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Reshmi Daya Vijayakumar Resume Jan 24

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Reshmi Daya Vijayakumar

reshmidaya97@gmail.com (+91)8608028625 LinkedIn

PROFILE
I am looking for a challenging opportunity in the stream of Data Engineering & Analytics with an objective to utilize
knowledge and experience gained to achieve practical excellence and subsequently contribute to the betterment of
the organization.

EDUCATION
PGP in Data Science and Engineering, Great Lakes 2021 | Chennai, India
Passed with an excellence of 85%
Master of Science in Management, National University of Singapore 2020 | Singapore
Secured distinction with 83%
Bachelor of Commerce, Women’s Christian College 2018 | Chennai, India
Secured first class with distinction of 85%

PROFESSIONAL EXPERIENCE
Maersk
Associate Machine Learning Engineer Dec 2023 – present | Bangalore, India
Building a text translation model for port and terminal tracking, integrating machine learning capabilities to

enhance translation accuracy.


Creating views for tracking trucks and container movement.

Associate Data Scientist Aug 2021 – Nov 2023 | Bangalore, India


Creating a text chatbot using OpenAI API, incorporating advanced machine learning techniques, and

leveraging generative AI to provide intelligent and context-aware responses for user queries.
Creating a custom package to enable the user to create their own airflow DAGS as per their requirements.

Developed class and utility Python packages to facilitate seamless data synchronization from Azure Data

Lakes to PostgreSQL Server, ensuring efficient data management and integration.


Implemented end-to-end replication pipelines using the Dremio Tool with Apache Arrow Flight, covering the

Extract, Transform, and Load (ETL) process for accurate and timely data transformation and migration.
Executed an ML project for Cloud Cost Forecasting, leveraging Time Series techniques such as ARIMA and

Prophet models with a Streamlit dashboard to provide stakeholders with actionable insights.
Conducted extensive Feature Engineering and Exploratory Data Analysis (EDA) on a large-scale master

dataset for enhanced data analysis and decision-making. This included feature engineering for big data and
developing a linear regression model for freight estimation to optimize freight costs.
Collaborated on integrating Spark configurations on Datalab, an in-house Data Science Platform, to enhance

data processing and analysis efficiency. This included Azure Delta Lake connection, Spark Monitor, FAIR
scheduling, Spline Lineage, Spark legacy dates, Spark Avro, Azure Key vaults, iceberg, and Hivemetastore.
Constructed customized Python wheel packages for Spark configurations, facilitating easy installation from

the Git Repository, and enabling streamlined collaboration and code management.
Assisted in metadata extraction of pipelines leveraging the Spline API and Kubeflow API, ensuring

comprehensive documentation and traceability of data transformations.


Implemented GitHub Actions on workflows to ensure code integrity, file structure adherence, formatting

consistency, and scheduled Airflow DAGs, promoting efficient development practices and project
management.
Prudential, Customer Experience & Segments (Intern) May 2019 – Aug 2019 | Singapore
Revamped all customer letters which required skills of UI, content development, and simplification.

Interactions and liaison across various teams to ensure that all the other features are available and aligned with

legal and compliance when everything is digitized.


Part of an experimental team that collected direct feedback from customers to improve the webpage

interaction and sales.

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SKILLS
Data Analytics: SQL, Microsoft Office Content Writing & Documentation
(Word, Excel, Power Point, Outlook),
Supervised and Unsupervised Machine
Python for Data Science (Numpy,
Learning Techniques and Algorithms:
Pandas)
Regression, Classification, Clustering,
Azure Workspace (DataBricks, Ensemble Techniques, Time Series
DataLake, Portal, ADX, ADF), Git and (ARIMA, Holt Winters, Prophet), Open AI
PySpark
Generative AI (ChatGPT), Docker &
Statistics: ANOVA, Chi-Square, ttest, Kubernetes, PowerBI, Google Analytics,
ztest, Hypothesis testing Agile

AWARDS
SPOT Award, Maersk Global Service Center, India Aug 2023

PROJECTS
ACADEMIC PROJECT (PGP), Vehicle Loan Default Prediction 2021
To improve financial institutions' profits by reducing losses incurred due to default of vehicle loans repayment by
the loanee /borrower using Machine Learning techniques.
DATA COLLECTION & ANALYSIS, Digital Marketing (Prudential) 2019
Collection of opinions and reactions from customers about the site landing page. On which analysis and
recommendations were made for simpler and faster User Interface designs for the web page.
DISSERTATION (UG) 2018
Find the causes of difference for the varied academic performance of the students based on the Technological Lag
in Education System between India and Other Countries.

COURSES
Diploma in Financial and Capital Markets (3 levels) 2018
Entrepreneurial & Innovative Leader, Concordia College 2018

SOCIAL SERVICE
Rotaract Club
Served 90+ hours in the Rotaract Club, a club that mainly focuses on humanitarian services.

LANGUAGES
English Tamil
IELTS Band 8.5/9

French

CO-CURICULAR
Campus Ambassador, VH1 (VIACOM NETWORK) 2017 – 2018
President of Commerce & Economics Club 2014 – 2015
President of Consumer Club 2014 – 2015
President of Interschool Activities 2014 – 2015
Active member of English Club 2010 – 2015

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