I am a dedicated data scientist with a keen interest in extracting insights and solving intricate problems from complex datasets. My practical experience involves applying diverse machine learning techniques, including regression, classification, and clustering, to address real-world challenges. Proficient in Python, SQL, and various data analysis and visualization tools, I excel in transforming data into actionable insights.Highlighted Projects:1. Conducted Telecom Churn Analysis utilizing Exploratory Data Analysis (EDA).2. Executed Yes Bank Stock Closing Price Prediction through Linear Regression.3. Forecasted Email Campaign Effectiveness using classification algorithms.4. Implemented Online Retail Customer Segmentation via clustering (Unsupervised Learning).📈 Proficient in developing interactive 📊 dashboards and 📝 reports using Power BI and Tableau to effectively communicate findings and recommendations to stakeholders.Technical Skills:- Data Structure & Algorithms, Machine Learning, SQL- Python, Statistical Modelling, Classification, Clustering, Deep Learning, Natural Language Processing, Data Structures, Data Visualization, Feature Engineering, Regression.Programming Languages:- Python, SQLFrameworks & Libraries:- Numpy, Pandas, SK-Learn, SciPy, OpenCV, Matplotlib, Seaborn, Pandas ProfilingSoftwares & Tools:- GitHub, PyCharm, VScode, Jupyter NotebookActively seeking entry-level opportunities in data science where I can leverage my academic knowledge and hands-on experience to make a meaningful impact. Excited to bring a fresh perspective and contribute to innovative projects.Let's connect! I am open to networking with fellow data enthusiasts, professionals, and mentors. Feel free to reach out for discussions on data science, career advice, or collaboration opportunities. Thank you for visiting my profile.#DataScience #MachineLearning #DataAnalysis #Python #DataDrivenDecisions