Integrated Post Graduation

X and XII

Working with the Data Engineering team to enable high-performance data access across the organization with ease of use and cost benefits.

Software Engineer - Big Data

Writing lecture scripts on Data Engineering concepts and delivering Big Data Masterclasses

Instructor

Project Title: Atmospheric Dispersion Modelling to plot the concentration level of effluents

Implemented Python modules to plot the way contaminants (smoke and other dust particles emerging from multiple chimney stacks) get dispersed in the atmosphere

Worked in association with Council of Scientific & Industrial Research | CSIR | GoI - National Environmental Engineering Research Institute, Delhi

Research And Development Intern

Learnt the essence of Artificial Intelligence and Security in current Information Technological world.

Secure and Private AI Scholarship by Facebook

Built a monitoring and notification system on top of the provided database

The application keeps track of leads generated through different ad sources (Google Ads, Facebook Ads, etc.) and notifies analysts whenever this data deviates from usual days/weeks/months

Developed an interactive GUI where analysts/stakeholders can create events to track any sudden changes in some values and alert as soon as a threshold is breached

Software Engineer Intern

Worked on the asset inventory of Google Cloud Platform to monitor asset changes. Created asset feeds, subscribing to which one will receive immediate updates about any changes for the desired asset names or asset types in GCP (primarily developed for Google Kubernetes Engine)
This includes all asset creation, update, and deletion history in the five weeks

Product Engineering Intern

Worked around the Big Data ecosystem to implement Data Pipelines(ETL) in AWS

Built a monitoring  system (dashboards and alerts) to keep track of delays and failures of different pipelines (RDS to Redshift, DynamoDB to Redshift) and send refined alerts with all the required details to Slack, PagerDuty

Software Engineer at Atlys | Former CRED, Gojek

github

productHunt

Prashant K Tiwari • Software Engineer - Big Data at CRED • Peerlist Profile

Technologies: Python3, Django3, PostgreSQL, API, Web-Scrapping and Regex
Implemented modules to check PNR status, trains between two stations, seat-availability, and class-wise fares.
Also included different travelling destinations for holi

RailBuddy | For all your train related queries

Brainwaves are captured and analysed to understand various brain activities. Used Attention, Meditation and Eyeblink strength to drive the wheelchair to manoeuvre individuals with mobility impairments [Electroencephalography (EEG), BCI]

Brain Computer Interface based Smart Wheelchair

Developed a machine learning model to process the signals captured from inertial sensors in the smartphone.
Classified human activities into static and dynamic postures (like standing, walking upstairs, walking downstairs, sittingetc.), as 

Recognition of human activities using smartphone | Machine Learning

It's an android application which sorts the blood-related issues. Its major sections include:
• Request Blood: The user gets nearby Blood Banks with the requested
Blood Group and Quantity
• Donate Blood: Volunteers may donate to nearby and 

Be + (Be Positive) | Android Application

Official Android application for the Grand Fest of the institute, MOM-2K18 (incorporated in IIITM Network)

Hiring Talent?

Prashant K Tiwari

Software Engineer at Atlys | Former CRED, Gojek