Data Analyst

Sindhu Samudrala

*******.*********@*****.*** +1-669-***-**** LinkedIn Github

EDUCATION

Master of Science in Data Analytics Jan 2020- Expected Dec 2021 San Jose State University, San Jose, California GPA:3.5/4 Bachelor of Technology in Information Technology Aug2013-May2017 Jawaharlal Nehru Technological University, India GPA:3.65/4 TECHNICAL SKILLS

Programming Languages: Python, Java, C, Scala, R, JavaScript, MySQL, SQL, PL/SQL, MongoDB, Neo4j Big Data: Hadoop, Pig, Hive, Apache Spark, Databricks Tools and Packages: Tableau, GIT, Maven, JCR, OSGI, Apache Sling. Cloud Technologies: AWS Cloud (EC2, S3, RDS), GCP

Certifications: Hadoop Certified Spark Developer (HDPCD/Spark), Oracle Certified Java Programmer (OCJP). PROFESSIONAL EXPERIENCE

Virtusa, India- Data Engineer (JPMC, Cisco) Aug 2017 to Jan 2020

• Developed an application to perform text extraction from Identity documents to validate the customer data.

• Provided data integration best practices by understanding and resolving data integration issues.

• Automated the data ingestion patterns as a framework developed using Spark and Scala.

• Conducted workshops with various business teams, gathered and documented requirements to collect the user feedback during Live Events.

• Developed specifications, performed gap/fit analysis, identified the data sources & required data integrations across multiple systems to generate the key insights required to evaluate the product performance and user feedback.

• Integrated the live web pages to the Google Cloud Platform (GCP) firestore database.

• Created 15+ management dashboards, insights template to analyze the customer feedback from Live Events. KCM Petrotech, India- Data Analyst/Report Developer Jan 2017 to July 2017

• Developed more than 10+ reports to support business requests and assisted in planning activities, measuring the sales performance against the plan.

• Extract data from various data sources, generate periodic and ad-hoc reports to analyze various business trends, impact of new sales initiatives on revenues and facilitate decision making process.

• Responsible for data preparation, transformation, loading and quality checks; ensured that reporting and analytics applications are operating seamlessly.

• Participated in Database Design for creation of tables, views, and stored procedures for order processing application.

ACADEMIC PROJECTS

Prediction of Kickstarter projects (Random Forest, KNN, XGboost, Ensemble Techniques, NLP)

• Machine learning model is built to predict whether the project would be successful or failure.

• Performed Sentiment Analysis on Blurb (description) of the project, considered the number of days, fund amount, country, category and achieved an accuracy of 72%. Recruitment Insights on Data Science Jobs (Web Scrapping, Python, Tableau)

• Identified the data sources, data collection and wrangling process required to generate the insights; helping students to identify the recruitment trends, key skills, and regional patterns.

• Developed impactful story telling data visualizations using Tableau features such as data blending, filters, quick filters, global/context filters, hierarchies, sets, groups, calculated fields, LOD expressions, geo Maps, dual-axis charts etc.

Classification of Disaster Tweets (Logistic Classification, Decision Tree Classifier, SVM, NLP)

• Applied Machine learning and NLP techniques to perform sentiment analysis and categorize the tweets which are related to real disaster’s and which one’s aren’t.

• Decision Tree Classifier got highest accuracy of 90% among all models. New York Energy Consumption Prediction (Plotly, Fbprophet)

• Identified and wrangled the data. Used Plotly to visualize the trends of the consumption of the energy.

• Used Fbprophet to predict the energy consumption and performed the cross validation to check the results.

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