Open to opportunities

Mohammed Yunus Shariff

@mohammedyunusshariff

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Seasoned data analytics professional with expertise in machine learning solutions.

United States

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, with opportunities for growth and impactful projects.

I am a seasoned data analytics professional with over 4 years of experience in engineering scalable machine learning solutions. My journey has been marked by a commitment to data quality and model refinement, enabling organizations to make insight-driven decisions. I have successfully transformed complex datasets into actionable insights, driving significant improvements in user retention and conversion rates.

Throughout my career, I have developed and implemented innovative forecasting models and predictive pipelines that enhance prediction accuracy and facilitate targeted intervention strategies. My work in both academic and corporate settings has equipped me with a robust skill set in data analysis, machine learning, and statistical modeling, allowing me to contribute effectively to cross-functional teams and projects.

I am passionate about leveraging data to solve real-world problems and continuously seek opportunities to refine my skills and expand my knowledge in the ever-evolving field of data analytics.

Experience

Work history, roles, and key accomplishments

Data Analyst

Velocity Tech Inc.

Aug 2023 - Oct 2023 (2 months)

Analyzed user behavior across digital platforms, leading to a 15% increase in user retention. Designed A/B tests that improved conversion rates by 10%. Automated data ingestion and ETL workflows with AWS Lambda, reducing processing overhead by 40%.

Cohort Analysis A B Testing AWS Lambda ETL Data Ingestion Data Security Amazon RDS

Research Assistant

ILLIDAN Lab

Jun 2023 - Jul 2023 (1 month)

Developed forecasting models for high-frequency trading, enhancing prediction accuracy. Engineered a predictive pipeline for digital biomarkers, improving early-stage detection in clinical trials. Integrated wearable data to strengthen statistical power.

Forecast Modelling Time Series Analysis Predictive Analytics Machine Learning Data Integration Clinical Trials

Consultant

Syniti

Nov 2020 - Sep 2021 (10 months)

Improved data quality by 20% through cleansing metrics. Optimized data transfer efficiency, reducing migration duration by 11%. Led a cross-functional team to implement agile workflow solutions, enhancing project timelines.

Data Quality Agile Methodologies Jira Data Migration Inventory Management

Business Analyst II

Cognizant

Jan 2019 - Jul 2020 (1 year 6 months)

Optimized data-driven solutions, cutting operational costs by 20%. Collaborated with teams to implement strategies that increased product revenue by 25%. Developed credit risk models enhancing customer segmentation.

Data Analysis Revenue Statistical Analysis Credit Models Customer Segmentation Product Development

Business Analyst

Cognizant

Jan 2018 - Jan 2019 (11 months)

Developed business intelligence pipelines for clinical data integration. Implemented data governance for compliance, reducing latency by 70%. Automated claims processing, ensuring faster resolutions.

Business Intelligence Data Governance Data Integration Automation

Education

Degrees, certifications, and relevant coursework

Michigan State University

Master of Science, Electrical and Computer Engineering

2021 - 2023

Pursued a Master of Science in Electrical and Computer Engineering, focusing on advanced topics in electrical systems, computer architecture, and machine learning applications.

BNM Institute of Technology

Bachelor of Engineering, Electronics and Communication

2013 - 2017

Completed a Bachelor of Engineering in Electronics and Communication, covering essential principles of electronics, communication systems, and signal processing.