Ayush (RID : 474kwbrsbmh)

designation   Data Scientist

location   Location : Jaipur , India

experience   Experience : 4 Year

rate   Rate: $27 / Hourly

Availability   Availability : Immediate

Work From   Work From : Offsite

designation   Category : Information Technology & Services

Last Active: 16 Days ago
Shortlisted : 2
Total Views : 13
Key Skills
Data Science ML Algorithms SQL Python Advanced Excel Logistic Regression Power BI
Discription

Introduction

Data Scientist with 4+ years of experience in feature engineering, predictive modelling and networking problems. Worked extensively with Machine Learning and Deep Learning Algorithms like Regression, LDA, SVM, Neural Nets etc. In addition to having sound technical skills, have also demonstrated soft skills such as time management, innovativeness, team spirit etc. in various projects worked in past.

SKILLS

 

PYTHON

SQL

SCIKIT LEARN/TENSORFLOW

Dataiku

FEATURE ENGINEERING

MACHINE LEARNING /DEEP LEARNING / TIME SERIES ANALYSIS

EDA

MS Excel

 

WORK EXPERIENCE

Data Scientist

Marktine Technologies, Gurugram / May 2021 – Present

  • Worked as DS Consultant with Kmart (Australia Based Retail Chain) in operational

analytics department on shrink reduction and fraud analytics.

  • Used ML algorithms like KNN, Random Forest, Bagging, Regression and other techniques to come up with innovative solutions to problem of theft and inventory reduction.
  • Used Advanced SQL and Python to query the data and apply the ML solutions respectively.

Associate Manager, Business Analytics

Standard Chartered Bank, Bengaluru / August 2020 – January 2021

  • Worked on Retail Banking data using Advanced Excel to generate Insights and created ppt for same to present to stakeholders.
  • Worked on migrating the code from Python and SQL to Dataiku Platform
  • Used Machine Learning algorithms like logistic regression, decision trees etc. to forecast the demand for various banking products.

Engineer

Maersk GSC, Bengaluru / May 2018 – July 2020

  • Worked in demand forecasting and used Time Series Analysis like ARIMAX models, Holts Winter Method to forecast the demand for containers.
  • Exploratory data analysis using Power BI to create reports to be presented to external stakeholders.
  • Used SQL for data querying and establish connection from database to programming languages both R and python.

 

 
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