SHAIK VANEESHA BEGUM

Final-year Computer Science student with a focus on Data Science, looking for an entry-level Data Analyst role. I enjoy working with messy real data, writing SQL to find answers, and building dashboards people can actually use. Comfortable picking up new tools quickly and explaining findings in plain terms.

Technical Skills

1. 1ProgrammingPython, SQL, Java, C, C++
2. 2Data AnalysisPandas, NumPy, Data Cleaning, RFM/Customer Segmentation, Exploratory Data Analysis
3. 3Machine LearningScikit-learn, Random Forest, Logistic Regression, SMOTE (imbalanced data)
4. 4Visualization & BIMatplotlib, Seaborn, Streamlit, Power BI basics
5. 5DatabasesSQL (SQLite, joins, aggregations, window functions), NoSQL basics
6. 6Tools & PlatformsGit, GitHub, VS Code, Jupyter Notebook, Windows, Linux, MS Office
7. 7Web & Mobile DevHTML, CSS, JavaScript, React, Node.js, Express.js, MongoDB, Firebase, Flutter

Projects

1. 1Olist E-Commerce Sales AnalyticsWorked with 100K+ real e-commerce orders spread across 9 linked tables, writing SQL to dig into revenue, category, and regional trends. Found that delivery speed was the biggest factor behind bad reviews — ratings dropped from 4.42 to 2.25 once delivery passed 30 days. Segmented customers and found 75% never came back, building a Streamlit dashboard so anyone could explore the numbers.
2. 2Predictive Maintenance for Industrial EquipmentTrained a Random Forest model to flag equipment likely to fail soon based on sensor readings like temperature and vibration, reaching 95% accuracy. Added rolling averages and lag features from sensor history to help catch patterns leading up to failures.
3. 3Fraud Detection in Financial TransactionsTackled a dataset where fraud made up only 0.17% of transactions (492 out of 284,807). Used SMOTE to balance classes and compared Logistic Regression against Random Forest, with Random Forest coming out ahead with a 0.996 ROC-AUC score.
4. 4Data Visualization: Business InsightsExplored real-world datasets and put together visual reports to spot trends and support business decisions (TATA Forage Virtual Program).
5. 5MERN Stack Mini ProjectBuilt a full-stack web app with a working CRUD flow and a responsive front end using MongoDB, Express.js, React, and Node.js.
6. 6Flutter & Firebase Mini ProjectBuilt a mobile app during a hackathon, using Firebase for storing data and handling user logins.

Certifications & Internships

1. 1Data Science Intern — GenZ Educate WingFeb 2025 – Apr 2025. Built and tested a couple of ML models (Random Forest, Logistic Regression) for real use cases like predictive maintenance and fraud detection. Spent a lot of time cleaning and exploring data in Python, then put together visual reports to explain what I found.
2. 2Data Visualization: Empowering Business with Effective InsightsTATA Forage
3. 3Digital Application FundamentalsNASSCOM Futureskills Prime