervised CFL staff and students to use the new departmental database application. FANFOOD INC, Data Analyst Chicago, IL

May 2019- Oct 2019

Mining and Modeling- Collected, cleansed and provided analysis and modeling of structured and unstructured data.

• Integrated various data sources into a data warehouse and analyzed the quantitative data gathered.

• Developed an understanding of customer behavior, demographics and lifecycle through data-driven analysis.

• Assisted in integrating the consumer app and website with Google Analytics and Tableau to carry out consumer analytics. Database- Performed daily monitoring of the consumer app database, collected requirements and documented it.

• Assisted in developing a new data warehouse for the company using Amazon Redshift. Dashboards- Created visually impactful dashboards in Tableau and identified key metrics for the Sales and Marketing team. Data Consulting- Worked on a project with Mars Wrigley Confectionery to conduct a pilot test and provide data needs listed.

• Proved incremental revenue for Mars Wrigley for every order placed on FanFood app.

• Reported the data findings on FanFood blog page and increased app user-engagement. RFQ ENQUIRY SOLUTIONS LPP Data Analyst Bangalore, India Jan 2016-Aug 2018

• Interpreted data in order to draw conclusions for managerial decisions for an online marketplace website.

• Applied statistical techniques and testing to validate data interpretations to make B2B procurement more transparent and efficient.

• Presented data and findings to team in order to improve business strategies and operations.

• Proposed solutions to simplify and streamline the entire Request for Quotation Management process for end users. PROJECTS

• Analyzed the German Credit Dataset and applied predictive models using deterministic approach to develop a credit scoring rule that can be used to help determine whether a new applicant presents a good or bad credit risk. Jan 2019-Mar 2019

• Carried out an exploratory analysis on the PVA Fundraising dataset (KDD -Cup ’98) to develop a classification model to improve the cost effectiveness of PVA’s direct marketing campaign and effectively capture donors to maximize the net profit. Jan 2019-Mar 2019

• Worked on the BTS on-time flight performance dataset and prepared a Visual Dashboard using Tableau to provide a visual overview of the assigned airline’s key performance features and analyze the overall trend in the airline industry. Jan 2019-Mar 2019

• Designed, developed and implemented relational databases and procedural database code, optimized query performance and populated test data to implement an application for an online retail store. Jan 2019-Mar 2019

• Developed a Web Application in Java Eclipse to implement an online JSF data analysis system using stock data. Carried out implementation of the project with statistical and regression analysis capabilities, graphical representation and deployment of the application on Tomcat server Jan 2019-Apr 2019

• Developed a project to set up an informational website and track the visitor activity and behavior using Google Analytics software to record the observations and data interpretation in a project report. Aug 2018-Dec 2018

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