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Cloud, Bigdata and Machine Learning
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python-random-quote
August 20, 2022 – August 20, 2022
A file-based quote bot written in Python
View Projectgithub-slideshow
August 20, 2022 – August 20, 2022
A robot powered training repository :robot:
View Projectjava-enterprise-applications
May 8, 2021 – May 8, 2021
Java Enterprise application examples MongoDB, hibernate, spring boot and database connection
View Projectdesign-patterns-best-practices
May 3, 2021 – May 6, 2021
Java Object-Oriented Principal, Effective Java and Memory Management Examples
View Projectspark-examples
April 26, 2021 – May 18, 2021
Spark examples give quick overview of the Spark API using java and python
View Projectmachine-learning-examples
March 25, 2021 – June 2, 2021
machine learning examples in python numpy, pandas, keras and tensorflow 2
View Projectdatastructures-algorithm-python
March 18, 2021 – November 22, 2021
Learning algorithms and data structures in python
View Projectdatastructures-algorithm-java
April 22, 2014 – May 8, 2021
Data Structures and Algorithms Problems asked during the coding interviews in companies like Amazon, Microsoft, Facebook, LinkedIn, Adobe, Uber, Yahoo, eBay, and etc
View Projectexpensetracker-android-application
April 14, 2014 – May 8, 2021
Expense Tracker is simple, easy to use Android application which use to track the expenses from Alert/SMS messages from the Banks. The user can enter customized expenses and configure the bank Alert/SMS message origination address
View ProjectCultural Fit Analysis
The candidate's project portfolio is diverse in terms of technologies (Java, Python, Spark, ML frameworks) but primarily consists of personal projects. While this shows initiative, the lack of team-based or larger-scale projects makes it difficult to assess cultural fit, collaboration experience, or alignment with a typical corporate environment. The projects lean heavily towards software development and data engineering, with some exposure to machine learning, which partially aligns with a Data Scientist role. However, the depth of data science specific projects is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise and technical, but do not provide insight into collaboration, problem-solving approach, or communication style.