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Data Analyst

Location:
Syracuse, NY
Posted:
October 14, 2020

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Resume:

YESASWI AVULA

517-***-**** adgzec@r.postjobfree.com https://www.linkedin.com/in/y-avula

https://yavula.wixsite.com/yesaswiavula https://medium.com/@yesaswia EDUCATION

Master of Science in Applied Data Science GPA: 3.67 School of Information Studies (iSchool), Syracuse University Aug 2018 - May 2020 Bachelor of Technology in Computer Science Engineering GPA: 3.81 Jawaharlal Nehru Technological University, Kakinada. Aug 2014 - May 2018 TECHNICAL SKILLS

Programming: Python, R, Java, Shell Scripting

Analytical: Rapid Miner, Weka, Advanced MS Excel, Databricks, StatTools, Pivot, Power BI, Tableau, Rcmdr, Google Analytics, Factor Analysis, SAS

Big Data: Apache Spark, Hadoop, Map Reduce, AWS Redshift, AWS EMR, Pig, Hive, AWS Glue Database Related: MySQL, SSMS, Mongo DB, SSIS, SSAS, Access, Visio Tools and frameworks: AWS, Eclipse IDE, GitHub, Docker, Anaconda, Elasticsearch, Logstash, Kibana, Informatica WORK EXPERIENCE

Graduate Teaching Assistant School of Information Studies Syracuse Aug 2019 – May 2020

● Mentored nearly 200 students in descriptive, predictive, and prescriptive data analysis increasing the average class percentile by 18% YOY

● Tutored to preprocess and make the data 90% clean, build regression & classification models and advanced ggplots using R programming Artificial Intelligence Lead iConsult Collaborative Syracuse University May 2019- Present

● Established an Artificial Intelligence based chatbot using IBM Watson to answer logical data science and critical thinking questions

● Developed nudge-based assistant and used these records to discern a solution for a case study having a ‘Correlation Vs Causality’ problem.

● Used an agile approach for project management and met the deadlines with above 95% accuracy and reduced project time by 150 hours Data Analyst Mindkraft IT Consulting Hyderabad, India Nov 2017- Aug 2018

● Collaborated on Exploratory and Statistical Analysis, big data preprocessing to perform machine learning techniques using R and python

● Forecasted daily average flight delay, probability of delay with type of delay as major goal and predicted the unseen data with 70% accuracy

● Improved the airline revenue by at least $4 million per plane per year. ACADEMIC PROJECTS

Data Warehousing (Business Intelligence)

● Modelled a business intelligence solution for an online shopping and movie rental databases using Kimball’s data warehousing approach

● Performed data profiling, bus matrix, high level and detailed dimensional worksheets, ETL with SQL Server Integration Services,

● Formed MOLAP(cube-MDX) from ROLAP(star schema-SQL) with SQL Server Analysis Services to communicate with a business user.

● Elucidated the business processes by creating a retail dashboard using Power BI and advanced excel for a lame customer to use it easily Business Intelligence Dashboards Using AWS

● Demonstrated POC on AWS Big Data services by streaming large data into AWS Redshift and AWS S3 using Kinesis Data Firehose

● Developed business intelligence solutions using AWS Glue for ETL purposes.

● Monitored metrics using AWS Cloudwatch by creating dashboards to visualize and alter the results Big Data Analytics – Airbnb Host Rating Optimization

● Hosted an 80% Optimized Model on Azure Databricks to improve ratings of an Airbnb house with python data structures, data frames

● Built spark data pipelines for regression using decision trees, random forest, ols models and employed gradient boosting for cross-validation.

● Performed statistical data analysis and used python visualization libraries and Tableau to evaluate the variables.

● Applied parameter tuning and feature importance to the models using data pipelines to increase model accuracy by 87% Natural Language Processing – Text Summarization

● Performed research on different supervised and unsupervised methods to capture the gist of huge data to save time and energy in going through the whole data at times and implemented an extractive method with graph-based PageRank algorithm

● Applied tokenization, regular expressions, lemmatization, pos tagging, stopwords, formed a matrix to find the cosine distance CERTIFICATIONS

● AWS Certified Solutions Architect Associate, AWS Certified Cloud Practitioner

● Tableau Certified Desktop Specialist



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