Data Machine

SAUMYA DWIVEDI ***************@*****.***

** ****** ******, *******, ******, M5A0M8 https://www.linkedin.com/in/saumya-dwivedi/ +1-236-***-**** Driven, self motivated IT professional with strong technical and leadership skills achieved via rich cross-functional experience of over 3 years. Passion for working with Big Data and Machine Learning tools to provide creative solutions and a vision to use data to tell stories and draw insights . Seeking a challenging opportunity with an organization which recognizes and utilizes my true potential while nurturing my enthusiasm and analytical skills as a Data Scientist . TECHNICAL SKILLS

Software Development: Scrum, Agile

Languages: Python, R, MySQL, Java, Objective C, HTML, C Data Science and Machine Learning: Numpy, Hadoop, Spark, Sparkml, Pandas, PyTorch, Keras, Tensorflow frameworks Data Visualization: Matplotlib, Seaborn, Plotly, Tableau, Balsamiq Tools & IDEs: Apache Hadoop, R Studio, Git, Docker, Jupyter Notebook, Xcode, IBM Bluemix Databases: RDBMS - MsSQL, SQL Server, NoSQL - Cassandra Business Analytics :Requirement Gathering and Analysis, User Stories, Use cases, BRD, JIRA, MS Office Operating Systems: Mac OS, Windows, Unix, Linux

PROFESSIONAL EXPERIENCE

Data Scientist, Scotiabank, Toronto, Canada [May’19 – Sep’19]

Engaged with stakeholders as part of AI and Machine Learning team under International Banking Department. Defined business process, problems statements and built POCs and prototyping solutions to address use cases.

Delivered customer attrition model to help marketing team identify and retain high value potential defaulters.

Built pricing model to effectively price bank products based on characteristics of specific groups of people, thereby improving profits from sales.

Successfully identified low performing branches by extensive statistical analysis and revealed underlying reason to be unusual high discounts on interest. Further base-lined an effective margin on discounts, to increase revenues. Key Project: Customer Attrition Model -Goal of this use case was to predict possible attrition in customers based on customer’s historical data.

Used SQL to ETL data from multiple data sources for data processing and to generate clean datasets.

Executed exploratory data analytics using open source libraries Numpy, Pandas, scikit-learn and matplotlib for data transformation and to analyze trends, missing values, correlations and perform feature engineering.

Training of multiple Machine Learning algorithms such as Linear regression, XGBoost, CatBoost to build model with highest accuracy for use case.

Delivered progress reports, proof-of-concepts, MVPs and collected feedback by mode of presentations to business stakeholders and external partners each sprint.

Delivered efficient customer attrition model used to focus on at-risk clients and retaining valuable clients. Business Analyst, Psiog Digital, Chennai, India [Sep’17-June’18]

Served as key liaison between client and internal team to ideate and create a new AI based product from scratch. Defined project scope, goals, and deliverables to enable successful deployment of a cognitive chat bot.

Gathered requirements and lead design and execution of all requirements and action plans including development of customer journeys and data mapping.

Conducted market research to identify technology trends and customer needs. Made improvements on design of new modules to increase customer satisfaction.

Created and implemented sprint plans and lead all scrum activities and wrote manuals to mentor trainees on the functional aspect of the new product.

Key Project: Cognitive Chat - Product aimed to automate IT Service Management help desk using AI and Machine Learning based services provided by IBM Bluemix.

Elicited, analyzed, prioritized, and documented business and functional requirements from multiple business leaders to create a help desk platform with AI based cognitive chat bot.

Developed functional prototypes and sample chat bots for all modules using IBM AI Watson Services. Collaboration with SMEs and consulting with them to build all sample chats/text scenarios to be installed in the product.

Collaborate work with testing team, defined test strategy, user acceptance test, evaluated system performance, conducted user acceptance test which resulted in successful deployment of the product. Business Analyst, Payoda Technologies, Coimbatore, India [Feb’16 -Sep’17]

Collaborated with diverse teams including business, technology and product partner to gather, document and validate business insights and requirements to successfully handle end to end delivery of project modules.

Implemented sprint plans and software process improvements for better operations. Created service delivery metrics to monitor compliance with the requirements. Key Project: Virtual Health Care Platform - Health care platform, for users to record health related data via wearable devices such as Fitbit and get customized, health care support from expert caregivers.

Translated client requirements to user stories, requirement documents and process flows.

Defined and implemented the addition of a new, user customized module for product to improve product sales. Software Engineer, Payoda Technologies, Coimbatore, India [July’15- Feb’16]

Handled end-to-end design, development and maintenance of secure chat application by suing hands on approach.

Coordinated with business team to undertake ad hoc requests and engaged with stakeholders to demonstrate successful functional prototypes and sprint deliverables. Key Project: Patient Chat - Native iOS Mobile chat application for health care domain based on XMPP framework.

Implemented text chat, media sharing (video & images), sensitive message archiving and secure EMR integration by coding in Objective C to successfully deliver chat application. EDUCATION

MSc. Computer Science, Specialization in Big Data (GPA: 3.6/4.33) [Sep’18- Dec’19] Simon Fraser University, Burnaby

Coursework: Machine Learning, Programming in Big Data, Design and Analysis of Algorithms, Data Mining, Statistics - Statistical Analysis and Prediction, Visualization and Visual Analytics Bachelor of Technology, Software Engineering (GPA: 8.9 /10) [Aug’11 - May’15] SRM University, Chennai, India

Coursework: Data Structures and Algorithms, Software Architecture, Operating Systems, Probability and Queuing Processes, Discrete Mathematics, OOP and Software Project Management ACADEMIC PROJECTS

Baby Cry Analysis, MSc. Computer Science, Specialization in Big Data, SFU [Dec 2018]

Implemented deep learning to classify crying sound events into different categories which represented probable reasons of a baby’s cry.

Extracted crying baby audio data from donate a cry and used Data augmentation was used to solve class imbalance.

Base model used to design this activity was CRNN (combination of CNN and RNN) network.Ran methodical experiments using LSTM, GRU, Bidirectional LSTM, attention model to get model with high accuracy.

#MeToo Data Analysis, MSc. Computer Science, Specialization in Big Data, SFU [March 2019]

Analyzed the #MeToo dataset with the aim to bring awareness about the movement and identifying patterns which could potentially help NGOs and security agencies who work towards promoting this movement.

Used twitter API to collect tweets and created a crawler on scrappy to scrape Instagram data.

Implemented community clusters using graphical analysis to group people of similar behaviors, and emotions.

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