Talent's Information
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Location
Pune, India
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Rate
$13.0 per Hour
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Experience
4 Year
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Languages Known
English,Hindi
Available for
About VIVEKANAND
Skilled Data Engineer / Data Scientist with functional expertise in python, data modeling, SQL, MySQLandMongoDB.
Good hands-on experience of building data engineering processes, EDA, developingMLmodels,API creation using Flask, Data Wrangling.
Tech Stack Expertise
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MySQL
MySQL
0 Years -
AWS
AWS S3,AWS EC2
0 Years -
Python
Python
0 Years -
Go Lang
VSCode
0 Years -
Node JS
Express
0 Years -
HTML
HTML
0 Years -
Microsoft SQL Server
SQL
0 Years -
MongoDB
MongoDB
0 Years -
Microsoft .Net
Rest API
0 Years
Work Experience
Data Engineer
- January 2019 - January 2023 - 4 Year
- India
Projects
Model Retraining For A Feedback-based System
- June 2022 - October 2022 - 5 Months
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Aim to provide a simple blueprint for automated model retraining using Python andMLalgorithms.
Data stored in MySQL database is retrieved using python and python libraries.
It includes splitting of the data set into a training and testing set, generates featuresfromtherawdata,
and performs hyperparameter tuning. The end result is a trained model foundthroughsomesearch procedure.
Model is serialized it needs to be stored in AWS S3, so that it can be easily retrievedat inferencetime.
: Document Classification System
- July 2021 - January 2022 - 7 Months
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Document classification is an example of Machine Learning (ML) in the formof Natural LanguageProcessing (NLP).
It involves Text-Pre-processing, Dynamic Language modeling, Natural Language Processing.
TF-IDF is used to find the features of intra-class documents.
Created ML model for prediction, API using flask framework and deployed model oncloud.
Business Lending Solutions
- June 2020 - February 2021 - 9 Months
- Exception Handling
- Xgboost
- Jupyter Notebook
- Flask web framework
- File handling
- LogisticRegression
- Sqlite3 database
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We have automated the loan approving process. It includes the identification, structuringandexecution
of transactions for its clients in diverse industries and geographies.
Consolidate credit card debt, cover medical expenses, or make needed home improvements,apersonal
loan can help you get it done fast. Created ML model for prediction, API using flask framework
and deployed model oncloudforautomated loan approval process
Power Demand Forecasting Using Time Series Analysi
- December 2019 - May 2020 - 6 Months
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Building an AI-controlled programming, that will establish an ideal climate and savepower.
The organization improves on giving conveyed power interest, during the pinnacleandsimultaneously cutting the interest at least utilization.
Models might be chosen for evaluation based on the presumptions they make andregardlessofwhether the data sets conform
The model is used to make forecasts and the performance of those forecasts is evaluatedandskillof the
Python Based Rest API
- April 2019 - September 2019 - 6 Months
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Rest API to help client to onboard their customers using nation ID’s (NID) like pancard, etc.
This has helped the business to seamlessly identify their customers and provide verificationwithleast manual interaction.
Restful APIs were created with python 3.8 and Kafka was used for asynchronous datastorage.Mongo 6.0 is used for data storage.
Data is stored as JSON and synchronized in real-time to every connected client.
Soft Skills
Industry Expertise
Education
in Bachelor Of Engineering
Pune University- June 2012 - June 2014
