Yogesh Ravi Krishna
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Yogesh Ravi Krishna Email & Phone Number

Professional Services Consultant at KINSHIP Digital
Location: Canberra, Australian Capital Territory, Australia 7 work roles 2 schools
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Current company
Role
Professional Services Consultant
Location
Canberra, Australian Capital Territory, Australia
Company size

Who is Yogesh Ravi Krishna? Overview

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Quick answer

Yogesh Ravi Krishna is listed as Professional Services Consultant at KINSHIP Digital, a with 20 employees, based in Canberra, Australian Capital Territory, Australia. AeroLeads shows a matched LinkedIn profile for Yogesh Ravi Krishna.

Yogesh Ravi Krishna previously worked as Data Scientist at Fair Work Commission and Data Engineer at Cognr - Ai & Data Science. Yogesh Ravi Krishna holds Master'S Degree, Data Science, 72 from Monash University.

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Email format at KINSHIP Digital

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KINSHIP Digital

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Profile bio

About Yogesh Ravi Krishna

Experienced Data Scientist with a Master’s in Data Science from Monash University and a Bachelor’s in Computer Science Engineering. Skilled in AI solutions and cloud environments like Azure, with a focus on document retrieval systems, data pipeline optimization, and POCs using Azure AI services such as Translator and AI Search. Proficient in Python, R, SQL, and experienced in data wrangling, machine learning, NLP, and quantitative analysis. Proficient in Python libraries (Pandas, PyTorch) and familiar with data visualization tools (PowerBI, Tableau). Demonstrated ability to manage full project life cycles across Dev, UAT, and production environments, with experience in project documentation and alignment with business goals. Certified in Python for Data Science and Data Science with R, with a strong interest in Creative AI technologies like Dall-E and OpenAI.

Listed skills include R Shiny, R, C, Mongodb, and 16 others.

Current workplace

Yogesh Ravi Krishna's current company

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KINSHIP Digital
Kinship Digital
Professional Services Consultant
Canberra, ACT, AU
Employees
20
AeroLeads page
7 roles

Yogesh Ravi Krishna work experience

A career timeline built from the work history available for this profile.

Data Scientist

Canberra, Australian Capital Territory, Australia

Develop and maintain document retrieval systems using Azure AI Services, with a focus also on creating streamlineddata pipelines through Azure Data Factory.Manage SQL Server databases, develop POCs using Azure Translator and AI Search, and oversee project developmentacross Dev, UAT, and Prod environments.Developed multiple internal Python solutions to automate various business processes, improving efficiency andreducing manual effort across teams.Responsible for project documentation, handling user requests, and maintaining project details through DevOps.Manage specific project components independently and provide thorough documentation for future reference.

Data Engineer

Cognr - Ai & Data Science

Melbourne, Victoria, Australia

Developed Python scripts to extract and preprocess data from JSON files for NLP tasks, creating training datafor NER models.Worked on refining and testing various NER models to ensure accurate data extraction.Designed a graph database for managing incoming data and conducted a comparative study on different modelsto identify the best fit for the project’s requirements.

Apr 2021 - Jun 2021

Payment Processor Supervisor

Melbourne, Victoria, Australia

Managed team performance, providing feedback and ensuring adherence to company policies and KPIs.Oversaw team workflow and reported performance to superiors and HR.Communicated updates to stakeholders as needed.

Dec 2020 - Apr 2021

Data Processor

Melbourne, Victoria, Australia

Processed and updated customer and financial data accurately within set timeframes.Transformed and formatted source data to meet system standards.Ensured data accuracy and integrity, addressing any errors promptly.Communicated essential updates to stakeholders and supervisor.

May 2020 - Dec 2020

Intern As Developer

Melbourne, Australia

Designed an interactive chatbot UI in Dialogflow to integrate a machine learning system.Developed Python scripts for text data mining and extraction from GCP, generating user-specific insights.Conducted testing on Dialogflow and Google Assistant to enhance chatbot accuracy.

Jan 2019 - Mar 2019

Intern As Junior Data Analyst

Chennai, Tamil Nadu

The job involved in life-actuarial calculations done in python for a real time projectI was responsible for the designing of python notebook and also assisted them in the back end coding for the calculations

Oct 2017 - Dec 2017
Team & coworkers

Colleagues at KINSHIP Digital

Other employees you can reach at kinshipdigital.com. View company contacts for 20 employees →

2 education records

Yogesh Ravi Krishna education

FAQ

Frequently asked questions about Yogesh Ravi Krishna

Quick answers generated from the profile data available on this page.

What company does Yogesh Ravi Krishna work for?

Yogesh Ravi Krishna works for KINSHIP Digital.

What is Yogesh Ravi Krishna's role at KINSHIP Digital?

Yogesh Ravi Krishna is listed as Professional Services Consultant at KINSHIP Digital.

Where is Yogesh Ravi Krishna based?

Yogesh Ravi Krishna is based in Canberra, Australian Capital Territory, Australia while working with KINSHIP Digital.

What companies has Yogesh Ravi Krishna worked for?

Yogesh Ravi Krishna has worked for Kinship Digital, Fair Work Commission, Cognr - Ai & Data Science, Maple Plan, and Junovate.

Who are Yogesh Ravi Krishna's colleagues at KINSHIP Digital?

Yogesh Ravi Krishna's colleagues at KINSHIP Digital include Sharmaine Mercado, Mark Green, Francois Le Grange, Trisha Dajie, and Oscar Allan.

How can I contact Yogesh Ravi Krishna?

You can use AeroLeads to view verified contact signals for Yogesh Ravi Krishna at KINSHIP Digital, including work email, phone, and LinkedIn data when available.

What schools did Yogesh Ravi Krishna attend?

Yogesh Ravi Krishna holds Master'S Degree, Data Science, 72 from Monash University.

What skills is Yogesh Ravi Krishna known for?

Yogesh Ravi Krishna is listed with skills including R Shiny, R, C, Mongodb, Dialogflow, Linear Regression, Data Analysis, and Tableau.

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