Data Analyst Machine Learning

Skills

Education

Data Analyst

Professional Summary

Professional Experience

+1-682-***-****

Arlington, TX, USA

Data Engineer,

Doublene, USA

Responsibilities: -

Data Analyst,

TeCoventry, India

Responsibilities: -

Jan 2020 – Nov 2021

Jan 2023 – Present

ad5srx@r.postjobfree.com

Programming Languages: Python, SQL, C, C++,

HTML, CSS, Java (Basic)

Software Proficiency: Microsoft Office 365,

Jupyter Notebook, Machine Learning

Frameworks

Advanced Tools and Technologies: Tableau,

Power BI, Apache Airflow, SPSS, AWS, Azure

Machine Learning: Predictive Modelling,

Association Analysis, Exploratory Data Analytics,

Classification, Clustering, Hypothesis Testing

Data Analysis: Data Mining, Data Engineering,

Data Quality Assurance, Data Visualization,

Statistical Analysis, Natural Language

Processing (NLP)

Master’s in Information Technology Project

Management

Indiana Wesleyan University, USA

Dec 2021 – Dec 2023

Bachelor’s in Computer Science and Engineering

Veltech University, India

Aug 2017 – May 2021

Analytically-driven and results-oriented Data Analyst with a proven track record of 3 years in transforming large sets of complex data into actionable insights. Skilled in leveraging advanced statistical methods and data visualization techniques to support strategic decision-making and drive business success. Proficient in utilizing leading data analysis tools like SQL, Python, and Tableau to extract, manipulate, and interpret large datasets. Conducted thorough data collection and cleansing processes to ensure data accuracy and integrity, resulting in reliable insights for decision- makers.

Collaborated cross-functionally with teams to define data requirements, translating business objectives into actionable data- driven solutions.

Acted as a subject matter expert, providing training and guidance to team members on data analysis tools and methodologies. Implemented agile project management methodologies, resulting in 40% increase in project delivery speed.

Received, Cleaned and prepped data using python, SQL, and Excel to help build marketing mix models that resulted in a lift in ROI of 8 basis points.

Build data visualization using Tableau that reduced manual reporting by 10 hours weekly.

Utilized techniques and business intelligence to create 24 dashboards and 35 ad hoc reports to address business problems and streamline business process.

Worked with finance, sales, and operations to update and maintain manuals and SOP.

Implemented machine learning algorithms to predict customer behaviour, resulting in a 12% reduction in customer churn. Experienced in handling and analyzing time-series data with Pandas, crucial for trend analysis and forecasting in business contexts. Automated routine data analysis tasks using Python and R scripts, saving approximately 15 hours of manual work per week. LinkedIn

Contact this candidate