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asha jagadish

Data Engineering | ML Engineering | MLOPs | Software Engineering

Contact asha

About

Asha Jagadish is a skilled Machine Learning Engineer with over 7.6 years of experience in the IT industry. She has a Master's degree in Big Data and Data Analytics from the School of Information Sciences, Manipal Academy of Higher Education, Manipal, India, and a Bachelor's degree in Information Science Engineering from BNMIT, Bangalore. Asha has gained extensive experience in NLP, Big Data, Machine Learning, and Cloud computing technologies. She is proficient in building data pipelines, batch and streaming jobs, and calculating business KPIs from structured and unstructured raw data. Asha has worked with Big Data technologies like Apache Spark and Kafka to build ETL/ELT pipelines, including storing various kinds of data into a data lake. She has also worked on Data Science technologies like ML algorithms, EDA, and NLP problems. Asha is keen to work in the data analytics domain and contribute to the development of different stages of a successful data-driven product. She has worked under various environments like Ubuntu and Windows. Asha has a sound experience in Object-Oriented PHP, jQuery, JavaScript, Ajax, Bootstrap, CSS, GIT BASH, SVN, MYSQL, and Symfony2.0 framework. As a Data Engineer 2 at Ericsson, Asha has obtained experience on various BigData Technologies and product development for the AI unit of Ericsson. She has gained a sound experience in Python, pySpark, Kafka, module designing, POC generation, and data science project with NLP and various machine learning algorithms. Asha has a diverse Tech Stack that includes Data Engineering, ML, Big Data, NLP, Data Scientist, Python, JavaScript, Kafka, AWS, AI, Spark, Research Scientist, PHP, MySQL, ETL, Software Engineer, and Java. She is building her skillset to become a complete full-stack Data Science professional related to Machine Learning Engineering. Asha is currently working as a Data Engineer 2 at Ericsson and has previously worked as a Data Engineer and Research Engineer Intern at Ericsson. She is open to new opportunities and can be contacted for more information.

Education Overview

manipal academy of higher education

b n m institute of technology bangalore

Companies Overview

nityo infotech

ibm

ericsson

s.k.access pvt.ltd.

s k access pvt. ltd

Experience Overview

6.6 Years

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Experience

Senior Data Engineer

nityo infotech | Bengaluru, Karnataka, India · Hybrid

2023 - Present

Senior Software Engineer

ibm | Bengaluru, Karnataka, India · Hybrid

2022 - 2023

Data Engineer 2

ericsson | Bengaluru, Karnataka, India

2020 - 2022

Data Engineer

ericsson | Bengaluru, Karnataka, India

2019 - 2020

Research Engineer Intern

ericsson | Bangalore

2018 - 2019

Software Engineer

s.k.access pvt.ltd. | Bengaluru Area, India

2014 - 2017

Software Engineer

s k access pvt. ltd | Bengaluru Area, India

2014 - 2017

Skills

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ajax

Algorithms

Amazon Elastic MapReduce (EMR)

Amazon S3

Amazon Web Services (AWS)

analytics

apache

Apache Kafka

Apache Spark

Application Programming Interfaces (API)

ArgoUML

Artificial Intelligence (AI)

Automation

AWS Lambda

Azure

Azure Databricks

Bash

BERT

Big Data

Bootstrap

Cascading Style Sheets (CSS)

Cloud Computing

Computer Science

Computer Vision

Concept Drift

d3DotJs

Data Analysis

Data Analytics

Data Engineering

Data Governance

Data Mining

Data Modeling

Data Pipelines

Data Preprocessing

Data Processing

Data Science

Data Scientist

Data Visualization

Databricks

Design

Eclipse

eda

Education

Enterprise Resource Planning (ERP)

erp

Excel

Git

Git BASH

Gitlab

Hadoop

html

Human-level Performance (HLP)

Information Retrieval

Java

Javascript

jQuery

Kafka

Keras

Kubeflow

Kubernetes

linux

Log4j

Machine Learning

Machine Learning (ML)

MapReduce

Matplotlib

Microsoft Azure

Microsoft Azure Machine Learning

ML Deployment Challenges

MLOps

Model baseline

Mqtt

MySQL

Natural Language Processing (NLP)

Neural Networks

NLTK

NoSQL

NumPy

open source

Operating Systems

Pandas

Pandas (Software)

PHP

Product Development

Project Scoping and Design

Prototyping

PySpark

pyspark

Python

Python (Programming Language)

R

Raspberry Pi

Representational State Transfer (REST)

Research

Research and Development (R&D)

Research Scientist

REST

REST API

Scikit

Scikit-Learn

SciPy

scipy

Search

Software Engineer

Software Engineering

SQL

Support Vector Machine (SVM)

SVM

svn

symfony

Tableau

Tensorflow

test

testing

Ubuntu

Vision

Web

Web Services

Windows

Contact Details

Email (Verified)

ashXXXXXXXXXXXXXXXXXXXom

Mobile Number

+91XXXXXXXX99

Education

manipal academy of higher education

Master of Engineering - MEng

2017 - 2019

manipal academy of higher education

Master of Engineering - MEng

2017 - 2019

b n m institute of technology bangalore

Bachelor of Engineering (BE)

2011 - 2014

Frequently asked questions

What company does asha jagadish work for?

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asha jagadish works for nityo infotech

What is asha jagadish role in his workplace?

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asha jagadish's role in his workplace is Senior Data Engineer

What is asha jagadish's tenure in his workplace?

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asha jagadish's tenure in his workplace is 1.51 years

What is asha jagadish's total experience?

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asha jagadish's total experience is 6.58 years

What is asha jagadish's LinkedIn profile?

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asha jagadish's LinkedIn profile can be found here

What is asha jagadish's email address?

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asha jagadish's email address is ashXXXXXXXXXXXXXXXXXXXom. Unlock here

What is asha jagadish's phone/WhatsApp number?

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asha jagadish's phone number is +91XXXXXXXX99. Unlock here

What schools did asha jagadish attend?

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asha jagadish has attended manipal academy of higher education, manipal academy of higher education, b n m institute of technology bangalore

What companies has asha jagadish worked with?

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asha jagadish has worked with nityo infotech, ibm, ericsson, ericsson, ericsson, s.k.access pvt.ltd., s k access pvt. ltd

What are some of asha jagadish's skills?

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asha jagadish has skills in ajax, Algorithms, Amazon Elastic MapReduce (EMR), Amazon S3, Amazon Web Services (AWS), analytics and more.

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