Solution Aarch expert in - - Spring Boot application , Microservices , Spring Kafka ,Docker and Open source, Devops - Machine learning - Deeplearning
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freelancer
Data Scientist
June 21, 2026 – Present
research_script
August 15, 2019 – February 7, 2020
Time is the most precious resource that human being has. According to a survey an average American is spending 2340 mins in traffic and conditions are worst in many well-developed cities like Los Angeles, where on an average commuter are spending 6120 hours in traffic jams. These non-productive hours could be used for many novel and humanitarian work. The goal of this research is to predict the traffic week in advance which will help commuter to plan his/her days better. This will lead us to have a better work-life balance, less traffic, better ecosystem in terms of pollution, fuel saving and more productivity.
View Projectai
June 16, 2019 – June 16, 2019
Generative adversarial network (GAN)- Two neural networks contest with each other in a game (in the sense of game theory, often but not always in the form of a zero-sum game). Given a training set, this technique learns to generate new data with the same statistics as the training set. For example, a GAN trained on photographs can generate new photographs that look at least superficially authentic to human observers, having many realistic characteristics. Though originally proposed as a form of generative model for unsupervised learning, GANs have also proven useful for semi-supervised learning,[2] fully supervised learning,[3] and reinforcement learning.[4] In a 2016 seminar, Yann LeCun described GANs as "the coolest idea in machine learning in the last twenty years".[5]
View Projectkafka
November 24, 2017 – June 24, 2018
Apache Kafka is an open-source stream-processing software platform developed by LinkedIn and donated to the Apache Software Foundation, written in Scala and Java. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.
View Projectcamel
November 24, 2017 – July 1, 2018
Apache Camel POC Project. Camel is an open source integration framework that empowers you to quickly and easily integrate various systems consuming or producing data.
View Projectmachinelearning
November 5, 2017 – May 1, 2018
machine learning with Spark -R implementation. SVM is used to identify the handwritten numbers. Liner regression is used to find out/predict house price. Supervised learning.Linear regression for regression problems. Random forest for classification and regression problems. Support vector machines for classification problems.
View ProjectCultural Fit Analysis
The candidate shows initiative through several personal projects related to Data Science, Machine Learning, and even some backend technologies (Kafka, Spring Boot, Camel). This indicates a proactive learning attitude. However, the projects are all personal and lack details on collaboration or team involvement, making it difficult to assess cultural fit comprehensively. The breadth of technologies (Python, R, Java) suggests adaptability, but the depth of engagement in each is unclear.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's experience is listed as 'freelancer' with a future start date, and no psychometric or English test scores are available.