Data Analyst with less than a year in Data Analysis & Machine Learning
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Aspiring Data Analyst with hands-on experience in Data Analysis, Machine Learning, and Statistical Modeling. Skilled in Python, SQL, and data preprocessing with experience in building predictive models and generating actionable insights through analytics and visualization. Experienced in data cleaning, feature engineering, reporting, and solving real-world business problems using data-driven approaches.
Great Lakes Institute of Management
Post Graduate Program · Data Science
August 1, 2025 – June 30, 2026
Gurunanak Institutions Technical Campus
Bachelor of Technology · Computer Science
August 1, 2020 – June 30, 2024
Smilebook Dental
Operations Analyst
January 1, 2026 – Present
Hyderābād, Telangana, India
Flight Delay Prediction using Machine Learning
February 1, 2025 – February 1, 2026
Business Objective: Predict flight delays using machine learning to optimize scheduling, reduce operational disruptions, and improve customer experience. Approach: Analyzed historical flight data including airline, origin, destination, and departure time. Performed data preprocessing, missing value handling, and feature engineering to create relevant features. Conducted EDA to identify key delay factors. Built supervised machine learning models (Random Forest, XGBoost) and evaluated using accuracy, precision, recall, and F1-score, achieving 79% accuracy. Impact: Improved prediction accuracy and enabled data-driven decision making for better scheduling.
Airbnb Data Analysis & Price Prediction
February 1, 2025 – February 1, 2026
Business Objective: Analyze factors influencing Airbnb prices and build predictive models to help hosts optimize pricing strategies. Approach: Processed Airbnb dataset using data cleaning, encoding, and feature engineering. Conducted EDA and data visualization to identify pricing trends and correlations. Built machine learning regression models (Linear Regression, Random Forest, XGBoost) and evaluated using R2, RMSE, and MAE, achieving improved prediction accuracy. Impact: Identified key pricing drivers and supported data-driven pricing optimization.
RAG-Based Chatbot for Document Question Answering
February 1, 2025 – February 1, 2026
Business Objective: Develop an intelligent chatbot to enable efficient document search and accurate question answering. Approach: Designed a Retrieval-Augmented Generation (RAG) pipeline by performing document ingestion, chunking, and embedding generation. Stored embeddings using FAISS for semantic search. Integrated LLM-based response generation and built a Streamlit interface for real-time interaction, improving response relevance using semantic search techniques. Impact: Reduced manual document search effort and improved accuracy of information retrieval.
Python Programming
Udemy
June 1, 2026 – Present
Data Analytics Essentials
Cisco Networking Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data science concepts. The variety of projects (RAG chatbot, Airbnb pricing, flight delay) shows diverse interests and an ability to tackle different types of data challenges. The blend of academic background (Computer Science, Data Science PGP) and practical experience (Operations Analyst) suggests a well-rounded individual eager to apply theoretical knowledge to real-world scenarios. The certifications indicate a commitment to continuous learning.
Soft Skills & Operational Fit
The candidate's role as a Student Coordinator suggests organizational and teamwork skills. The Operations Analyst role indicates an ability to structure data, generate reports, and monitor KPIs, which are crucial for operational efficiency in a data-driven environment. The project descriptions are clear and structured, highlighting problem-solving and impact-oriented thinking.