
SRE@PhonePe
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
PhonePe
Data Scientist
June 13, 2026 – Present
TraefikAndMesos
April 30, 2022 – April 30, 2022
1. Route requests from nginx via traefik to your docker app. 2. Setup a single mesos-master, marathon and mesos-slave. Try launching a docker app via marathon on the mesos-slave.
View ProjectTask15
April 3, 2022 – May 2, 2022
Riemann Tasks 1) Who monitors the monitor ? Based on your understanding of the monitoring stack - identify what could break monitoring - will you be able to identify when component within monitoring stack goes down. If so how - how can you bring redundancy here You can give a writeup ( use diagrams if you like to convey better ) 2) Setup Riemann - bring up toy riemann server whose job is to print/log events to stdout as events come. -write a plugin/script in a language of your choice to monitor server load avg every min and send as event to riemann (Clients are available - https://riemann.io/clients.html) - setup riemann-dashboard that displays riemann's index (in memory state of current events) and create a dashboard to see load event being sent (https://riemann.io/dashboard.html) - See if you can combine Riemann server and Riemann dash installation as docker container.
View ProjectTask12
March 20, 2022 – March 20, 2022
RMQ: Install and configure 1 node RMQ cluster version 3.8.9 The RMQ cluster should be on TLS and have a username/password Data should be persisted on disk Add 2 more nodes to the cluster without restarting RMQ service on first one Create a vhost and a user with read-write permissions to the vhost Create 2 queues (DATA, DATA_SIDELINE) on the above created vhost Testing : Create a publisher and consumer for the DATA queue Publish 100 messages to DATA queue Aerospike: Install and configure 1 node Aerospike cluster community edition The AS cluster should have a username/password Data should be persisted on disk Add 2 more nodes to the cluster without restarting AS service on first one Create a namespace Orders Testing: Write a program using an AS client to write and read the data from AS The namespace should have the following sets (buyer details, product details) Each set should have 3000 records. The records should have an expiry of 24h
View ProjectTask16
March 15, 2022 – March 15, 2022
Over a container, setup a server serving an api /howareyou Machine 2: Setup a server using nginx that serves as front (reverse proxy) to container running in machine 1 Proxy server should return request for /howareyou when queried.
View ProjectTask22
March 12, 2022 – March 13, 2022
Setup yarn in pseudo-distributed mode Task2: Run sample mapreduce jobs on a input file of your choice & share the results in a word doc Read up on various failure scenarios for an application and share your observations in a word doc.
View ProjectTask21
March 12, 2022 – March 13, 2022
Create a Pseudo-distributed mode hbase cluster, with local storage. Create a table. Insert data into the table. Split the table.
View ProjectTask20
March 11, 2022 – March 13, 2022
HDFS Tasklist Task 1: Setup a single node hadoop cluster. Task 2: Perform the following operation post cluster setup and share the result in a google doc. - List Files. - Read/Write Files. - Upload/Download Files. - File Management. - Check Ownership and Validation.
View ProjectPrediction-using-Unsupervised-ML
May 10, 2021 – May 10, 2021
Prediction-using-Unsupervised-ML — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a breadth of technical exploration, from machine learning to distributed systems and infrastructure. This indicates a proactive learning attitude. However, the projects are primarily personal and lack details on team collaboration or impact, making a comprehensive cultural fit assessment challenging. The target role is Data Scientist, and while there are relevant projects, the diversity also suggests a broad interest rather than deep specialization in data science alone.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. Project descriptions are brief and do not detail collaboration or problem-solving approaches.