Hello!, I'm Rizwan, A Passionate Data Professional, aspiring to become a Data Engineer | Data Analyst | Business Analyst, And I'm a Self learner, Adaptable and Passionate about continuous learning and improvement, and always eager to explore new opportunities for growth and development.
ResumeIn my journey of Countinues Learning, I've mastered a range of technical skills like:
Data Engineering | Data Analytics | Big Data | Data Cleaning | ETL - Extract, Transform, Load | Database Management-DBMS | Data Visualization | Dashboard Creation | Data Extraction | Web Scraping.
Tools & Technologies: Python, SQL-MySQL, Power BI, Microsoft Excel, AWS-Amazon Web Service and some Big Data Technologies - Apache Hadoop, Apache Hive, Apache Spark-PySpark, SparkSQL and Apache Airflow.
Gained valuable hands-on experience through diverse projects and courses enhancing my skills and expertise.
Explore my educational journey and professional development through a collection of my education , courses and certifications that reflect my commitment to continuous learning and improvement.
View allExplore a diverse range of projects where I've applied my skills and knowledge to tackle real-world challenges, creating valuable insights and solutions and gained hands-on experience.
Developed and implemented a data pipeline for Extracting, Transforming and Loading - ETL sales data, leveraging Big data technologies such as Hadoop - HDFS, Hive and Spark with Spark SQL.
Automated the entire data pipeline or ETL Process using Apache Airflow.
Created an interactive sales dashboard in Power BI.
Developed and executed a web scraping script using Pythonto collect 3790 customer reviews from the Skytrax
website.
Cleaned and preprocessed data using Pandas, and Performed sentiment analysis using TextBlob.
Stored the processed data efficiently in a MySQL database for further analysis and retrieval.
Conducted data analysis and visualization tasks using Python to derive actionable insights from the collected data
Analyzed Twitter data to determine public sentiment on specific keywords using Python and the Tweepy library for data extraction. Utilized the TextBlob library for sentiment categorization and implemented a user interaction function. Created visualizations for sentiment distribution and frequently occurring words, enhancing the interactive experience for exploring insights.
Learn more
This project focused on in-depth analysis of HR data, involving data cleaning, preprocessing, statistical analysis, and visualization. The use of Python, along with libraries such as Pandas, Matplotlib, and Seaborn, played a crucial role in processing and visualizing the data. And also created an interactive dashboard in Power BI.
Learn more
Research Study: Customer's Preference and Awareness of Modes of Payments in Online Shopping.
Collected data through surveys and organized it using Microsoft Excel. Utilized Excel's pivot tables and charts for thorough analysis, resulting in a visually engaging dashboard that highlights key insights.
Thank you for visiting my portfolio.I am looking forward to the opportunity to connect, collaborate, or discuss more about my work. Please feel free to get in touch +91 8129831464
