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I have 5+ years of experience working on terabyte-scale machine learning and data science projects. I'm skilled in Python, Scala, Spark, Kubernetes, and Docker, with a strong background in big data technologies and machine learning libraries. As a quick learner with a strong work ethic and the ability to navigate ambiguity, I have a proven track record of reducing costs and processing times through innovative solutions.Skills:* Programming Languages: Python, Scala* Big Data Technologies: Apache Spark, Hive, Presto* Machine Learning Libraries: XGBoost4J, Scikit-Learn* Database Technologies* Oracle SQL on Exadata and ATP, PostgreSQL, MySQL, Google BigQuery* Tools: Kubernetes, Luigi (workflow management), Helm, Docker, Gitlab CI, Prometheus, Elasticsearch, Kibana, Grafana, Git* Cloud: Oracle Cloud (Data Flow, Vault, GenAI, Object Store), AWS (EC2, EMR, S3), Qubole* Misc: A/B tests, statistical analysis, hypothesis testing, distributed systems
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Senior Data ScientistOracle Sep 2022 - PresentAustin, Texas, Us -
Data ScientistOracle Aug 2019 - Sep 2022Austin, Texas, Us- Developed quick and efficient Python APIs to support large scale data computation while providing near real-time results- Migrated new and legacy applications to Kubernetes, Docker and Prometheus stack- Migrated CI/CD pipelines from Jenkins to Gitlab- Assisted the development of an entity resolution system for consolidating duplicate identities in Oracle's data assets- Developed a proof-of-concept knowledge graph to consolidate all of Oracle's identity data using Spark- Support and develop the Identity Graph to allow cross platform identity resolution across all Oracle Advertising products -
Graduate Teaching AssistantNew York University Sep 2018 - May 2019New York, Ny, Us -
Business Intelligence Analyst InternCbs Interactive Jun 2018 - Aug 2018San Francisco, Ca, Us• Gained expertise in the business model of content-driven revenue generation using programmatic ad sales and subscriptions• Identified behavioural differences between customer cohorts by performing exploratory data analysis using Adobe Omniture, Python and BigQuery, and defined appropriate data aggregation methodology• Created data pipelines to gather, validate, clean, and aggregate more than 5TB of transactional data from source system• Conducted extensive feature extraction, feature engineering and data standardisation using BigQuery and Python• Developed a Python based machine learning model to predict customer attrition of worth more than $650,000• Modelled a Multi-Layer Perceptron/ Artificial Neural Network using Keras on TensorFlow and performed hyperparameter optimisation using Randomized Search to enhance the predictive power by 8% -
Analytics InternMotilal Oswal Financial Services Ltd Apr 2016 - Sep 2016Mumbai, Maharashtra, In• Collated and cleaned more than 200GB of transactional data from heterogeneous sources using R and Microsoft SQL• Built and validated an R based machine learning model to predict customer attrition with up to 90% accuracy• Mentored three employees and an intern to learn statistical concepts using R• Discovered attrition related savings worth more than INR 1,000,000 and presented findings using QlikView and Tableau -
Backend Developer InternFrapp India Jun 2015 - Aug 2015Mumbai, Maharashtra, In• Rapidly developed backend merchant modules and RESTful APIs for user authentication, dynamic and static offer addition, validation and redemption using Node.js, MongoDB and an MVC framework, Sails.js• Built and interfaced an AngularJS based SPA with merchant modules using RESTFul APIs• Administered test server on AWS for evaluating alpha releases of merchant modules -
Summer InternR. D. Corporation Jun 2014 - Jul 2014• Developed a WordPress based website using AWS EC2 for hosting, Route53 for DNS record maintenance and AWS S3 for optimising content delivery• Created SEO optimised web content and pages to improve visibility and page hits• Managed the company's mail infrastructure on AWS Linux using the open source software Roundcube and sendmail
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Summer InternQdnet Jun 2013 - Jul 2013• Developed an intranet connected RaspberryPi based CCTV surveillance system for the office• Worked on optimising and deploying openELEC, XBMC, Kodi on generic Android PC sticks which preceeded Chromecast• Modified the Rockchip OS firmware for improving the CPU and the GPU clock speed without damaging the hardware
Shaival Dalal Skills
Shaival Dalal Education Details
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New York UniversityComputer Science -
Svkm'S Narsee Monjee Institute Of Management Studies (Nmims)Information Technology -
Svkm'S Narsee Monjee Institute Of Management Studies (Nmims)Technology Management (Business Intelligence And Analytics)
Frequently Asked Questions about Shaival Dalal
What company does Shaival Dalal work for?
Shaival Dalal works for Oracle
What is Shaival Dalal's role at the current company?
Shaival Dalal's current role is Senior Data Scientist/MLE at Oracle.
What is Shaival Dalal's email address?
Shaival Dalal's email address is sd****@****nyu.edu
What is Shaival Dalal's direct phone number?
Shaival Dalal's direct phone number is (212) 998*****
What schools did Shaival Dalal attend?
Shaival Dalal attended New York University, Svkm's Narsee Monjee Institute Of Management Studies (Nmims), Svkm's Narsee Monjee Institute Of Management Studies (Nmims).
What are some of Shaival Dalal's interests?
Shaival Dalal has interest in Linux And Swimming, Economic Empowerment, Big Data, Environment, Linux, Data Science, Adobe Creative Suite, Science And Technology, Cloud Computing, Swimming.
What skills is Shaival Dalal known for?
Shaival Dalal has skills like Mathematics, Marketing Management, Quality Management, Neural Networks, Consulting, Project Work, Distributed Systems, Ibm, Digital Electronics, Computer Simulation, Infrastructure, Chemistry.
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