Developer Intern Data Scientist

Shuvrajyoti Debroy

** ***** ********** ******, *********, MD 21229 ****.***@*****.*** +1-667-***-**** LinkedIn linkedin.com/in/shuvrajd GitHub https://github.com Towards DataScience https://medium.com/@shuv.sdr EDUCATION

University of Maryland, Baltimore County Maryland, USA Master’s in Data Science Expected: December 2023

JIS College of Engineering Kolkata, India

Bachelor’s in Computer Science August 2016

WORK EXPERIENCE [6+ years]

Vubiquity Limassol, Cyprus

Business Intelligence Developer January 2020-August 2022

• Built, trained, and managed high-quality machine learning models using Azure ML to analyze and predict various business insights

• Automated hyperparameter tuning with Azure AutoML jobs enhanced models' flow, scalability, efficiency, and productivity

• Solved Data Warehousing and Business Intelligence requirements using Azure/AWS cloud for content providers, film studios

• Analyzed data with Azure Databricks, and Stream Analytics and integrated with an interactive dashboard impacting the company revenue

• Developed and introduced 20+ serverless solutions in production with Azure Functions, AWS Lambda, and NoSQL Amdocs Pune, India

Data Engineer August 2016-December 2019

• Architected ETL infrastructure for client AT&T in the Sales and Marketing team of more than 40 members with agile methodology

• Designed and created transformations, workflows, and mappings in Azure Data Factory, Amazon Redshift, EMR, and Databricks

• Coded shell scripts in Linux/Unix servers in a DevOps environment along with Git version control, and CI/CD pipelines

• Served as a team lead of 15 members on a cloud project with data transformation and analytics Techmonastic Solutions Kolkata, India

Full Stack Developer January 2016-July 2016

• Developed e-commerce and learning management websites with J2EE/MVC servers along with Javascript/CSS/Angular and MySQL/Oracle IBM Kolkata, India

Java Developer Intern June 2015-July 2015

• Prepared an IBM enterprise webapp for online shopping including designing, data management, and deployed it in a cloud environment PROJECTS AND RESEARCH

Deep Learning with CNN + LSTM December 2022

• Implemented a CNN and LSTM Deep Learning neural network classification model using PyTorch and Natural Language Processing (NLP) to predict genres from movie posters and descriptions with an accuracy score of 94% and deployed it to a real-time endpoint Exploratory and Predictive Data Analysis October 2022

• Worked on exploratory data analysis and visualization across 50+ datasets and complex business problems as well as predictive analysis with various machine learning regression and classification algorithms with high precision of accuracy Credit Card Fraud Detection September 2022

• Detected frauds in credit card transactions with an accuracy above 90% using XGBoost classification algorithm over a large and complex dataset as part of a Financial Data Science project Amdocs Innovation January 2020

• Created a voice-enabled workspace as an Innovation Agent in Amdocs with Alexa for Business integration to which employees can interact and perform various activities and automation on the office premise TECHNICAL SKILLS

Business Intelligence Data Science, Machine Learning, Data Engineering, Data Analytics, Power BI, Big Data, Tableau Cloud Platform Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP) Programming Python, Scala, C++, C#, Java, PHP, PL/SQL, NoSQL Database SQL Server, MySQL, Oracle, Teradata, Vertica, IBM DB2, Cosmos DB, Dynamo DB Framework/ Library PyTorch, TensorFlow, PySpark, SciPy, Hadoop, Pandas, NumPy, Keras, OpenCV, Matplotlib, ScikitLearn, NLTK Software/Tool Microsoft Word/Excel, Visual Studio Professional, Azure DevOps, Jira, Jenkins, Git Web Development J2EE, ASP.NET, HTML5, CSS3, JavaScript, jQuery, AJAX, WordPress, Angular, NodeJS, RestAPI CERTIFICATIONS

Microsoft Certified: Azure Data Scientist – Associate Microsoft Certified: Azure Data Engineer – Associate AWS Certified: Solution Architect – Associate

EXTRACURRICULAR ACTIVITIES

Microsoft Student Partner April 2014-April 2016

• Engaged as a Microsoft Student Partner, along with 800+ students, participated in 100+ Microsoft events including seminars, workshops, bootcamps, and builds, developed 20+ applications, 250$ Azure credit every month as a reward, good exposure to the latest technologies RELEVANT COURSEWORK

Data Scientist, Data Engineer, Business Intelligence Developer, Cloud Architect, Python Programming, Management, Full Stack Developer, Azure/AWS Developer, Innovation Enthusiast

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