Data Analyst

Devasena Vangavolu

LinkedIn GitHub Blog *************@*****.*** +1 (281) - 745 - 3445

EDUCATION

Masters in Computer Science May 2021

University of Houston, Texas Gpa:3.76/4

Courses: Machine Learning, Data Mining, Big Data Analytics, Security Analytics, Research Design of problems in Business Analytics, Artificial Intelligence, Digital Image Processing. Bachelors in Electronics and Communication Engineering May 2018 Jawaharlal Nehru Technological University, India Cgpa:9.26/10 SKILLS

Programming Languages: Python, R, C Project Management: JIRA, Agile Methodology Databases: Oracle 10i, SQL, Postgres, Cassandra Scripting Languages: PHP, Java Script, HTML, CSS Visualization Tools: PowerBI,Tableau, Qlik Data Science Frameworks: Tensorflow, Keras, Scikit-learn Cloud Tools: Azure, AWS (S3) Analytical Tools: MS Excel (VLOOKUP, Pivot Tables, Looker, graphs) NLP Tools: Sklearn, Spacy, NLTK, Gensim Big Data Tools: Spark, Hadoop, Google BigQuery, Pyspark PROFESSIONAL EXPERIENCE

Data Analyst and Website Developer, ISSSO – University of Houston, US Dec 2019

• Develop Interactive Dashboards and Provide technical assistance in maintaining essential department IT resources and debugging technical malfunctions in departmental hardware/software in PHP.

• Interpret data to identify key metrics and analyze data into consistent visualizations and reports using Tableau.

• Developed an application to calculate full time CPT for all the students using HTML and Java Script.

• Design self-report OPT application for all the international students using Google Forms. Data Science Developer, Tata Consultancy Services – Chennai, India June 2018 – July 2019

• Performed statistical analysis of insurance claim data includes visualization, correlation between different components, density estimation and detection of fraudulent claims using Anomaly Detection techniques.

• Implemented text classification model for PDF insurance template documents using Word2Vec with80%accuracy.

• Extraction of Keywords from PDF documents using TF-IDF technique. Worked on future estimation of insurance claims using Time series forecasting techniques like ARIMA.

• Led a team of 5+ people and supervised and monitored the statistical analysis project and prioritize the work which leads to optimization of time and work and handled multiple and simultaneous tasks. DATA SCIENCE ACADEMIC PROJECTS

Fake News Detection - Python (UNIVERSITY OF HOUSTON) MAR 2021

• Built a Fake News Detection system by using TF-IDF Technique along with Random Forest Algorithm and word2vec technique along with Neural Networks for Liar, Liar Pants on Fire Dataset. Cross dataset Experiment is done and evaluated the data quality for each dataset and observed increase in accuracy of 8%. Data Mining and Prediction Analysis of PIMA Diabetes - Python, R (UNIVERSITY OF HOUSTON) DEC 2020

• Spearheaded a model to classify whether a patient has diabetes or not and used Python and R to scrape, clean and analyze 768 records. Performed Feature Engineering, Algorithm selection and evaluation, hyper parameter tuning.

• Data Mining Analysis includes Identifying incomplete data, gathering missing and accurate data, Outlier Detection, Exploratory Data Analysis, Prediction Analysis includes KNN, Decision Trees, DBSCAN. Built models, visualized data to identify patterns.

Protein Sequence Alignment- PySpark (UNIVERSITY OF HOUSTON) NOV 2020

• Developed an alignment technique to compare protein sequences to all entries in 9GB csv file using PySpark and fine- tuned for finding best alignment. Execution time is measured by varying number of executors and num of partitions. CERTIFICATIONS

Coursera – Machine Learning, Neural Networks and Deep Learning LinkedIn – Artificial Intelligence Foundations: Neural Networks

ACTIVITIES AND ACHIEVEMENTS

Client appreciation Award from Cedar Rapids, USA.

Volunteered in Parichay and Maitreyi at University of Houston. Volunteered in check-ins and orientations of International students at University of Houston.

Contact this candidate