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Data Scientist with less than a year in Machine Learning, Generative AI, and Business Analytics.
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Assessing your cultural and operational fit
Master's graduate in Data Science and Analytics with hands-on experience in machine learning, generative Al, and business analytics. Proficient in Python, SQL, Power BI, Tableau, and NLP frameworks, with experience developing predictive models, dashboards, and Al-powered applications through projects, internships, and hands-on training.
Mahatma Gandhi University
Master of Science · Data Science and Analytics
August 1, 2023 – June 1, 2025
Alvas Degree College
Bachelor of Science · Maths, Physics, Chemistry
June 1, 2019 – October 1, 2022
Schneider Electric IT Business India Pvt. Ltd.
Intern
March 1, 2025 – June 1, 2025
Bengaluru, Karnataka, India
IBM SkillsBuild Summer Internship Program
Intern
June 1, 2024 – August 1, 2024
India
Generative AI Text Summarization System
April 30, 2026 – May 31, 2026
Developed an AI-powered text summarization system for YouTube videos and website content using LangChain and Groq LLM. Automated content extraction pipelines using YouTubeLoader and UnstructuredURLLoader. Built an interactive Streamlit application for real-time summarization and prompt-based querying.
AI-Powered Document Intelligence Assistant
April 30, 2026 – May 31, 2026
Built a Retrieval-Augmented Generation (RAG) system for querying multiple PDF documents using natural language. Implemented semantic search using LangChain, ChromaDB, HuggingFace Transformers, and Groq LLM. Developed a Streamlit-based conversational interface with contextual response generation.
Credit Card Complaints Dashboard using Tableau
April 30, 2026 – May 31, 2026
Created an interactive dashboard to visualize credit card complaint trends and patterns.
Iris Flower Classification using Machine Learning
March 31, 2026 – April 30, 2026
Developed classification models using Random Forest and SVM algorithms with Scikit-learn. Performed data preprocessing, feature scaling, and model evaluation. Achieved 97% classification accuracy on the Iris dataset.
House Price Prediction & Email Spam Classification
March 31, 2026 – April 30, 2026
Developed a Logistic Regression model for email spam classification using NLP and TF-IDF. Built a Linear Regression model for house price prediction, evaluated with RMSE and R2. Applied Pandas, Scikit-learn, NLTK, Seaborn, and Matplotlib on real datasets for analysis and visualization.
Diwali Sales Analysis using Python
February 28, 2026 – March 31, 2026
Cleaned and analyzed 3,000+ customer transaction records using Python and Pandas. Identified customer purchasing patterns, demographics, and regional sales trends. Created visualizations to support business decision-making and sales analysis.
HR Analytics Dashboard using Power BI
January 31, 2026 – February 28, 2026
Designed an interactive Power BI dashboard to analyze workforce and employee attrition metrics. Visualized employee trends, department-wise insights, and performance indicators. Automated dashboard updates for real-time reporting and business insights.
Sales Report Analysis Dashboard using Excel
December 31, 2025 – January 31, 2026
Created interactive dashboard to analyze sales data, track performance, and to identify trends, opportunities, and areas for improvement, utilizing PivotTables, charts, and formulas to provide actionable insights.
Google Data Analytics Professional Certificate
Coursera
June 1, 2026 – Present
Workshop on Generative AI and Large Language Models
School of Data Analytics and the School of Mathematics and Statistics, Mahatma Gandhi University
June 1, 2026 – Present
NPTEL Online Certification: Data Analytics with Python
IIT Roorkee
June 1, 2026 – Present
Data Science & Generative AI (Hands-on Training)
Besant Technologies
December 1, 2025 – May 1, 2026
Machine Learning & AI Foundations
April 1, 2025 – May 1, 2025
Cultural Fit Analysis
The candidate's diverse academic projects, ranging from traditional machine learning to generative AI and business intelligence dashboards, indicate a broad interest and adaptability, which are positive for cultural fit. Their participation in internships and workshops suggests a proactive learning attitude and a willingness to engage with industry practices. The focus on data-driven decision-making and problem-solving aligns well with a data-centric organizational culture.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and innovation through their project work. Their experience in team collaboration during internships and academic projects suggests a good operational fit. The ability to manage projects and gather requirements, as noted in professional skills, indicates a capacity for structured work and effective communication within a team.