About

Detail-oriented and analytical professional with a solid background in data analysis, statistical modeling, and business analytics. 

Proficient in SQL, Python, Power BI, and Excel, with a postgraduate degree in Data Science and Business Analytics from the University of Texas at Austin. 

Proven ability to leverage data-driven insights to inform strategic business decisions and drive operational improvements. 

Eager to apply analytical expertise and advanced technical skills in a dynamic new data science role.

Areas of Expertise:

• Statistical Analysis & Predictive modeling.

• Data Manupilation & Cleaning.

• Machine Learning & Data Mining.

• Data Visualization & Storytelling.

• Programming & Database Management.

• Project management & Agile Methodologies.

• Continuous process Improvement.

• Business requirements Gathering.

Technical Proficiencies

• Data Analysis & Visualization: Excel, Tableau, Power BI.

• Programming Language: Python, SQL.

• Frameworks: Pandas, Numpy, ScikitLearn, Matplotlib.

• Data Management Tools: Splunk, Azure, GitHub.

• Platforms: Visual code studio, Jupyter Notebook, Pycharm, Colab.

• Soft Skills: Report Building, Excellent Communication, Strong stakehold & people management.

• ML Algorithms: Linear Regression, Logistic regression, KNN, K-Means, Random forest, Dimensionality Reduction Algorithms, Gradient Boosting Algorithms.

#Beyond the Data, Lies the Future.