Ajinkya Jawale

Bangalore · KA, India · +(91) 8698370304 · ajinkyajawale14499@gmail.com

Passionate Data Engineer holding bachelor's degree in Computer Engineering from Pune University, Pune, IN. I Love to build Visionary products which will impact the customers and users with the help of Advance Analytics Solutions

DATA ENGINEERING | DATA SCIENCE | ETL | PYTHON | DATA PIPELINES | AWS | MACHINE LEARNING

I love to travel & read books.


Experience

Data Engineer

Wizely

Data Engineer at Fintech Startup Buidling India's first financial wellness plaform for your financial freedom!

  • worked on various bussiness & technical problems, provided the analytics solutions to improve marketing, product, operations & sale metrics.
  • Created ML based NLP framework for sms text processing and near real time anlytics
  • Built Data science reporting tools for stakeholders
  • July 2020 - Present

    Machine Learning Engineer Intern

    NASSCOM

  • Worked on python backend development project to detect the traffic voilation
  • deployed deep learing models in production using AWS Lambda
  • March 2019 - May 2019

    Education

    University of Pune

    Bachelor of Engineering
    Computer Science & Engineering

    GPA: 8.11

    August 2016 - June 2020

    Skills

    Programming Languages

    Tools

    Databases

    Data Science & Machine Learning Skills

    Projects

    Jeevn.ai

    Web Platform for Medical Image Processing: (Academic research project)

    June 2019 - Jan 2020

  • Python web application which helps doctors in the diagnosis of patients. Deep learning Classifier for detecting the disease in patients using X-ray & MRI scans using RestApi.
  • Tools:- Python, Tensorflow, Flask, RestApi, MySQL

  • Big Data Analytics Platform:

    Winner- Smart India Hackathon

    Jan 2020

  • Designed a distributed computing machine learning model which predicts early diagnosis alerts for sepsis disease using time series modelling and apache spark framework
  • Tools:- Pyspark, python, Time Series Analysis, Scikit-learn.

  • AI-Based Course Recommender systems:

    Thoughtworks Hackathon

    May 2019

  • Created a platform where student, professionals can search courses, keep track of the progress.
  • Tools:- Machine Learning, MongoDB, Docker, MySQL, LSTM etc.

  • Research

    Volunteership