R

Ramachandran Karthik

About

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Sr. Data Scientist
Singapore

Contact Ramachandran regarding: 
work
Full-time jobs
Starting at USD100k/year

Timeline


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Job
school
Education

Résumé


Jobs verified_user 0% verified
  • Ramco Systems
    Software Engineer
    Ramco Systems
    Jan 2024 - Apr 2024 (4 months)
  • NCS
    Senior Data Scientist & Data Engineer
    NCS
    Jan 2024 - Apr 2024 (4 months)
    Specialization: Big Data, HDFS, HIVE, Project Involved
  • Infineon Technologies
    Senior Data Scientist
    Infineon Technologies
    Sep 2023 - Current (2 years 9 months)
    Roles and • Collaborate with the Engineering Division from Japan to develop anomaly detection model, predictionand Classification to improve operations, machine performance for business customers within Panasonic Group. ◦ Development of Machine Learning models to predict the anomaly behavior from Final Testing process and Assembly Process. ◦ Conduct predictive and inference models in industry and manufacturing analytics and execute necessary hypothesis testing. ◦ Design and develop data visualization dashboard and anomaly detection to control yield enhancement and detect anomaly behavior. ◦ Develop ETL pipelines to extract and aggregate data from multiple data sources. ◦ Handle service release to production servers hosted in AWS
  • NCS
    Sr. Data Scientist
    NCS
    Apr 2022 - Aug 2023 (1 year 5 months)
  • P
    Data Scientist
    Panasonic Industrial Solutions,
    Aug 2017 - Mar 2021 (3 years 8 months)
    Specialization: Predictive Analytics, Bayesian optimization, Regression, Anomaly Classification, Image Analysis Domain
  • P
    Data Scientist
    Panasonic Industrial Solutions,
    Aug 2017 - Mar 2022 (4 years 8 months)
  • S
    Jr. Data Scientist
    Salary Board Private Ltd,
    Aug 2016 - Jan 2017 (6 months)
    Techniques Algorithm: Python, Exploratory Analysis, Data Mining, Tableau, Predictive Analysis, Extraction, Excel, etc. Roles and Responsibilities: • Involved in five phases of Data Analytics life cycle such as Data discovery, Data preparation, Model Planning, Model building and Communicate results. • Investigated ETL process of preparing the data for analysis. Responsible for Analysing the factors which influence salaries like skills and Job Title. • Predicting the salary based on two different factors such as Employee Job Title and Skills
  • I
    Data Scientist Intern
    Isentia Brandtology,
    May 2016 - Aug 2016 (4 months)
  • Z
    Data engineer Intern
    Zumata Technology,
    Dec 2015 - Feb 2016 (3 months)
    Travel Tech
  • HCL Technology
    Software Engineer
    HCL Technology
    Dec 2013 - Jul 2015 (1 year 8 months)
    Banking Finance Industrial
  • HCL Technologies
    Software Engineer
    HCL Technologies
    Dec 2013 - Jul 2015 (1 year 8 months)
    • Have involved in developing web-based application for the Japan Billing System (JBS) using servlets and J2EE. Involved in writing production quality code to ensure authenticated login system for server-based applications. • Design, develop, document and implement new programs/subprograms
  • R
    Engineer
    Ramco Systems Pvt. Ltd,
    Apr 2013 - Dec 2013 (9 months)
    Roles and • Have involved in Generating report using C# for month wise and day wise data by working in the product. • Have worked in developing file system backup and database backup using SQL Server
  • S
    Jr. Data Scientist
    Salary Board Pvt Ltd,
    Jan 2008 - Aug 2023 (15 years 8 months)
Education verified_user 0% verified
  • Nanyang Technological University
    Master of Science
    Nanyang Technological University
    Aug 2015 - Jul 2016 (1 year)
  • Anna University
    Bachelor of Technology
    Anna University
    Aug 2008 - Apr 2012 (3 years 9 months)
  • I
    PMP Course Training
    Ikompass
  • Coursera
    Deep Learning Specialization
    Coursera
  • Coursera
    Bayesian Statistics Techniques & Models with Honors
    Coursera
  • Panasonic
    Advanced Product Security
    Panasonic
  • Panasonic
    Product Security
    Panasonic
  • Microsoft
    Microsoft Certified Azure Data Scientist
    Microsoft
  • Microsoft
    Microsoft Certified Azure Fundamentals
    Microsoft
  • Microsoft
    Microsoft Certified Azure Data Engineer
    Microsoft
  • Microsoft
    Microsoft Certified Azure Data Fundamentals
    Microsoft
  • Udacity
    Machine Learning Nanodegree
    Udacity
Projects (professional or personal) verified_user 0% verified
  • S
    Stop Time Attribution
  • A
    Automated Mail Monitoring using Anomaly Detection
    GovTech project handling big data ecosystems consists of TBs of data incoming every day from multiple government agencies and channelizing data into the data pipeline from Apache Nifi and stored into HDFS. This Data is analyzed using Spark Framework to analyze the anomaly behavior for its existence.
  • A
    Anomaly Detection of Tact Time Improvement (AI)
    The manufacturing process has sequence of process typically produces capacitor. There is a completion time (Tact Time) for each process to roll from one end to other. Tact Time is very important for every
  • F
    Front end Limit Optimization: (Yield Optimization
    Semiconductor manufacturing involves both Front-end and Back-end manufacturing and Testing methodologies. Front be based on the that we can minimize the yield in
  • T
    Topic Grouping System (TGS) and Text Categorization
  • A
    Action Recommendation
    Recommendation of counter measures actions for the problem encountered during trouble shooting maintenance. This recommendation will be used by operators to reduce the machine down time by carrying out suitable actions suggested. Tools and Technology: NLP, LSTM-RNN, Principal Component Analysis, Factor +Analysis, Real Time data comes directly from production machine rated frequency per minute accumulates the huge log of data processed in real time. Objective is to find the unknown stops occurred for no reason. Attribution of each stop due to the previous stop and predict the next big unknown stop happening. Python, DB: ML Technique: LSTM-RNN, Bayesian Modelling using Stan Big Data Framework: (AI): Every Manufacturing industry has Final insp
  • V
    Visual Inspection (AI): Visual Inspection
  • S
    Salary Prediction
    This is operated on B2B and B2C markets focus on predicting the accurate salaries with data obtained from multiple data sources based on different factors which influences it.
  • T
    Text Graphing using IBM Watson
    Google Trend Analysis, Facebook and Twitter Live Streaming Analysis, Network Science, Twitter Dataset Analysis, Spam Classifier, Sentiment Analysis, Social Media Analytics
  • J
    Japan Billing System
  • R
    Ramco OPTIMA
    Product developed in C#.net for the automation of cement manufacturing plant