Hey 👋

I'm Agash Uthayasuriyan, a passionate explorer in the world of data

I'm currently working as a Data Analyst at IDEXX and am also pursuing a Masters in Information Systems degree at Northeastern University, specializing in Data Engineering and Analytics.

I enjoy diving into new challenges and expanding my knowledge. Whether it's learning a new concept or navigating hurdles, I'm committed to continuous growth.

My Skill Set

  • Data Engineering

    Proficient in building data pipelines, using in cloud technologies such as AWS, GCP, Azure and in tools such as Snowflake, Databricks, Docker, Airflow, Kafka, SQL and NoSQL Databases

  • Data Analysis

    Adept at querying data using SQL, performing business analysis and developing BI dashboards. Experienced in data modeling and in tools such as Talend, ERStudio, Alteryx

  • Data Science

    Possess a strong foundation in probability & statistics, coupled with knowledge on supervised & unsupervised algorithms, LLMs and essential libraries

  • Research

    Skilled at crafting innovative AI solutions, leading research teams to improve predictive capabilities of ML algorithms, and experienced in publishing research articles

Resume

    • Education

    1. Master of Science in Information Systems

      Northeastern University - Boston, MA, USA | Sept. 2023 - Exp. May 2025

      Specializing in Data Engineering and Analytics

    2. Bachelor of Technology in Electrical and Computer Engineering

      Amrita Vishwa Vidyapeetham - Coimbatore, TN, India

      Graduated with First Class - Academic Distinction

      Course Work: Data Structures and Algorithms, Machine Learning, Soft Computing, Big Data Analytics, Social Network Analysis, and Cloud Computing

    Experience

    1. Data Analyst

      IDEXX, Westbrook, MA, USA | June 2024 - Present

      DBT (Data Build Tool), SQL, Snowflake, Tableau, JIRA, Confluence, Python, ETL pipelines, business data analysis, User Acceptance Testing (UAT), Agile Principles

    2. Data Science Teaching Assistant

      Northeastern University, Boston, MA, USA | Jan. 2024 - Apr. 2024

      Machine Learning (Supervised, Unsupervised), Statistics (Inferential, Descriptive), A/B Testing, Feature Engineering, Exploratory Data Analysis (EDA), Hyperparameter Optimization, Model Interpretability, Large Language Models (LLM), Retrieval Augmented Generation (RAG)

    3. Data Engineer

      Mekala Transports, Chennai, TN, India | Jun 2022 - Jun 2023

      Data Pipelines (ETL, ELT), Talend, Azure Data Factory (ADF), Data Integration (CSV, XML, JSON, APIs), Data Warehouse, Alteryx, Pandas, Data Modeling , Slowly Changing Dimensions (SCD), Business Intelligence Dashboards (Tableau, PowerBI), Predictive Analytics

    Skills

    1. Programming Languages : Python, SQL, Java, R, Scala

    2. Databases (SQL & NoSQL) : SQLite, MySQL, MongoDB, Cassandra, PostgreSQL, MongoDB

    3. Data Services : Data Mining, Data Analysis, Data Pipelines, Database design, Data Modeling

    4. Data Visualization & Data Analytics : Statistics, Matplotlib, Seaborn, Tableau, PowerBI, Alteryx

    5. Cloud Technologies : Snowflake, Databricks, GCP, Azure, AWS S3, EC2, Lambda, SQS, SNS, IAM

    6. Libraries : TensorFlow, Pytorch, Pydantic, Pytest, Streamlit, BeautifulSoup, Selenium, Hadoop

    7. Tools : Apache Airflow, Kafka, PySpark, DBT, Git, Docker, CI/CD, Linux, FastAPI, MS Excel, Talend

    8. Certification : AWS Cloud Practitioner

    Publications

    1. Adaptive Hybridization of Differential Evolution and DQN - Reinforcement Learning to Solve the Influence Maximisation Problem in Social Networks Link for paper

    2. Social Network Link Prediction Using Differential Evolution Based Extreme Gradient Boosting Algorithm Link for paper

    3. Flow Pattern Prediction in Horizontal and Inclined Pipes using Tree-Based Automated Machine Learning Link for paper

    4. Performance Evaluation of Evolutionary Algorithms on Solving the Influence Maximization Problem Link for paper

    5. Comparative Analysis on Genetic algorithm and Reinforcement Learning Link for paper

    6. A Comparative Analysis on Influence Maximization Models in Social Networks Link for paper

    • Portfolio

    Contact

    I’m actively seeking to network and explore full-time opportunities in data-related roles starting in May 2025. If you’d like to connect, feel free to reach out to me via email.

    Email : uthayasuriyan.a@northeastern.edu