Sakhi Garg

Experience

• 

  Bharat Sanchar Nigam Limited

  May 2017 - Jun 2017

  Internship Trainee
• 

  Bhabha Atomic Research Centre

  May 2018 - Jun 2018

  Engineering Trainee

  Developed an automated Fuel Alignment System

• 

  ICICI Prudential AMC Ltd

  May 2019 - Aug 2019

  Management Trainee

  To develop a predictive model for increasing revenue using up-sell and redemption management strategies with the help of advanced machine learning techniques. Data elements like financial transactions, demographic data and investment status is used for building model in R studio.

• 

  SilverNeuron

  Jul 2020 - Aug 2020

  Data Science Intern

  •Data Visualization using Tableau to obtain insights on suspicious warrantyclaims data for the company. Predictive model using Decision Tree and Ada Boosting was developed to predict if the warranty claim made by thecustomer is suspicious or genuine. Data elements like customer demographic, purchase details etc were used to build the model in python.•Electricity Consumption forecasting model was build using time series methods like ARIMA, LSTM and Fbprophet in Python. The data elements used were timestamp, energy, current and power. •Anomaly detection and peak hour analysis, to help company control electricity demand and losses due to illegal activities like electricity theft etc was also done using same electricity data . The methods used were 3-sigma and 90th percentile using Python and MS-Excel. Show less

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  Decimal Point Analytics

  Nov 2020 - now

  • Team Leader - BI and Automation

    Mar 2023 - now

  • Senior Business Analyst

    Apr 2022 - Mar 2023

  • Business Analyst

    Nov 2020 - Apr 2022