Résumé

Data Engineer

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PROFILE

Enthusiastic Data Engineer eager to contribute to team success through hard work, attention to detail and excellent organizational skills. Experience of Data engineering,Machine Learning and Data handling using python and SQL. Motivated to work, learn, grow and excel in organization.

SKILLS

• Programming Languages
  • Python
  • Typescript
• Databases
  • SQL
  • MongoDB
  • CouchDB
• AI
  • Machine Learning
  • Deep Learning
  • Tensorflow
  • Scikit-learn
• Docker
  • docker-compose
• Orchestration
  • Terraform
  • Kubernetes
• AWS
  • RDS
  • EC2
  • Redshift
  • Kinesis Data Streaming
  • Glue
  • QuickSight
  • S3 bucket
  • Lambda Functions
  • DynamoDB
  • CDK
• Dashboard
  • Metabase
  • AWS QuickSight
  • Tableau
• 3D Modelling
  • Autocad
  • CATIA V5

EXPERIENCE

Data Engineer - Affinidi Oct 2021 – now

• Data engineering pipeline infrastructure design, implementation, and deployment
• Data-driven solutions, covering from experiments to go-to-production.
• Onboarding developers to use our data infrastructure (to collect data they want to analyse for their application), this will include proper documentation, and training
• Data-related service development such as billing service

Data Engineering Intern - Affinidi Aug 2021 – Oct2021

• Using AWS services - Kinesis, Glue, Redshift, Quicksight to create cloud native Dashboard
• Create Streaming Service which can stream data to AWS Kinesis using Typescript
• Coupling above streaming service to different frontend and backend components.
• Create AWS Glue scripts to transfer data to Redshift.

Intensive Data Science Bootcamp - Spiced Academy Jan 2021 – April 2021

• 480 hours of Intensive Data Science Bootcamp Training.
• Supervised and unsupervised machine learning.
• Operating with data in SQL and NoSQL databases and building Dashboards.
• Using python to collect, analyze data as well as data visualization focusing on the powerful scientific package libraries.
• Deploying code on cloud servers using docker and AWS

Design Engineer - Neeraj Engineering September 2015 – November 2017

• Supported engineering design development through analysis and simulation of prototype and 3D computer Models.
• Involved in the tasks of planning execution and guidance of employees in area of Mechanical Design Development

PROJECTS

Classification (Titanic Dataset) Jan 2021 – April 2021
Python, Pandas, Numpy, Matplotlib, Seaborn, Scikit-learn and Stats-model.

Dashboard Jan 2021 – April 2021
PostgreSQL, AWS RDS and EC2, Metabase.

Data Pipeline Jan 2021 – April 2021
Docker, Tweepy API and Slack bot , MongoDB , PostgreSQL, ETL Jobs Airflow.

Classification of Cloths in Fashion Jan 2021 – April 2021
MNIST Dataset using Neural Network: Tensorflow-Keras

Recommender System Jan 2021 – April 2021
NMF-Model, Web development using Flask, CI/CD.

Android Apps Classification Jan 2021 – April 2021
Web Scrapping, Docker, ETL Jobs Airflow, NLP, Text-Classification with Transformers.

EDUCATION

Savitribai Phule Pune University, Pune, India
Bachelors in Mechanical Engineering

MSBTE Mumbai University, India
Diploma in Mechanical Engineering