Vigneshwar Thiyagarajan
Big Data EngineerComposing Auto ML at Lyric
Lyric
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Composing Auto ML at Lyric
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
M.Tech graduate, working as Advanced AI Scientist in Antuit. I find Machine Learning and Deep Learning very interesting, and my expertise in product development for Supply chain (Demand forecasting) domain.
Aegis School of Business, Data Science & Telecommunication
Master's degree, Data Science,Big data and Business analytics
January 1, 2016 – January 1, 2017
SRM IST Chennai
Master of Technology (M.Tech.), Computer Science
January 1, 2014 – January 1, 2016
Velammal Engineering College
BE - Bachelor of Engineering, Electronics and Instrumentation
January 1, 2009 – January 1, 2013
Lyric
AI/ML
May 1, 2025 – Present
Bengaluru, Karnataka, India · Hybrid
antuit.ai
AI Scientist - Advanced
January 1, 2022 – May 1, 2025
antuit.ai
Senior Data Scientist
April 1, 2021 – December 1, 2021
antuit.ai
Data Scientist
March 1, 2019 – March 1, 2021
EY
Data Scientist
November 1, 2017 – March 1, 2019
Bangalore
BigTapp Pte Ltd
Data Analyst - Big data and Machine Learning
July 1, 2017 – November 1, 2017
Chennai, Tamil Nadu, India
Alcatel-Lucent
Intern
November 1, 2015 – June 1, 2016
Bangalore
Social Media data Analytics
January 1, 2017 – Present
Social media analytics were advertisement targeting people based on their interest. Language: R Algorithm : KNN and Naive Bayes algorithm
Big Mart sales prediction
December 1, 2016 – Present
Source: Analytics Vidhya Predicting sales of Big Mart based on different features and generated a model using Random Forest to predict the sales in future Language :R Algorithm :Random Forest and Decison tree
Telco Churn Prediction
November 1, 2016 – January 1, 2017
Helps Company to predict customers who gonna make churn and retain them with attractive offers. Tool Used: R and Machine Learning. Algorithm Used: Random Forest
OCJP
Oracle
June 24, 2026 – Present
Deep Learning A-Z at Udemy
Udemy
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in Data Science and AI/ML, which aligns with the analytical nature of a Big Data Engineer role. However, the projects and experience heavily lean towards Machine Learning and Data Science algorithms (KNN, Naive Bayes, Random Forest, demand forecasting) rather than core Big Data engineering technologies (e.g., Hadoop, Spark, Kafka, distributed systems, data warehousing, ETL pipelines). This indicates a potential gap in direct Big Data engineering experience, which might affect cultural fit for a pure engineering role.
Soft Skills & Operational Fit
The candidate's experience in training and guiding data scientists suggests strong mentorship and leadership potential. The development of reusable templates and modules indicates a focus on operational efficiency and scalability. However, without psychometric test results, a full assessment of logical reasoning, work attitude, stress handling, and team collaboration is not possible.