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Yashwanth S

@yashwanths

Process Associate at Jumbotail

Bangalore

https://linkedin.com/in/yashwanth-yash-69ba6222a

JumbotailIIITB

Yashwanth S is an entry-level data scientist and Process Associate at Jumbotail. He is a motivated professional with a strong foundation in machine learning, data analysis, and SQL. He holds a Post Graduate Diploma in Data Science from IIIT Bangalore and is dedicated to continuous learning and process improvement.

Experience

Process Associate

Jumbotail

•Jun 2001 - Present•Bengaluru, IN

Coordinated with the team by taking ownership of the different project along with sharing knowledge & in 'B2B' worked on Mapping, Accounting, JPIN Level Accounting and also Payable list. Taken new initiatives and decisions in discussions to give solution and ideas to the process and helping the process to make easy. Pursuing Excellence by Working on different task assigned and different Projects , Now in NEW PROJECT 'J24' taken initiatives like Assigning allocations , Report sharing , Resolving POD issues , training people , Map + Accounting & improving the process.

Education

IIIT Bangalore & upGrad

Post Graduate Diploma

Data Science

Feb 2001 - Aug 2001

IIITB

Data Science PG Certification

Data Science

Mar 2001 - Dec 2001•Grade: 75%

Introduction to Data Science. Understanding Exploratory Data Analysis. Machine Learning. Model selection and evaluation. Course Modules: Data Analysis using SQL | Introduction to Python | Introduction to Machine Learning and Linear Regression | Time Series Analysis | Telecom Churn Case Study | Lexical Processing | Syntactic Processing | Business Problem Assignment | Building Automated Data Pipelines with Oozie/Airflow | Analytics using PySpark

Licenses & Certifications

Soft Skills Training

Jumbotail

Machine learning

Upgrad - IIITB

Skills

Python
SQL
Excel
Data Analysis
Machine Learning
Deep Learning
Quantitative Analysis
Data Visualization
Programming
Statistical analysis and computing
Leadership
Advanced SQL
Project Management
Oracle 11g
MySQL
Pandas
Scikit Learn
Numpy
Seaborn
datetime