I'm Rajib Das, an AI developer specializing in LLM-based tools, NLP automation, and smart assistant apps. I recently built PaperWhisperer — an AI-powered research assistant that summarizes papers, answers questions, and simplifies complex content using OpenAI, Streamlit, and advanced NLP.

What I Offer:

• Custom ChatGPT-like bots (domain-specific)

• PDF/Q&A tools, summarization, and insights

• LLM app development 

• Integration with LLMs, LangChain, vector DBs

Tools:

Python • OpenAI API • NLP • LangChain • CrewAI • Streamlit • FastAPI • SQL

Let’s build intelligent solutions that solve real pain points.
Message me to get started! :)

Summary

• Certified Data Analyst | Python | SQL | Business Intelligence | Data Visualization | Statistical Analysis

Skills

• Programming Languages: Python, SQL

• Data Analytics Tools: Jupyter Notebook, Power BI, Excel, Tableau

• Concepts: Statistical Analysis, ETL, Business Intelligence, Prompt Engineering, Machine Learning, Predictive Modeling

• Soft Skills: Problem-Solving, Communication, Time Management, Team Management

Certifications

• Google Advanced Data Analytics [Link]

• Google Business Intelligence [Link]

• Accenture Data Analytics [Link]

Internship

Techweirdo | Data Analyst Intern
 May 2021 – July 2021

• Analyzed critical healthcare resource data, and improved resource allocation efficiency by 30% during COVID-19.

• Created daily actionable reports that reduced response time for resource shortages by 25%.

• Corrected data, boosted accuracy to 89%, and enabled quick, informed decisions in a high-pressure environment.

Project Work

1. Smart HR Analytics (Python | Pandas | Scikit-learn | Matplotlib | Seaborn) [Link]

• Objective: Built a predictive model to identify employees at high attrition risk, aiding targeted HR retention strategies.

• Role: Used Python to preprocess data, train Random Forest models, and evaluate performance through model validation metrics (accuracy, F1-score, and recall).

• Impact: Achieved 96% prediction accuracy, projected a 10% improvement in retention rate and demonstrated significant cost savings in recruitment and onboarding.

2. Credit Card Transaction and Customer Reporting (SQL | Power BI | DAX | Data Analytics) [Link]

• Objective: Analyzed and visualized credit card transaction data to uncover key spending patterns and revenue trends.

• Role: Utilized SQL to process transaction data and Power BI to create interactive dashboards for geographical revenue analysis. Optimized queries to identify regional trends and streamline data presentation.

• Impact: Reduced manual reporting by 40% and identified regions contributing to 68% of total revenue using data from 10,000+ records.

3. Fraud Detection in Financial Transactions (SQL | MySQL | Data Analytics) [Link]

• Objective: Designed SQL queries to detect anomalies and streamline fraud detection processes in financial transactions.

• Role: Analyzed a structured dataset with SQL queries to identify patterns, detect fraud, and reduce manual workload.

• Impact: Improved fraud detection accuracy by 20% and reduced query execution time by 30%, enabling faster fraud management decisions.

Education

• B.Tech in Electrical Engineering | Netaji Subhash Engineering College

  • CGPA: 8.84 |  Aug 2021 – July 2023

• Diploma in Electrical Engineering | Netaji Subhash Engineering College

  • CGPA: 7.80 |  Aug 2018 – Jun 2020

Leadership/Extracurricular Activities

• IEEE Student Coordinator (Increased membership by 78.5%)

• IEEE Young Professionals Member

• College Sports Head