Summary
Overview
Work History
Education
Skills
Accomplishments
Timeline
Generic

Aishwarya Walkar

Pune

Summary

  • 3.5 Years of overall experience including Business strategy, data engineering and Machine learning.
  • Proven experience of building OCR application, Time series analysis and Recommendation system using NLP.
  • Familiarity of Cloud platforms including AZURE,AWS and DATABRICKS.

Overview

4
4
years of professional experience
4
4
years of post-secondary education

Work History

Analytics Consultant

InfraBeat Technologies
11.2021 - 12.2022
  • Project Title :- Time series Analysis
  • Analyze behavior of Monthly net amount as per Bill date, state level and product level analysis done for better accuracy.
  • Forecasting of Sales and Budget management.
  • Project Title :- Resume recommendation system (NLP Project)
  • Text analytics of Resume dataset with NLP includes data cleaning, implementing TF-IDF and Count vectorizer, building multiclass classification model, use of cosine similarity to measure how similar the documents are irrespective of their size, tokenization, stop words removal.
  • Selecting Resume from 1000 resumes will take 83.33 hours i.e considering 5 minutes each resume. Here we get top 10 resumes as per requirement in one click.
  • Project Title :- Azure Form Recognizer invoice model (Logistic company)
  • The form recognizer invoice model combines Optical Character Recognition capabilities with invoice understanding models to analyze and extract key fields and line items from sales invoices.
  • End to end project cycle which automates the process, reduces cost and increased customer satisfaction. We get metadata which is ready for further Electronic workflow and business processing.
  • Project Title :- AWS Data engineering (Manufacturing Company)
  • Amazon AppFlow to extract data out of SAP through Odata protocol and storing in Amazon s3.
  • AWS glue job to take data from S3 to MS sql on EC2, scheduling Glue job using AWS cloudwatch cron expression.
  • Created Amazon API gateway (Rest API) to access records from S3, API gateway which triggered lambda function, it reads those parameters and send response back to API, final test on Postman.
  • Project Title :- Databricks Feature store to Azure sql database
  • Creating Azure Databricks workspace,Feature engineering (pyspark), partitioning, publishing Feature table to Online store i.e Azure SQL database

Analytics Intern

Infrabeat Technologies Pvt Ltd
08.2021 - 10.2021

Research Intern

Code karo yaro
05.2021 - 07.2021

Question answering system based on Natural language processing and Azure AI, SPARQL query, Machine learning.

Sales and Marketing Engineer

Vindonnus Technologies (Client :- Donit)
06.2019 - 02.2021
  • I appointed 2 partners in India i.e Andhra Pradesh and Odisha.
  • Collaborated with business team to coordinate sales and marketing plans by contacting various organizations.

Business Development Executive

Anosales LLC
03.2019 - 05.2019
  • Translated customer needs into solution requirements using powerful value propositions and negotiation skills.

CII Trainee

Forbes Marshall
12.2018 - 03.2019

Got a 5th prize for Project idea "Smartly digital" where I hypothetically outlined production process :- Data acquisation, communication, presentation and monitoring digitally using IOT sensors and gateway.

Education

Diploma - Mechanical Engineering

Government Polytechnic
11.2011 - 06.2013

Mechanical Engineering

Sinhgad Institute of Technology And Science
08.2014 - 06.2017

Skills

  • Languages :- Python, SQL

  • Cloud Services :- Azure Cognitive services, building pipelines using Azure data factory, AWS DMS, S3, Glue, Crawlers,CloudWatch events, EC2, creating IAM roles,

  • Databricks feature engineering and feature store, Understanding of data engineering in Databricks

  • Understanding of MLOPS, Model deployment in AWS Lambda and Sagemaker

  • Supervised ML Algorithms

  • Hands on experience of Azure AutoML

Accomplishments

    International Journal of Creative Research Thoughts

    Features selection and Regression analysis to predict weight of Fish
    1. To point out the important predictors.
    2. To obtain the appropriate regression model.


    Project title :- SWIFT hackathon, August 2021
    Challenge "Enhancing the accuracy of
    anomaly detection in payments".
    I lead team
    of 3 and supervised completion of Project.
    Classification problem. Another use case was
    for Anomaly detection in transaction like
    Banking, Finance sectors etc. You can even use
    it in Inventory/Stockist analysis. Our final score
    ranked 11 out of 110 worldwide.

Timeline

Analytics Consultant

InfraBeat Technologies
11.2021 - 12.2022

Analytics Intern

Infrabeat Technologies Pvt Ltd
08.2021 - 10.2021

Research Intern

Code karo yaro
05.2021 - 07.2021

Sales and Marketing Engineer

Vindonnus Technologies (Client :- Donit)
06.2019 - 02.2021

Business Development Executive

Anosales LLC
03.2019 - 05.2019

CII Trainee

Forbes Marshall
12.2018 - 03.2019

Mechanical Engineering

Sinhgad Institute of Technology And Science
08.2014 - 06.2017

Diploma - Mechanical Engineering

Government Polytechnic
11.2011 - 06.2013
Aishwarya Walkar