Amal K B

Amal K B github.com/amalbasheer | amal-professional-portfolio.bolt.host Summary Analytical and result-oriented Data Scientist with 10 months of hands-on experience in building, evaluating, and statistical models and machine learning algorithms. Expertise covers the end-to-end data lifecycle, including data collection, cleaning, developing scalable data pipelines (ETL), performing comprehensive EDA - Exploratory Data Analysis, and delivering data-driven solutions aligned with cross-functional business requirements. Skills • Programming: Python (Jupyter Notebook), SQL (PostgreSQL), DSA, OOP, API integration. • Data visualization, processing, transforming, wrangling: Tableau, PowerBI, Excel, Matplotlib, Seaborn. • ML/Data Science: Pandas, Numpy, Scikit-Learn, Streamlit, Xgboost, Folium, Statsmodel, Data mining, deployment. Experience July 2025 – Present DA/BA Internship, Labmentix • Executed 12 end-to-end Data Analytics projects (e.g., Uber Supply-Demand Gap, Bike-Dekho, Airline delay analysis) and generated data-driven recommendations. • Developed and built robust ETL pipelines using complex SQL querying; conducted comprehensive EDA and feature engineering.Designed and deployed interactive dashboards and insight reports in PowerBI/Tableau. Data Science Internship, Cuvette Feb 2025 – June 2025 • Executed 12 capstone projects across diverse domains demonstrating expertise in machine learning (Customer Churn Prediction, Fraud detection), data visualization, and data integrity. • Completed two months of industrial training covering key modules: SQL, machine learning with Python, NLP,basic AI, Excel, and Tableau, elevated critical thinking. Education Oct 2022 – July 2024 MTech in ECE (CGPA - 9.33) • Coursework Project: Developed and evaluated a secured AES encryption algorithm using verilog. Projects github Customer churn prediction • Achieved high performance with 99% accuracy by developing and evaluating predictive models (XGBoost, Logistic Regression, Random Forests) and performing extensive EDA to understand core churn drivers. • Performed data cleaning, feature engineering, modeling and metrics used: ROC AUC, recall, precision, f1 score. Retail sales and inventory management system github • Designed and implemented comprehensive system after ETL, Excel data processing(HLOOKUP, VLOOKUP, PIVOT), database management, and advanced SQL queries for sales, inventory, and staff performance. • Integrated SQL with Power BI dashboards with filters, slicers, enabling decision-making for sales optimization. Cric buzz live stats github • Developed interactive Cricket Analytics Dashboard, integrating API live data, using segmentation techniques, scalable scripting, and an interactive web application to identify trend, pattern. • Constructed robust SQL database, executing over 25 complex analytical queries and managing CRUD operations. Certificates Generative AI mastermind: AI agents, AI automation, AI bot, custom GPTs, LLM, Prompt. Tata Data Visualization: Empowering Business with Effective Insights (Job simulation). IEEE Philanthropy Training: Communication, strategic and organizational, team and time management skills.