Torrey pine lane, Union city, CA AISHWARYA PENDYALA +1-510-***-****
www.linkedin.com/in/aishwaryapendyala611 *************@*****.*** ACADEMICS:
Master of Sciences (Computer Software engineering) CSU Sacramento, CA Jan 2017 - Dec 2019 Bachelors in Technology (Computer Science) JNTUK affiliation(PEC), India Sep 2012 - May 2016 TECHNOLOGIES:
• Data analytics: Data modelling, Jupyter, Pandas, NumPy, Sci-kit learn, Matplotlib, ML (Machine learning).
• Business Intelligence: Tableau, Arm Treasure data, Salesforce cloud, Product analysis, Customer Success.
• Project management: PMO, Agile, Scrum, JIRA, LEAN six sigma, Cross functional collaboration, MS Excel, MS office, Customer support.
• Programming /Scripting languages: Python, SQL, JAVA
• Web based and Cloud: HTML5, CSS3, PHP5, JavaScript, UI-UX prototyping, HCI, Google analytics, AWS cloud, REST APIs.
• Software testing: Script Test cases, User acceptance testing, API testing, Postman, Curl, A/B testing, QA, Network Troubleshooting. WORK EXPERIENCE:
Technical Product Analyst (contract) Cloud Bigdata technologies (Debian systems client) Jan 2020-present
• (Support products) Ramping up on AWS cloud, going through training, knowledge transfer and best practices for architecting for business value.
• Data analysis on customer success, Risk management and technical support reviews. SLA and Technical documentation documentation.
• Create test cases/scenarios, validation, bug reports and test user acceptance while updating Technical documentation
• Troubleshoot and debug to fix technical issues in API and product quality checks, Raise tickets, SQL for backend validation. Business Intelligence Analyst Intern (Product strategy) 8X8,inc. (San Jose) May 2019- Aug 2019
• Analyzed customer usage trends on 8x8 cloud-based SaaS offerings such as X series, Team messaging, contact center, VOIP proprietary tools.
• Analyzed the churn and migration data of customers moving from 8x8 on prem offering to latest offerings on public clouds, forecast the risk involved provide predictions and visualization on Tableau and create reports and dashboards for business and sales team.
• Data aggregation and pre-processing on ARM Treasure data tool workflows using complex SQL queries, troubleshooting job failures.
• Define and document internal Information and data security control policy and procedural compliance. Coordinate and deliver system changes under development to fulfill business requirements and client satisfaction, validation through QA/Audit and issue tracking on JIRA. Software Engineer- Product support Reliance Industries. Pvt. Ltd (India) Oct 2015-Dec 2016
• Designed Reliance next generation internal tools and developer portals, migration of in-house web portal to cloud through SDLC project management.
• Performed Client interaction, cross functional team collaboration for requirement gathering, prototyping and testing REST APIs.
• Testing and troubleshooting server-side APIs using curl and postman, designing and documentation of APIs, user support.
• Ensure proper control on user access which included defining authentication and authorization for these APIs. Python scripting automated tests for quality assurance. User acceptance testing, reliability testing and server performance monitoring. Graduate Student Researcher Sacramento State University Aug 2018-Dec2019
• Fake consumer review detection (Masters project): Analysis to detect fake and genuine reviews from a tailored consumer review dataset created from various categories. Classification of reviews using Machine learning algorithms like Naïve Bayes, SVM, Linear SVC, Random forest, Decision trees and comparison of their accuracies.
• Data cleaning, preprocessing and natural language processing using NLTK library. Also using predefined sentiment word list for training and testing the data (80-20%). Sentiment analysis of reviews also included emoticons. Improving the accuracies with different enhancements like inclusion of emojis in the raw data, discount deception, feature inclusion. Technologies: Python 3.5, Jupyter, Sci-Kit learn, pandas, NLTK, Naïve Bayes, SVM PROJECTS:
Clash of Pokémon project Machine learning
• Clash of Pokémon is a data science project developed in Python, aims at predicting the outcome of Pokémon combats. Analyze and tune data by supervised learning approach using various ML algorithms and models to classify and make predictions. Technologies: Python 3.5, Sci-Kit learn, pandas, NumPy, Matplotlib, SVM, Random Forest All day weather application (Scrum and agile project experience) Advanced Project management
• Developed a weather forecasting web application with user stories, product backlog, tracking using JIRA and adapted them with Agile SCRUM methodology. Analysis of business value and risks for ROI along with client protocols
• UX research and design as scrum master and product owner multitasking with projects, experienced real time challenges of a software engineer. Technologies used: SDLC, JIRA, Tableau visualization, Excel, Project management principles, Task flow. Sac State parking system project Software requirement analysis and design
• Designed a real time parking structure mobile app based on business and product use case models to provide latest information on nearest available parking lots, navigation and online payment and alert notifications. Fulfilling business and technical requirements of the stake holders.
• Gathering requirements, low and high-fidelity prototype models, A/B testing and touch and click analysis. User acceptance testing by creating test cases, test plans for usability, reliability, performance, and security. Technologies used: Service now methodology and modules, Personas, JIRA, Business use case, Product use case, UML