Engineer Data
Resume:
PRACHI TYAGI
Machine learning Engineer
CHENNAI
www.linkedin.com/in/prachi-tyagi-277a6aa2
Computer Science and Engineering
Vellore Institute of Technology
**/**** – 06/2017 7.35
communication
Intermediate Education
Meerut Public School For Girls
06/2011– 04/2012 83.6
Class 10th
S.D Public School 9.6
06/2009 – 04/2010
CESIT Pvt Ltd:
Machine Learning Engineer
Tasks
10/2018– 12/2018
Achievements/Tasks
Online Courses:
Edx Projects
(03/2018 – 4/2018)
Using a sample dataset in Microsoft azure, the time by which a flight may get delayed was predicted .The data set included features like arrival time,departure time,airport ids etc.These features were used to predict the arriva- delay label.This included cleaning,visualizing,
..
SKILLS
Python Machine Learning
C Azure ML Algorithms
DS C++
ETL Testing communication Team player
PERSONAL PROJECT
CERTIFICATES
- Data Science Essentials from EDX.(2months)
- Data Science,Deep Learning And Machine Learning With Python— Udemy(2months)
*******.*******@*****.***
04/2019-present
Chennai
12/2017 – 04/2019
The input is taken as 1-D images and used to analyse the handwriting of Worked in a team to collect data from google API
to export it to SQL database,which was used to create QV reports. Two months of training in Python
Predicting flight delays using Data Analytics in Microsoft Azure
- Community Detection using Graphs (4/2019 - 05/2019) To explore the benefits of graph data in Machine Learning, Neo4j Graph algorithm Api was used in order to perform community detection.
Handwriting Recognition
(08/2018 – 09/2018)
Cognizant Technological Solutions
Trained in Python
Naresh I Technologies
EDUCATION
WORK EXPERIENCE
Transaction Filtering using LSTM with Keras
-Worked in a motivated team to improve alert system for AML,previously based on legacy,using NLP and
LSTM for transaction classification.
Training
Unsupervised Clustering of Medical Corpus
PoC for clustering of medical symptoms
as denoted during sessions by medical professionals to identify possible psychological illness it may point to. Trained in Python,Machine learning,SQL,Datawarehousing concepts. Machine Learning Engineer
Python Developer
NLP Deep learning
Developed a flask service to study consumer behaviour for a banking client. The purpose was to flag the customers which could be credit deafulters. Using MNIST data for handwriting recognition using tensorflow. people.The efficiency of the prediction can be improved using keras.
Web Scrapping for data collection (Present)
Used HTML,CSS tags
,Selinium to retrieve data for ticket booking
websites.The data was made available through a command line utility, with log collection,scheduling enabled.
SQL Data Structure
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