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Mani Kandan profile image

Mani Kandan

Data Analyst at Greentech Megawatt Pvt. Ltd.
Intro Book
Mani Kandan, a seasoned data analyst with expertise in machine learning and business intelligence, holds an MBA from DR.G.R.Damodaran Academy of Management and a Bachelor's degree in Biotechnology from VELS University, with over 2 years of experience in leading teams and driving projects in Bengaluru, Karnataka, India.
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Bengaluru, Karnataka, India, IN
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Credentials

  • IBM Certified Data Scientist
    IBM
    May, 2022
    - Apr, 2026

Experience

  • Greentech Megawatt Pvt. Ltd.
    • Coimbatore, Tamil Nadu, India
    • Data Analyst
      • Jun 2023 - Present
      • Coimbatore, Tamil Nadu, India

  • BYJU'S
    • Bangalore
    • Business Development Associate
      • Jan 2023 - Mar 2023
      • Bangalore

  • INNODATATICS * Innovation | Data | Analytics
    • United States
    • IT Services and IT Consulting
    • 300 - 400 Employee
    • Data Science Intern
      • Jun 2022 - Dec 2022

      Project Title: Credit Score Analysis for Pharma RetailersDetails of Project:This Project is aimed to build Scoring Mechanism to detect Credit Scores of Pharma retailers to identify Loyal Customers, Followed the CRISP-ML(Q) methodology to build Unsupervised Machine Learning Algorithm by Classifcation techniques of RFM Modelling , KMeans Clustering and KNN classiferDatabase Management System - MySQL database, it will be connected with Python for the research on Data to Detect the Credit Scores of CustomersPython IDE - Spyder for developing source code with the mysql connector python, pandas, numpy, sweetviz, matplotlib, seaborn, scikitlearn, streamlit packagesBusiness Intelligence tool used in this project - Tableau for doing Exploratory Data Analysis by visualizing Beautiful graphical representations on Data to extract useful Business Insights.

    • Project Intern
      • Apr 2022 - Nov 2022

      Project Title: Retail Analytics: Price Optimization Model,Project Details:This project is a research based on the methods of CRISP-ML(Q), which is inturn to predict optimal prices for retail products with the help of Supervised Machine Learning Algorithmsby Multiple Linear Regression Analysis techniqueThe Database Management System used for this project - PostgreSQL server, then this server will be connected to Python for the research on data to build appropriate price optimization modelThe Python IDE used for this project - Spyder for developing source code with the psycopg2, pandas, numpy, matplotlib, seaborn, statsmodel, streamlit packagesBusiness Intelligence tool used in this project - Tableau for doing Exploratory Data Analysis by visualizing Beautiful graphical representations on Data to extract useful Business Insights.

  • ICICI Bank
    • Salem, Tamil Nadu, India
    • Privelege Banker
      • Oct 2021 - Dec 2021
      • Salem, Tamil Nadu, India

  • Amazon.in
    • Affiliate Marketer
      • May 2020 - Jun 2021

  • CROWD1 - IMPOSSIBLE IS NOTHING
    • Team leader
      • Apr 2020 - Jun 2021

  • Flipkart
    • Affiliate marketer
      • May 2020 - May 2021

Education

  • 2019 - 2021
    DR.G.R.Damodaran Academy of Management
    Master of Business Administration - MBA, Logistics, marketing
  • 2016 - 2019
    VELS University
    Bachelor of science(Biotechnology), Life science

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Industry Focus. “Renewable Energy Semiconductor Manufacturing”

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