Sandeep G.

Experience

• 

  Imarticus Learning

  Sept 2018 - Feb 2019

  Training(Data Science)

  Performed data mining, data cleaning & explored data visualization, techniques on a variety of data stored in spread sheets and text files using R and plotting the same using ggplot2 function. Good exposure to designing and developing Tableau reports and dashboards for data visualization using R. Good knowledge about the Natural Language Processing using R. My current ML knowledge includes 1.Predictive Modeling 2.Linear and Logistic Regression. 3.Support Vector Machine, 4.Decision trees and Random ForestProject Under Taken1.Predicting Employee Attrition - Build classification models to predict which employee is likely to churn and help the business to devise policies and attract back the right talent using R and Python.2.Lending Club Loan Prediction - Based on the data that is available during loan application, build a model to predict default in the future. This will help the the company in deciding whether or not to pass the loan using Python.3.Predictive Analytics on Ames housing data - Predict Home Sale Price for the Test Data Set with the lowest possible error using R.4.Predicting the survival of Titanic Passengers - By analyzing the data of the given features of passengers formulated a logistic regression model to predict the survival of passengers in Titanic using R and Python. Show less

• 

  MoMAGIC Technologies Pvt. Ltd.

  Feb 2020 - May 2024

  a. FinTech: Predicting the userbase for potential borrower/non-borrowers within 2 hours of registration on FinTech apps.b. Product Recommendation: Detecting the object(product),Classification and recommendation based on prediction score in a fully automated by both Google Vision API and Local training inference pipeline. Further produced a Better product classifier than Google Vision for product automation.c. Data Flow Management and Analysis: Managing continuous flow of data using airflow and doing analysis on users data using tableaud. Call Center Conversation Analytics : Collecting and analyzing call data to identify trends and patterns in customer interactions. I used this information to develop insights that could be used to improve the customer experience and the efficiency of the call center operations. Show less a. FinTech: Predicting the userbase for potential borrower/non-borrowers within 2 hours of registration on FinTech apps.b. Product Recommendation: Detecting the object(product),Classification and recommendation based on prediction score in a fully automated by both Google Vision API and Local training inference pipeline. Further produced a Better product classifier than Google Vision for product automation.c. Data Flow Management and Analysis: Managing continuous flow of data using airflow and doing analysis on users data using tableaud. Call Center Conversation Analytics : Collecting and analyzing call data to identify trends and patterns in customer interactions. I used this information to develop insights that could be used to improve the customer experience and the efficiency of the call center operations. Show less

  • Senior Data Scientist

    Apr 2023 - May 2024

  • Data Scientist

    Apr 2021 - Jun 2023

  • Data Analyst

    Feb 2020 - Apr 2021