Sravanthi Chava

adkfwb@r.postjobfree.com https://www.linkedin.com/in/sravanthi-chava/ +1-425-***-**** EDUCATION

Northeastern University, Seattle, WA January2020-Present Master of Professional Studies in Analytics, GPA: 3.9 4 Relevant Coursework: Data Warehousing, Data Mining and BI, Data Visualization, SQL, Predictive Analytics, Hypothesis Testing, Data base foundations, Probability theory and statistics. Jawaharlal Nehru Technological University, Hyderabad, India June 2013-May2017 Bachelor of Technology, Civil Engineering, GPA: 3.8/4 TECHNICAL SKILLS

Databases : My SQL, Mongo DB

Language : SQL, R, Python (Pandas, Seaborn, Matplotlib, Scikit Learn, NumPy). Analytics Tools : Tableau, MS Excel, R studio, Jupyter Lab Machine Learning : Regression, Classification, Predictive Analysis, Data Mining, Visualization. WORK EXPERIENCE

Computer Aided designing department, Government of India Oct 2018-Dec 2019 Assistant Executive Engineer

• Involved in the requirement gathering, data analysis and design phases for building a new Irrigation project for Government of India.

• Designed and implemented various multipurpose irrigation projects using AUTOCAD, GIS, Excel, and SQL in a span of 9 months.

Accenture, Hyderabad, India Sep 2017-Sep 2018

Associate Software Engineer

• Designed and implemented SQL queries to load, export and manipulate data. Expertise in writing SQL queries using joins, subqueries, grouping and aggregation.

• Designed test plans, regression testing and gathered business requirement to implement end to end projects for multiple releases.

• Automated collection & organization of data using Python and MySQL for automation testing which reduced approximately 100 hours of manual data insertion effort each week.

• Built out data and reporting infrastructure using Tableau and SQL to provide real time insights into the performance of insurance products and business KPIs for QBE insurance group. ACADEMIC PROJECTS

• Costco Wholesale data analysis:

o Items that should be stocked more in particular region in different months of the year were identified based on sales.

o Predicted the percentage of customers who are not likely to renew their membership using Tableau, Python and Jupyterlab.

• COVID19 data analysis:

o Analyzed millions of records from various sources and determined food habits of most and least covid 19 affected countries.

o Tableau visualizations which help in understanding the analysis even by non-technical professionals were created using MS Excel and Python.

• Experiential Learning Project-Analysis of ECFR website: o Created a search experience which has reduced the searching time drastically for the Electronic code of federal regulations website (ECFR) to load into MONGO DB database for the project sponsor. ACHIEVEMENTS

Received “Japan-Asia Youth Exchange Program (SAKURA)” scholarship of 5000 USD in Science and technology and attended conference in Japan administered by Japan Science and technology Agency.