SNEHAMEENA ARUMUGAM

Predictive Modelling (AI/ML) | Integration/Deployment/CICD☁️ | Automation Dev🤖 | AWS Cloudverse📦

Summary

  • 5+ years of expertise as a Full Stack web Developer in JAVA, Python, PHP
  • 3+ years of expertise in Data Science using Python (SQL/RedShift/Postgre, Keras/TensorFlow, Pandas/Scikit, MlFlow, AWS SageMaker)
  • Experience in Statistical Analysis & Viz using Power-BI|Tableau|Spotfire
  • Proficiency in AWS cloud services and solutions.

    • About Me
    With 7+ years spanning Shipping, IT, E-commerce, and Energy, I offer a dynamic blend of technical development and data science skills. Adept at managing tasks seamlessly under pressure, I excel in customer relationship management, proactive troubleshooting, and creative problem-solving. As both a dedicated team player and a proactive leader, I promise to bring efficient organization and continuous growth to every endeavor.
    My Typical Day

    SKILLS

    CODING

    Python
    Java
    PHP
    HTML/CSS/Jquery/React-JS
    RESTFull Webservices

    Frameworks/Pipelines


    Data Visualization

    Power BI
    Spotfire
    Tableau
    Pandas,Matplot,ggplot,Scikit,Plotly

    OS

    Windows
    Linux (Debian, Kali)

    Professional Experience

    Data Scientist

    SWIRE BULK

  • Currently developing a Chatbot powered by GPT-4 model(Open AI) that provides real-time updates and Market insights for natural language processing and generation, based on user queries.
  • Developed ETL Pipelines and ML models to forecast upcoming Baltic Market Pricing using AIS Satelites Positioning Time-series Dataset.
  • Developed automation scripts using Python and AWS Glue Jobs.
  • Data Analysis and Visualization Tools used: Power-BI, Tableau, Spotfire.
  • ML models Implemented: Random Forest, XG Boost, K-means clustering.
  • Expertise knowledge in AWS Cloud Services and Products.
  • Utilized TensorFlow, Sci-Py, NumPy, pandas, pySpark and Keras libraries to develop Deep-NN, Regression, Clustering & Random Forest Classifiers/Regressors
  • Proficient in crafting SQL queries for MySQL, Postgre and AWS Redshift DB.

    • Oct 2021 - Present

    Cyber-Security Risk Analyst| Data Scientist Intern

    LAZADA

  • Data Extraction Libraries Used : Scrapy, Twitter-API, Reddit API.
  • Data Visualization Framework used: Jinja Framework and Tableau
  • Deep learning models worked on: CNN, RNN, Bert using Keras
  • Worked on Dark Web Data Mining and Research Project to administer CyberSecurity Health of the data.

    • Apr 2021 - Aug 2021

    Dissertation Student(Data Science)

    Nanyang Technological University

  • Hands on Knowledge in Data mining , ML and Deep Learning Algorithms.
  • Python Libraries Knowledge - Python3.x, Pandas, Numpy, Pytorch, Scikit.
  • Data Visualization Knowledge - Plotly, Matplot, SeaBorn, Bokie
  • Data Extraction Libraries: BeautifulSoup, Scrapy, Selinium, TwitterAPI.
  • Mining Tools Knowledge: RapidMiner Studio, Weka, Tableau,Power BI.
  • Search Algorithms: SPIMI, BSBI, Compression & Ranking Techniques.

    • Aug 2020 - May 2021

    Technical Team Lead

    ROYAL DUTCH SHELL

  • Expertise in building E-commerce Application using Java and Spring-Boot MicroServices Framework.
  • Developed User Interface using Javascript, React-JS, HTML,CSS.
  • Hands on Experience in Share-Point, JIRA,Confluence, VS.
  • Led the Design and implemented API Architecture for Aviation Markets, which increased the revenue by $400K/year
  • Involved in Process Audit and provided Legal Technical solutions for the Organization.

    • Mar 2018 - Aug 2020

    Software Engineer

    WIPRO TECHNOLOGIES

  • Worked across different Platform from JAVA to AEM.
  • Developed Web Applications using Javascript, React-JS, HTML,CSS. as UI and JAVA as backend incorporating RESTFul Webservices
  • Hands on Experience in Share-Point, JIRA,Confluence, VS.
  • Certified in AEM - CQ Developer Level.

    • Dec 2014 - Mar 2018

    ALMA MATER

    M.S INFORMATION SYSTEMS (Data Science)

    Nanyang Technological University, Singapore
    Thesis Title: Emotional analysis, Visualization and System Integration of Nuclear Energy Tweets.
    Supervisors: Assoc Prof Na Jin Cheon (NTU) Programme Director, MSc in Information Systems
    Grade: CGPA: 4.1/5
    2020 - 2021

    B.E INFORMATION TECHNOLOGY

    Anna University, Chennai
    Thesis Title:Privacy Preserved Crowdsource Recommendation
    Grade: CGPA: 8.2
    2010 - 2014

    PASSIONS & CURIOSITIES

    DATA EXTRACTION AND VISUALIZATIONS

  • I possess a strong enthusiasm for web data scraping, coupled with a keen interest in implementing impactful visualizations. My GitHub repository showcases a collection of code examples, featuring data extracted from diverse websites, which further underlines my dedication to this field.

    • AI/ML (Hackathons & Personal Projects)

  • I always find joy in trying out various Machine learning projects. I have participated in ICADL(International Conference on Asia-Pacific Digital Libraries) Paper Presentations to present our topics on Aspect Based Sentiment Analysis on Nuclear energy Tweets

    • AI/ML (HACKATHONS & PERSONAL PROJECTS)

  • I always find joy in trying out various Machine learning projects. Recently, participated in Datathon and built a ML model to predict 30 Day Mortality of Critically Ill Liver Cirrhotic Patients using the MIMIC IV data-set with an accuracy of 87\% using the patient's dynamic lab results
    • © SNEHAMEENA