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Shaurya Lalwani

Bis 2019, Engineer, Tata Consultancy Services Ltd
Bis 2020, Data Science & Engineering, Great Lakes Institute of Management
Bengaluru, Indien

Fähigkeiten und Kenntnisse

Python
C language
C++
Tableau
Microsoft Power BI
Data Analysis
Google Analytics
Data Analytics
Mathematics
Statistics
Statistical Modelling
Software Development
Data Mining
Big Data
Machine Learning
Artificial intelligence
Microsoft Office
R programming language
UNIX
Data Science
IT-Consulting
Internet of Things
Neural Networks
Natural Language Processing (NLP)
DevOps
Business Intelligence
Analytik

Werdegang

Berufserfahrung von Shaurya Lalwani

  • 2 Jahre und 4 Monate, Juni 2017 - Sep. 2019

    Engineer

    Tata Consultancy Services Ltd

    • Developed intricate algorithms based on statistical analysis that were used to deepen relationships and strengthen longevity with customers • Developed and presented valuable insights obtained through analysis • Analyzed complex data using advanced querying, visualization and analytics tools • Identified, measured and recommended improvement strategies for defined KPIs across all business areas

  • 2 Monate, Juni 2015 - Juli 2015

    Intern

    Transformers & Rectifiers (I) Limited

    - Studied the business model of the firm and analyzed the marketing techniques that were being implemented - Created structured reports based on the analysis

Ausbildung von Shaurya Lalwani

  • 6 Monate, Okt. 2019 - März 2020

    Data Science & Engineering

    Great Lakes Institute of Management

    Python, Exploratory Data Analysis, Statistical Methods For Decision Making, Database Management System, Supervised Learning - Regression, Supervised Learning - Classification, Unsupervised Learning, Data Visualization using Tableau

  • 4 Jahre, Juli 2013 - Juni 2017

    Electronics & Instrumentation

    Vellore Institute of Technology (VIT)

    Computer Programming & Problem Solving, Multivariable Calculus & Differential Equations, Differential & Difference Equations, Data Structures & Algorithms, Complex Variables & Partial Differential Equations, Probability & Statistics, Applied Numerical Methods, Operations Research

Sprachen

  • Englisch

    Muttersprache

  • Deutsch

    Grundlagen

  • Französisch

    Grundlagen

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