Click Through Rate Analysis using Spark
In recent years, programmatic advertising is been taking over the online advertisement industry. To enable automatic selling and purchasing ad impressions between advertisers and publishers through...
1
Ayush Pandey
Mentor
(97 reviews)
US$15.00
For every 15 mins
154
Sessions/Jobs
ABOUT ME
Get the best or money back! Speaker at JuliaCon'16 at MIT| Invited to speak at JuliaCon'17 at UC Berkeley
Get the best or money back! Speaker at JuliaCon'16 at MIT| Invited to speak at JuliaCon'17 at UC Berkeley
I am a Senior Backend Engineer at Tier Mobility SE based in Munich, Germany.
Before moving to Berlin, I was an Assistant Tech Lead at Adacta Fintech based in Slovenia spearheading the development of insurance solutions for Europe-based companies such as the Sava and DVA Insurance while honing my skills as a full-stack engineer.
Before plunging into software development, I was a Machine Learning Engineer at Zemanta, an Outbrain Company where my day-to-day work involved implementing and analyzing the real-time machine algorithms and integrating them with the bidder infrastructure.
Before moving to Slovenia, I worked as a Product Engineer at Sprinklr, India where I was involved in implementing the machine learning module in the data flow execution pipeline using Kafka, Spark, and Spring frameworks.
Hindi, English
Berlin (+01:00)
Joined May 2019
EXPERTISE
10 years experience | 3 endorsements
Been coding in python for about 10 years now. I have extensively used Python at all my workplaces and projects.
Been coding in python for about 10 years now. I have extensively used Python at all my workplaces and projects.
6 years experience | 4 endorsements
Worked with datasets ranging to millions of rows using Pandas. This has been my bread and butter for about fouryears, helping me play a...
Worked with datasets ranging to millions of rows using Pandas. This has been my bread and butter for about fouryears, helping me play around with any dataset I have at hand.
2 years experience | 2 endorsements
I have been using Deep Learning for building text classification models at my present and previous work.
I have been using Deep Learning for building text classification models at my present and previous work.
2 years experience | 4 endorsements
4 years experience | 1 endorsement
1 year experience
1 year experience
REVIEWS FROM CLIENTS
(97 reviews)
loutsi
June 2021
This mentor is pure cold!! He knows in depth the data science world and always come up with the best solution. High recommended for anyone that want an expert in a logical price.
loutsi
February 2021
always very helpful with deep knowledge of python and machine learning
Abdullah Alshamali
December 2020
Very helpful if you need to learn mathematics at a higher level with useful live sessions
Abdullah Alshamali
December 2020
Really good mentor for mathematics and data analysis
Abdullah Alshamali
December 2020
Very helpful and experienced tutor, really assisted me with learning a coding language few tutors were willing or knowledgable enough to mentor on.
loutsi
November 2020
Excellent tutor with a lot of experience. No risks here.
Ali Z
November 2020
My session with Ayush involved Deep Neural Networks. He explained to me what a neural network is, and showed me how to implement it based on the data I have.
Abdullah Alshamali
November 2020
Helped me to the best of his ability, knowledgable and friendly service.
F Sala
November 2020
Ayush is my go-to for my machine learning projects. He's helpful, direct and very patient all throughout the learning process. He's quick in detecting errors and provides immediate solution whenever he can.
Ryan Arab
October 2020
Ayush was very knowledgable and is willing to go as deep as required in explaining concepts/principals. He was fast at getting what is required and considering the session time. He was honest and fair at pausing session when required.
SOCIAL PRESENCE
Linear-Programming
C++
19
17
Heuristic-Optimization
Python
2
5
When does traditional classification algorithm fail?
One of the most intriguing Machine Learning problems that I have come across was during my 3rd year in the college where a startup named Quantta Analytics presented us with the problem statement...
One-Class Classification Algorithms
In my previous blog entry (../when-does-traditional-classification-algorithm-fail/), I have put forth a case for when the traditional classification algorithms do not perform well i.e. when the...
EMPLOYMENTS
Senior Backend Engineer
Tier Mobility
2022-06-01-Present
<a href="https://www.linkedin.com/in/ayushiitkgp/overlay/urn:li:fsd_profilePosition:(ACoAAA3iIp4BT-jgQRC7itOjhfCJ2eBqLPHE4Bw,198615040...
Python
Docker
Kubernetes
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Python
Docker
Kubernetes
Circleci
Terraform
AWS
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Assitant Tech Lead
Adacta Fintech
2020-09-01-2022-06-01
Leading a team of software engineers to spearhead the development of insurance solutions for DVA Insurance.
Organizing sprint groo...
Leading a team of software engineers to spearhead the development of insurance solutions for DVA Insurance.
Organizing sprint grooming, planning, and reflections for the team
Onboarding new members of the team
Tech stack: Javascript, C#, Gitlab CI/CD, Docker, SQL, Elastic Search, FinTech
C#
MySQL
JavaScript
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C#
MySQL
JavaScript
CI/CD
GitLab CI/CD
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Deep Learning Engineer
EventRegistry
2019-05-01-2020-09-01
Developed data science pipeline for a new product using deep learning based text classification models and deployed it using rest API....
Developed data science pipeline for a new product using deep learning based text classification models and deployed it using rest API. Wrote python jobs to extract organizations, products, and locations from Wikidata periodically.
Python
Deep Learning
TensorFlow
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Python
Deep Learning
TensorFlow
Keras
RESTful API
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PROJECTS
Machine learning tools for classification of qualitative traits of differential equation solutions View Project
Julia Programming Language
2017
Implemented weighted non-linear regression, regularization, two-stage, and multiple shooting techniques to estimate the parameters of dif...
Implemented weighted non-linear regression, regularization, two-stage, and multiple shooting techniques to estimate the parameters of differential equations which has its applications in HIV-AIDS viral dynamics study.
Wrote API to estimate the probability distribution of the parameters using Stan without having to write the stan code.
Git
Machine learning
Statistics
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Git
Machine learning
Statistics
Mathematics
Julia
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Support for Optimization with Complex Numbers in Convex.jlView Project
Julia Programming Language
2016
Implemented support for optimization with complex variables in Convex.jl making it the first open-source package to support the above fun...
Implemented support for optimization with complex variables in Convex.jl making it the first open-source package to support the above functionality and has many applications in quantum physics and AC power circuit optimization.
Wrote the sample tests, documentation, examples and blog entries to encourage optimization community to use Convex.jl.
Git
Mathematics
Julia
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Git
Mathematics
Julia
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