Data Analyst / Consultant Resume

SUMMARY:

Multi - lingual Data Analyst with over 15 years’ experience. Extensive technical, analytical and communication experience. Intelligent and hardworking with strengths in data reliability assessment. Experienced executor of full life-cycle development projects within time, budget and quality parameters using best practice guidelines in targeting assignments in Data Science, Machine Learning and Statistics. PhD in Applied Statistics and Masters in Economics and Statistics with a passion to translate data into insights and concrete actions to enable better operational results for teams and clientele in both public and private organizations.

TECHNICAL SKILLS:

Basic Tools (e.g. MS Office). Mathematics and Statistics Optimization Modeling. Machine Learning.

Database Systems (SQL / NoSQL based). Visualization Tools (e.g. excel python). Distributed Computing (e.g. Hadoop, AWS). Predictive Modeling. Conscious listening and storytelling.

PROGRAMMING LANGUAGES

MySQL Python SAS Spark

MINDSET

Resilient Project implementer. Intuitive data expert with high ‘figure-it-out’ complex. Curious data scientist.

PROFESSIONAL EXPERIENCE:

Confidential

Data Analyst / Consultant

Selected to participate in MTC, an innovative industry - driven initiative with a coalition of more than 100 businesses, workforce development, educational, economic development and other non-profit partners working towards the growth of IT.
Job readiness training.
AWS Technical Essentials Training.
Migrating to AWS Training.

Confidential

Data Analyst / Consultant

Articulated and formulated technology-based processes that resulted in improved project, product and service delivery.
Consulted and developed SQL and Python analytic techniques to resolve data analysis and modelling projects of clients including fraud detection, churn and credit risk modelling for business development.
Translated data models into insights for high growth of businesses.
Supported clientele to ensure adoption of targeted and customized data analytical solutions.

Confidential

Data Manager

Implemented and managed data analysis projects using customers’ databases to generate activity trend indicators, profit & loss forecasts and business performance models.
Made actionable recommendations that were based on data trends and models to customers with varied business solution needs.
Provided data management related training on record keeping and using data to make business decisions.

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