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I am a working professional whose passion lies in building great products that connect with the real world, with hands-on industrial experience in Java & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Target
Data Scientist
June 14, 2026 – Present
QuestionAnswerLLM
October 7, 2023 – October 7, 2023
Context based QuestionAnswer with Qdrant vector db and llm
View Projectjoins-with-spring-data-r2dbc
June 1, 2023 – June 1, 2023
joins-with-spring-data-r2dbc — GitHub repository
View Projecttensorflow-install-mac-metal
April 16, 2023 – April 16, 2023
Install tensorflow-install-mac-metal
View Projectsort-algorithms
April 29, 2019 – April 29, 2019
Different sort Algorithms and it's Implementations
View ProjectSpark-bank
March 30, 2019 – March 31, 2019
Java Spark Api for money transfers between accounts.
View ProjectKubernetes-demo
February 11, 2019 – February 11, 2019
This repository contains all the source files needed to follow the series
View Projectweb-scraper
February 10, 2019 – February 11, 2019
To search for web pages and download Images and content
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a mix of data science related projects (LLM, TensorFlow, web scraping) and general software development projects (Java, Kotlin, Kubernetes). While there's an active Data Scientist role, the personal projects indicate a broad interest rather than a deep, focused alignment with advanced data science practices. The diversity of technologies (Java, Kotlin, Python, JavaScript) suggests adaptability but also a potential lack of specialization in core data science tools and methodologies beyond basic exposure. The experience level is 0, which contradicts the current Data Scientist role, making it difficult to accurately assess cultural fit for a senior role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.