Hi, I’m Deepak, lives in New Delhi, India. I have completed my B.E from NSIT Delhi, with a specialisation in instrumentation and control engg. Now i am working as a Software engineer at Pplfy Analytics, We’re a kick-ass startup bringing real-time, intelligent, and interactive analytics for Digital marketing. When I’m not trying to build, I use statistics and machine learning to solve our analytics problems. Being a jack of all trades, sometimes I also build front-end applications, dashboards and visualisations to interact with data products. You do need good storytelling for good data. In the past I’ve worked as a Software engineer at Eduspace Technology, Pune ,India.So yeah, I have my fair share of startup experience, and the usual get sh*t done attitude that comes with it. I’m also really into indie rock, travelling and caffeine.
Deepak Mehta
Delhi
Mobile : +917503959545
Email : deepak_mehtansit@yahoo.com
B.E in instrumentation and control engg• May 2017
Senior Consultant | Big Data Engineer• Jan 2023 - Present
• Worked closed with stake holders to understand business requirements to
design quality technical solutions that align with business.
• Experience in building event driven data pipeline using python and aws
services like aws eventbridge, sqs, lambda, EMR, kinesis, firehose, glue,
athena, dynamodb etc.
• Designed and implemented a scalable data architecture to process real time
data using python and aws kinesis streams, firehose, s3, dynamodb etc.
• Monitor and troubleshoot data pipeline and infrastructure using AWS
cloudwatch and other monitoring tools.
• Implement data security and access controls using AWS IAM and KMS.
• Using Infrastructure as code to deploy AWS infrastructure with AWS
CDK and python for resource provisioning as well as managing security
policies.
Senior Software Engineer• March 2019 - Jan 2023
• Designed and developed a platform using Python and Flask web
framework with AWS DocumentDb database as backend and angular as
frontend, for social media marketing, we have integrate Facebook,
Youtube and Twitter Api’s with oauth2 module for login and uploading
posts from our platform, getting their post/page
insights(impressions/engagement data)
• Built serverless api’s using AWS lambda and Api gateway.
• Designed and implemented a data pipeline to process semi-structured data
using AWS services like S3, Batch, Athena, Elasticsearch and stored raw
data in S3 and processed data in Elasticsearch.
• Built and deployed Docker containers for implementing AWS Batch.
• Implemented AWS cloud platform and its features which includes EC2,
VPC, EBS, AMI, SNS, EBS, Cloud Watch, Cloud Trail, Cloud Formation
AWS Config, Auto scalling, Cloud Front, IAM, S3, SES, R53 etc.
• Implemented AWS COMPREHEND for sentiment analysis and
Rekognition for image and video analysis.
Software Engineer• Jan 18 - March 2019
• Wrote data collection python scripts and it will generate reports for customers.
• Mono-tracker an IOT based project, used for calculation of device height.
• Built web scrapper in python that got data from different websites then built an
ETL which loaded data into Mongodb.
Worked with Vivek, Chetna, Jain Mohit, Rani Asha, Singh Vijander to build nature inspired optimization algorithm used to finds the optimum solution for black box optimization problem by using G programming with the help of genetic algorithm.
The efficiency of the proposed toolkit is validated on a test bed of five standard benchmark functions.
The statistical analysis of results shows that the MVO is far better in solving optimization problems as compared to DE.
Scraping the basic institute details like institute name, category(engineering or neet), address, email and phone number from a website
using python, beautifulsoup and selenium libraries, wrote this data to an excel sheet.
Sentiment analysis - predicting the movies polarity(it is a bad or a good movie) using movies reviews from IMDB website.
for analysis i used python sklearn, nltk modules.
Twitter Sentiment Analysis on coronavirus tweets using Textblob
AnalyticsTrain and save a model Here's the link https://github.com/Deepakmehtansit/deploy_ml_model/blob/master/adclick_prediction.ipynb code to building a simple classification model and then saving the model by serializing it using pickle,
Python pickle module is used for serializing and de-serializing a Python object structure.
The idea is that this character stream contains all the information necessary to reconstruct the object in another python script
Deepak Mehta
Delhi
+917503959545
deepak_mehtansit@yahoo.com