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Data Science with less than a year in AI/ML, NLP, and Python.
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Assessing your cultural and operational fit
An aspiring Data Scientist with 3 months of experience as a Software Developer, specializing in AI/Automation. Possessing technical skills in Python, Machine Learning, NLP, and various data manipulation libraries. Proven ability to develop AI-powered solutions for data analysis and predictive modeling, as demonstrated in projects like the AI Chatbot CSV Analyzer, SMS Spam Detection, and Employee Burnout Analyzer. Eager to apply strong analytical and programming skills to complex data challenges.
IKGPTU – Punjab Technical University
B.Tech · Computer Science Engineering
August 1, 2024 – June 30, 2027
PSBTE
Diploma · Computer Science Engineering
August 1, 2021 – June 30, 2024
Remoteghar.com
Software Developer (AI/Automation)
January 1, 2026 – March 1, 2026
India
CoreInsights - AI Chatbot CSV Analyzer
June 1, 2026 – Present
Developed an AI chatbot using Python, Pandas, NumPy, and NLP to analyze CSV data through natural language questions, resulting in faster and more accessible data analysis. Automated 3 common analysis tasks including averages, percentages, and trend detection, streamlining manual spreadsheet-style analysis workflows. Integrated LangChain with Ollama to support local LLM-based question answering, improving usability for AI-powered CSV analysis.
View ProjectSMS Spam Detection
June 1, 2026 – Present
Built a machine learning classification model using Python and Scikit-learn to classify text messages as spam or not spam, enabling automated message filtering. Optimized text preprocessing by applying cleaning, tokenization, and TF-IDF vectorization, resulting in structured model-ready input data. Implemented a Naive Bayes model and Streamlit interface to support simple, interactive spam prediction for user-entered messages.
View ProjectWorkPulse - Employee Burnout Analyzer
June 1, 2026 – Present
Built a machine learning model using Python and Streamlit to predict employee burnout and resignation risk, supporting data-driven workforce analysis. Analyzed workload patterns by creating heatmap visualizations, improving visibility into high-workload departments and burnout indicators.
RCPL Certification
RCPL
June 1, 2026 – Present
Java and SQL Certification
Test Yantra
June 1, 2026 – Present
Python Internship Certificate
Springboard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including an AI chatbot, spam detection, and burnout analysis, shows a broad interest in applying data science to various problems. The listed activities and hobbies suggest a collaborative spirit and a drive for continuous learning, which aligns well with a dynamic and innovative work culture. However, the limited professional experience (2 months) means cultural fit is primarily inferred from personal projects and extracurriculars.
Soft Skills & Operational Fit
The candidate's participation in activities like 'Coordinator - Orphanage and Old-Age Home Donation Drive' and 'Institutional Hackathon Participant' suggests teamwork, initiative, and problem-solving skills. Hobbies like 'Exploring New Technologies' and 'Learning AI Tools' indicate a proactive and continuous learning mindset, which is beneficial for operational fit in a rapidly evolving field like Data Science.