Monica A. Email & Phone Number

Pittsburgh, Pa, Us

New York, Ny, Us

Bentonville, Arkansas, Us

• Led development and delivery of company-wide live status page under tight deadlines which reduced major incident triage time• Conceptualized and developed observability products using which reduced time to recover to under 5 minutes• Implemented GraphQL based server and standardized schema for data consumption by disparate SRE products• Convened and facilitated weekly team meetings to discuss progress and identify areas for improvement• Collaborated with product managers and UX designers to conduct customer interviews and gather requirements• Coached and mentored junior engineers on best practices for implementing effective unit and integration tests, resulting in increased code quality and decreased defect rates• Facilitated code reviews and led discussions to establish development and test code standards• Implemented authentication and single sign-on capabilities using PingFederate, enabling seamless access to multiple applications with enhanced security protocols• Created web application to allow business users to train ML models , providing option to set model parameters

Bentonville, Arkansas, Us

• Trained and deployed time series forecasting models using SARIMAX that were used to predict RHEL subscriptions for next 1 year• Developed dashboards using Grafana for monitoring build success rate • Created visualizations illustrating distribution of mean time to resolve (MTTR) metric that aided in baselining SLAs• Designed, developed and standardized ETL using Python, Docker, Jenkins and PostgreSQL of compute devices dimensions and metrics from cross domain and disparate data sources• Established that compute usage by stores checkout fraud detection services were not significantly different • Aided a 2% cut in expenses on OS subscriptions by presenting a comparative visualization • Designed, developed and led the standardization of data architecture for Core infrastructure Services

Mclean, Virginia, Us

• Trained deep learning model using PyMongo and unstructured data from NoSQL, replacing rule-based NLP tagger• Implemented NLP tagger model using Facebook fastText and XGBoost, to perform classification with 78% accuracy• Presented results of classification and insights about the data model structure to product owners, analytics team, client, application engineers and other stakeholders• Deployed model using Flask, creating an end-to-end architecture of the model component in the system• Enhanced the deployed component to utilize JSON Objects as inputs and outputs resulting in better compatibility with the existing system• Implemented lemmatization and stop word removal using spacy and NLTK, increasing accuracy by 2%• Performed feature engineering, deriving ideas from Gini coefficient and experiment design for Mann Whitney test, increasing accuracy by 2%• Performed web scraping using BeautifulSoup to obtain expansions of domain - related acronyms which led to creation of new data libraries in the organization’s database

TA for Data Warehousing course at HeinzGrading papers and homeworkHolding office hours to explain concepts of data warehousing, dimensional modelling, SSIS and SSAS relevant to the coursework and from my experience

Bangalore, Karnataka, In

Retail Client:Provided data warehousing, ETL, KPI reporting solutions for a multinational CPG client's market run promotion dataEnsured loading of accurate product, customer data by implementing data cleaning mechanisms like lookups with master data, duplicate and null checks, leading to reporting of accurate promotion performance KPIReduced defects to less than 2% by performing unit & integration testing on ETL, Reporting, OLAP SolutionsReduced report generation time by 30% by performing ETL and SQL performance improvement leading to faster generation of reports Created and deployed Excel based extracts and SSRS reports to report KPI values and customer metricsCreated reports from cubes by writing MDX queries. Finance Client:Provided Data warehousing solutions for hedge funds and securities dataDesigned ETL packages dealing with different data sources (SQL Server, Flat Files etc.)Internal Projects:Created Tableau and Power BI Dashboard for company HR to gauge employee utilization metricsAdditional Training:Received 3-month training in data warehousing, ETL, SQL, Datastage, SSIS, SSAS & SSRS

Bangalore, Karnataka, In

Resolved issues related to access, privilege granting, disk quota allocation increase, server restart as a Linux Server adminMonitored and managed tickets queue ensuring 100% high priority tickets were closed within service level agreement (SLA)Served as an escalation point for junior administratorsSuccessfully completed Infosys foundational training in Operating Systems, Java, HTML, CSS, SQL, ITSM, Linux OS, Linux and Windows client and server administration

Implemented Microwave sensitivity Time Control in the c- band receiver- exciter of weapons locating radar

Master'S Degree, Business Intelligence And Data Analytics

Nanodegree, Programming For Data Science With Python

Bachelor'S Degree, Telecommunications Engineering