Science Intern Research Assistant

Shreya Hagalahalli Shrinivas

** ******* ***, ******, ** 92614 408-***-**** **********@*****.*** https://github.com/shreyahs https://www.linkedin.com/in/shreya-h-shrinivas-profile/ EDUCATION

Master of Science in Computer Engineering, Data Science: San Jose State University Jan 19 – Dec 20 Coursework: Machine Learning, Large scale analytics, Database Management Systems, Data Mining Bachelor of Engineering in Electronics and Communication: Bangalore Institute of Technology Aug 13 – Jun 17 Coursework: Computer Architecture, Operating Systems, Data Structures, and algorithms in C++ SKILLS

Programming Languages: Python, SQL.

Database/Cloud Technologies: MySQL, SQL Server, Oracle, Snowflake Machine Learning Libraries: Pandas, NumPy, SciPy, NLTK, TensorFlow, Keras, Scikit-learn, PyTorch, Matplotlib, Scrapy. Tools: Tableau, Power BI, Jupyter Notebook, Google Analytics, AWS Sagemaker, SharePoint, MS Excel, Jira, Git. PROFESSIONAL EXPERIENCE

Data Analytics Associate Cisco San Jose, CA Jun 21 – Present

• Defined metrics to score the performance of Cisco Webex products for monthly reporting to stakeholders.

• Wrote SQL scripts to automate analysis of subscription renewals and migrations in snowflake. Created KPIs in Power BI to monitor the performance of various SaaS products.

• Developed python code to automate the processing of financial data and invoice generation resulting in 90% speedup in monthly reporting.

• Performed data cleaning and feature extraction in Python to analyze the attributes that add to high product deal cycle time.

• Removed outliers from deal data reducing average deal cycle time by 46 %.

• Manage monthly meetings with the business support team to provide significant findings on product case/feedback data in order to increase customer and partner satisfaction.

• Designed and scheduled reports on Tableau server to provide timely insights on customer case count, deal cycle time, meetings usage, and customer and bookings growth.

• Established cross-functional relationships with Operations leaders, Data Scientists, Product Managers, Software Engineers and support team to better understand and meet data requirements. Research Assistant San Jose State University San Jose, CA Mar 21 – Jun 21

• Analyzed the performance of various Neural Network implementations on execution in GPU.

• Performed statistical analysis on student record to identify patterns of students' performance and predict students whose performance is at risk.

Data Science Intern Launchpad.AI San Francisco, CA May 20 – Aug 20

• Designed an interactive dashboard in Tableau to visualize various metrics on customer subscription data.

• Wrote python code to scrape all product details and images from client website using scrapy. Performed image and data processing utilizing libraries Pandas, NLP, OpenCV and Pillow.

• Implemented a joint visual textual embedding in python for multimodal style search with ResNet model. Application Development Associate Accenture Bangalore, India Jan 18 – Dec 18

• Scripted SQL queries to retrieve cross-functional data from oracle database. Developed and automated business report on SAP Business objects achieving 70 % acceleration in data reporting and data visualization.

• Created interactive dashboards on business performance and financial metrics in Tableau and Power BI for analyzing trends and anomalies to provide scope of strategic opportunities.

• Support ad-hoc data analysis or reporting needs from the teammates and stakeholders. ACADEMIC EXPERIENCE Jan 19 – Dec 20

LSTM Neural Networks for Stock Market Predictions [Tableau, Python, Pandas, Keras, LSTM, scikit-learn, matplotlib]

• Built a deep learning model in Python with mean square error of 1.90 to predict the closing price of stock for next day. Health Insurance Database Design [MySQL, ERD, Relational Schema, Normalization, Stored procedures, triggers]

• Designed database of health insurance in MySQL for processing of insurance claims.

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