Ajinth Christudas
Data Architect/ Data Engineer
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I am Data Architect with experience in Warehousing, ETL and Technology consulting. I have a lot of experience working with clients across different sectors and helping them gain insights from the data in hand. I have hands on experience with data modelling, data engineering, reporting. I enjoy solving business problems, along with growing people and learning in the process.
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I am also passionate about bridging the gap between the technical and functional teams, and my ability to play the perfect liaison between the technical and functional folks in the room is something I really cherish and take into all my engagements
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EXPERIENCE
EDUCATION
2022- Present
Sr Delivery Principal
2021- 2022
Solutions Architect/Principal
2018 - 2021
Consultant
Slalom Consulting, Boston MA
<TBD>
Slalom Consulting, Boston MA
<TBD>
Slalom Consulting, Boston MA
<TBD>
2015 - 2018
Technical Consultant
Archetype Consulting, Boston MA
My current experience at Archetype involves designing, architecting and building custom Enterprise Datawarehouse solution for our clients. I have hands on experience working with MS SQL Server, Sql Server Integration Services and Tableau for development of Visual dashboards
2010-2015
Implementation Consultant
Exeter Group, Boston MA
Played a lead role in implementation of the State based Health Insurance exchange in Vermont. Served as a liason between the Business and the technical teams as a part of the large scale Health insurance exchange implementation.
2007- 2008
Assistant Software Engineer
2005- 2007
Assistant Systems Engineer
Fidelity Investments, Chennai, India
Triaged issues with the nightly billing jobs and assisted in developing dashboards for upper management within Fidelity Business Services.
Tata Consultancy Services, Kochi, India
Worked as as systems engineer and assisted in developing and maintaining billing application for Europe and Middle East Africa for American Express client
2008-2010
Master's Degree
Suffolk University - Sawyer Business School
MBA - Finance
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2001-2005
Bachelor's Degree
Anna University - Madras Institute of Tech
Bachelors in Technology - Production Engineering
Other Relevant Education
General Assembly
Data Science Immersive - Using Python, Sklearn
Jun 2017-Jul 2017
Certificate of Completion
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General Assembly
Data Analytics - Using Excel SQL and Tableau
Sep 2017-Dec 2017
Currently Enrolled
SKILLS
Programming Languages:
Python, R, Java, SQL
Python Packages:
Numpy, Pandas, Matplotlib, Seaborn, Sklearn
Integration & ETL Tools:
SSIS, ODI, IICS, PowerCenter, Azure Data Factory
Visualization Tools:
Tableau Desktop, Tableau Server
Databases:
Snowflake, Azure Synapse, Microsoft SQL Server, Oracle 11g, MySQL, PostgresSQL
Machine Learning Techniques:
Preprocessing, Regression Modeling, K-nearest neighbor, SVM, RandomForest, Decision Trees, NLP, Regularization
Version Control:
SVN, GIT, SharePoint
Issue Management Tools:
JIRA, Taiga
TECHNOLOGY CERTIFICATIONS
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AWS Solutions Architect Associate
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Snowpro Advanced Architect
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Tableau Desktop 10 Qualified Associate
CERTIFICATIONS
Azure
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Azure AI Engineer Associate
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Azure Solutions Architect
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Azure Administrator
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Azure Data Engineer
Recommender System:
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Github: https://github.com/Ajinth/Yelp_Recommender​
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This focus of this project is to build a recommender system to recommend restaurants to users using machine learning techniques. The project implements the following recommender approaches
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Collaborative User-User filtering
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Collaborative Item-Item filtering
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Content based user filtering
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This project is still a work in progress, but the work can be tracked here.
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Home Price Predictor
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Github: https://github.com/Ajinth/Kaggle_Home_Prediction
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This project was a part of the Kaggle competition, it focusses on applying machine learning models to predict home price using a variety of features in the dataset. The dataset belongs to City of Ames, IOWA with around 70 original features.
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The project delves into the the different facets of a Data Science life cycle like Data Wrangling and Exploratory Data Analysis, basic model building followed up Regularization, GridSearch and Pipelines to further fine tune the models. The details of the project can be found here.
Reddit Data Analysis
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Github: https://github.com/Ajinth/Reddit_Post_Analysis
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Reddit is an American social news aggregation, web content rating, and discussion website. Registered members submit content to the site such as links, text posts, and images, which are then voted up or down by other members. Posts are organized by subject into boards called "subreddits", which cover a variety of topics including news, science, movies, video games, music, books, fitness, food, and image-sharing.
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The project focusses on building a model to predict the score based on the contents of the post. The main focus of the project was to build out a classifier model to classify the post category as a "Tech Support" article v/s a "Non Tech Support" article using classifier models like Logistic Regression and Support Vector machines. The details of the project can be found here.
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Data Wrangling with Python and MongoDB
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Github: https://github.com/Ajinth/Data_Wrangling_Python
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The goal of the project is to extract a particular locality of choice in the Boston area. The extract is in an XML format. This is followed by auditing, cleansing and standardizing the address attributes, followed by loading the cleaned up version of XML into a MongoDB to perform some basic querying and aggregation. The details of the project can be found here.
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Baseball Data Analysis:
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Github: https://github.com/Ajinth/Baseball_Data_Analysis
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The purposes of this analysis is to utilize the baseball dataset from http://www.seanlahman.com/baseball-archive/statistics/ and apply the core aspects of the data analysis process using pandas. The data analysis process focuses on the following
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Analyzing the "Strikeouts" and "Home Runs"
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Analyzing the "Batting Average" and the "Runs Scored"
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Analyzing "OPS and the "Runs Scored
The details of the project can be found here.
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Supplemental-Nutrition-Assistance-Program - Fraud Analysis
Github: https://github.com/Ajinth/Tableau
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The goal of this project was to use Tableau and SQL to analyze the SNAP allocation in the State of NewYork, along with analyzing the potential fraud to help realize the amount of wasted Tax dollars on SNAP. The details of the project can be found here
PROJECTS
