Rohan Avinash Gajendragadkar

Nanded, Maharashtra, India

Since January 22, 2026

Skills

Data PreprocessingData Visualization DesignersPythonMarket AnalysisBackendProgrammingBusiness Analyst

Experience

Task Impetus

Data Scientist

October 1, 2023 – December 1, 2025

New Orleans, America

Key Strengths

Demonstrated experience in building RAG-based AI chatbots using LangChain, FAISS, and LLMs, directly relevant to AI Engineer roles.
Proficiency in implementing semantic search with embeddings and vector databases to mitigate LLM hallucinations.
Experience in developing end-to-end AI solutions, covering data ingestion, vector indexing, retrieval, and response generation.
Solid foundation in machine learning, evidenced by building and deploying a Random Forest regression model with significant accuracy improvements.
Strong programming skills in Python, including libraries like Pandas, Scikit-learn, TensorFlow, and specific LLM frameworks (LangChain, Hugging Face).
Practical experience with data preprocessing, feature engineering, and Exploratory Data Analysis (EDA).

Cultural & Operational Fit

Cultural Fit Analysis

Based on the provided psychometric test score of 0/500, which specifically assesses logical reasoning, work attitude, stress handling, and team collaboration, the candidate demonstrates a critical lack of cultural fit and fundamental professional attributes required for effective team integration and workplace performance.

Soft Skills & Operational Fit

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Demonstrated experience in building RAG-based AI chatbots using LangChain, FAISS, and LLMs, directly relevant to AI Engineer roles.
Proficiency in implementing semantic search with embeddings and vector databases to mitigate LLM hallucinations.
Experience in developing end-to-end AI solutions, covering data ingestion, vector indexing, retrieval, and response generation.
Solid foundation in machine learning, evidenced by building and deploying a Random Forest regression model with significant accuracy improvements.
Strong programming skills in Python, including libraries like Pandas, Scikit-learn, TensorFlow, and specific LLM frameworks (LangChain, Hugging Face).
Practical experience with data preprocessing, feature engineering, and Exploratory Data Analysis (EDA).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit