Data Analytics

Personal summary

SUMMARY • 4+ years of experience in Data Analytics and Business Intelligence, demonstrating business and analytical acumen • Proficient with Data Mining, Data Warehousing and ETL processes for collection and reporting solutions using SQL queries Python libraries (Pandas, Scikit Learn, NumPy, Matplotlib, Seaborn) from RDBMS • Extensive experience handling all stages of data mining lifecycle: problem definition, data extraction, data analysis, data transformation, feature engineering, data modeling, optimization and validation • Passionate about creating insightful data visualization using BI tools like Tableau and Power BI • Familiar with latest trends in Big Data and Cloud computing (pursuing the AWS Certified Cloud Practitioner exam) • Exceptional communication and presentation skills, and performed in an Agile environment (JIRA and Confluence) SKILLS • Programming/Software : SQL, MySQL, MS SQL Server, Python, Linux/Bash • Machine Learning: Classification, Clustering, Deep Learning, Gradient Boosting, Decision Tree/Random Forest • Data Visualization: Tableau, MS Power BI, MS PowerPoint, Pandas (Matplotlib, Seaborn) • Big Data: AWS, Hadoop (Hive/MapReduce), Apache Spark, Apache Hive • Functional: Business Analytics, Marketing Strategy, Business Development and Research Education: College/University in Other

Skills

MySQL3 Database administration3 Volunteering3 Python3 Data Science3