SHRIYA CHANDRASHEKAR RAO

Santa Clara, CA *****, 408-***-****, adch86@r.postjobfree.com

linkedin.com/in/shriya-rao-msba/, github.com/shriya22 EDUCATION

Santa Clara University, Leavey School of Business Santa Clara, CA Master of Science in Business Analytics March 2020

• GPA: 3.75/4.0

• Course Work: Data Visualization and Dashboards, Database Management Systems, Big Data Analytics, Data Science with Python, Math for Finance and Analytics (Linear Algebra, Probability, Calculus, Statistics), Machine Learning with R, Time Series Analysis, Marketing Analytics, Cloud Computing, Global Supply Chain. NMAM Institute of Technology Karkala, India

Bachelor of Engineering in Computer Science and Engineering June 2018

• GPA: 3.7/4.0

• Awarded first place among 30 teams for senior year project: "Feature Extraction for Speech Classification". SKILLS

Programming Languages and Tools: Python, R, SQL, Microsoft Excel, SAS, Tableau, Power BI, Google Analytics, MapReduce, Hadoop, Spark, HIVE, PIG.

Analytics: Data Visualization, Statistical Analytics, Feature Engineering, Machine Learning Algorithms (Regression, Classification, Clustering, Ensemble Models, Neural Networks), Supervised and Unsupervised Learning, Data Mining, Predictive Modeling, Natural Language Processing, Deep Learning (TensorFlow, Keras), A/B Testing, Web Scraping, Data Engineering. LinkedIn Certifications: Applied Machine Learning Foundation and Algorithms, Deep Learning: Image Processing, Learning Excel for Data Analysis, Excel Macros and VBA for Beginners, Advanced SQL for Data Science. PROFFESIONAL EXPERIENCE

Atollogy Inc. Santa Clara, CA

Data Analyst Intern, Practicum Student Jan 2019 - Dec 2019

• Performed data cleaning, feature engineering and used machine learning models to implement root cause analysis in Python.

• Optimized data merging performance to increase information gain by 4% using Fuzzy Matching.

• Improved operational efficiency and enabled customer satisfaction by saving 6% time and resources by recognizing relevant pain- points through Anomaly Detection and Outlier Analysis.

• Provided weekly dashboards and reports generated from analyzing sensor data in Python and Tableau; presented findings to clients.

Vistalytics Inc. Santa Clara, CA

Data Science Intern Jun 2019 - Sept 2019

• Implemented new strategies and tested indicators for predicting prices that led to 60% wins from buying and selling Stock Options.

• Built insightful visualizations and enabled easy access to clients using Python, Tableau and R Shiny.

• Automated the process of extracting historical price data by web scraping using Selenium and Beautiful Soup to capture real time information.

• Improved data quality by distinguishing incorrect and missing values through Anomaly detection; communicated impact of insights to team lead.

• Handled large volumes of data and optimized code for effective performance; reduced execution time by 5%. Robert Bosch Engineering and Business Solutions Private Limited. Bangalore, India Software Engineer Intern Jun 2017 - Jul 2017

• Deployed data access module to allow easy data storage and access using hibernate template and SQL. ACADEMIC PROJECTS

Fraudulent Credit Card Behaviour Prediction: Boosted predictive performance of recall from 74% to 93% and precision from 59% to 78%; achieved through ensemble model Xgboost; handled imbalanced data by oversampling the minority class using SMOTE; accounted for over fitting using Cross Validation technique. Job Descriptions Improvement: Identified important metrics and extracted features from a large set of job descriptions; implemented various Natural Language Processing techniques to discern possible areas of refinement and provide insightful recommendations. Amazon Fine Food Reviews: Applied text mining and extracted features to evaluate what words make a review useful/helpful; employed Lasso Regression and Random Forest to analyze importance of certain features that help determine usefulness. Online Food Delivery Database: Created a business model and identified use cases and metrics for online food delivery system; generated complex queries using SQL to analyze data and provide information on customer retention, churn and acquisition; Presented insights by creating visualizations and dashboards in Tableau. Climate Change Time Series Modeling: Proved that North America is heating up over the years in a significant way by conducting statistical analysis with t-test and Regression; produced forecasts of volatility for temperatures using ARCH, GARCH and EGARCH models; predicted temperatures using SARIMA, ARIMA and Holt Winters.

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