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Data Scientist Cum Trainer
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AISPRY
Data Scientist - AI Trainer - Freelance
June 13, 2026 – Present
genai-pyspark-pipeline
June 10, 2026 – Present
Synthetic data generation and Pyspark analytics with Vibe Coding
View ProjectHouse_Price_Prediction_Model
May 1, 2026 – Present
House_Price_Prediction_Model — GitHub repository
View ProjectAuto_EDA_Agent
January 24, 2026 – Present
Auto EDA Agent — An Agentic AI-powered Streamlit application that performs end-to-end Exploratory Data Analysis (EDA) on CSV datasets using a planning–execution–insight generation pipeline with Gemini LLM, producing grounded insights and curated visualizations.
View ProjectDSA_Prep_Rohit_Negi
April 19, 2023 – May 1, 2023
Repository for DSA learning with Rohit Negi Bhaiya
View ProjectShubham_Frontend_Graded_Assignment_2
October 10, 2022 – October 23, 2022
Shubham_Frontend_Graded_Assignment_2 — GitHub repository
View ProjectFirst_Express_JS
September 27, 2022 – September 27, 2022
Basic Implementation using Express JS with express handlebars
View ProjectAnythink-Market-0mc2i
September 14, 2022 – September 14, 2022
Anythink-Market-0mc2i — GitHub repository
View ProjectMicroServices
September 11, 2022 – September 12, 2022
These are simple micro services with Eureka service registry and API gateway
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a diverse range of interests, including web development (JavaScript, HTML, CSS, Express.js), DSA (C++), and microservices (Java), in addition to data science. This breadth suggests adaptability and a willingness to explore different technical domains. However, the primary focus on personal projects and a single freelance role makes it difficult to fully assess cultural fit within a structured team environment. The alignment with a 'Data Scientist' target role is present in some projects, but the overall portfolio is quite broad, which could be a strength in terms of versatility but also a potential weakness if deep specialization is required.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and no psychometric or English test results are available.