Data Analyst

Huseyin Yilmaz

*********@*****.*** 209-***-**** Fresno, CA linkedin

Permanent Resident No Visa Sponsorship Required

Professional Summary

Accomplished Data Analyst with 7 years of expertise in data analytics. Experienced in analyzing and interpreting complex data sets, applying statistical analysis, machine learning, and domain knowledge to inform strategic business decisions across defense, logistics, manufacturing, streaming technologies, and energy management sectors. Known for adaptability, adherence to regulatory standards, and a strong commitment to delivering high-quality results in dynamic and evolving environments.

Key Skills

Python Libraries and Frameworks: Python, Pandas, Numpy, TensorFlow, Keras, Scikit-Learn, SciPy, Matplotlib, SQL, Machine Learning Algorithms, A/B Testing, Deep Learning, NLP, NLTK, SpaCy, RegEx, NRCLEX Statistics and Testing: Hypothesis testing, z-test, SAS, SPSS, descriptive & inferential statistics Big Data and Collaboration Tools: ETL, EDA, AWS Data Analytics, Kinesis, S3, Glue, Athena, Redshift, Sagemaker, Predictive Analytics Pipeline

Data Visualization Tools: Tableau, Seaborn, Plotly, QuickSight, Power BI Frameworks and Platforms: Spark, Git, GitHub, Jira, Agile, MS Office, Google Workspace Professional Experiences

Data Analyst Jan 2023 – Present

Serious Control, Irvine, CA (Remote)

Develops software and provides services to help organizations manage Distributed Energy Resources

● Developed a comprehensive solution to improve consumption forecasting efficiency by 5% for California's electricity generation and distribution sectors, enhancing operational planning and decision-making.

● Leveraged statistical tools and visualization platform Power BI to interpret large datasets and identify patterns in energy usage over time.

● Led data integration efforts by designing a browser-based ETL pipeline, achieving 25% faster extraction, transformation, and loading of incoming data to streamline forecast accuracy and data accessibility.

● Generated actionable insights by developing models that accurately predicted consumption up to 48 hours in advance, enhancing resource allocation and enabling demand-response strategies for energy efficiency.

● Increased energy allocation efficiency by 10% by providing accurate consumption forecasts to support Distributed Energy Resource (DER) planning. Leveraged machine learning algorithms—including Prophet, XGBoost, and deep neural networks—implemented in Python with Scikit-learn, to enable data-driven decision-making for resource management.

Data Analyst Jan 2021 – Dec 2022

ICH-Amazon Logistics, Atlanta, GA (Remote)

A pioneer in ensuring timely delivery of goods to Amazon customers across the United States

● Conducted in-depth data analysis on transportation operations, evaluating delivery times, vehicle routes, and fuel usage to identify inefficiencies and implement cost-saving strategies.

● Built and managed end-to-end data solutions, including pipelines to extract raw data from Amazon Relay and Samsara, leveraging AWS Glue to populate and organize a centralized data lake.

● Transformed raw data into Parquet format, enabling high-performance querying with AWS Athena's SQL interface and establishing seamless integration with relational databases.

● Designed and deployed dashboards using Amazon QuickSight to visualize transportation metrics, improving business intelligence reporting and operational decision-making.

● Developed a predictive model using the Random Forest algorithm to forecast transportation demand, optimize vehicle routing, and minimize operational costs.

● Achieved a 20% reduction in transportation costs by implementing predictive analytics, showcasing the effectiveness of advanced modeling and integrated data analysis. Data Analyst Jan 2020 – Dec 2020

Netflix, Athens, Greece

Streaming service that offers a wide variety of award-winning TV shows, movies, anime and documentaries

● Extracted and evaluated over 50,000 customer reviews from the Amazon S3 Netflix Media Database, identifying both positive aspects and areas for enhancement that provided actionable insights for developers, resulting in a 25% improvement in content quality for future releases.

● Developed analytical frameworks and applied feature engineering to boost core algorithms, increasing model accuracy by 20% and achieving high performance in regression, classification, and clustering for content understanding.

● Partnered with product managers, data engineers, and data scientists to integrate data insights, empowering customers with enhanced information for informed viewing decisions and contributing to a 20% improvement in user engagement.

Data Analyst Apr 2017 – Dec 2019

Artikare, Ankara, Turkey

Acrylic manufacturing

● Assessed existing project plans to identify strengths, weaknesses, and risks, providing actionable recommendations that improved project efficiency by 25% and increased alignment with organizational objectives and customer requirements.

● Led the establishment of a factory for the production of hot tubs and acrylic sheets in New Jersey, overseeing all aspects of forecasting, financial modeling, and project planning.

● Conducted comprehensive risk and financial analyses and customer segmentation to define project scopes and specifications, leading to a 30% improvement in project alignment with market needs and organizational goals.

● Developed comprehensive revenue forecasts, cost analyses, and budgets to ensure financial feasibility and operational efficiency.

● Collaborated with cross-functional teams, including finance, operations, and sales, to gather and analyze critical data for strategic decision-making.

● Conducted in-depth analysis of financial and operational data to identify trends, mitigate risks, and capitalize on growth opportunities within a 3-year timeline.

● Designed and maintained interactive financial dashboards and reports using tools such as Python and Tableau, enabling data-driven decision-making and real-time insights.

● Prepared essential documentation, including business plans, risk assessments, media strategies, Google Analytics evaluations, financial statements, and investment proposals, facilitating the factory's successful launch and long-term growth.

Data Analyst Nov 2014 – Mar 2017

Aselsan, Electro-Optics Reconnaissance Systems Dept., Ankara, Turkey Research, development, and manufacturing of advanced military products for air, space, land, and maritime forces.

● Demonstrated expertise in developing an imaging sensor for image analysis and identification. Utilized techniques such as classification, segmentation, detection, and labeling for effective data categorization. Engineered a machine learning model using CNN architecture for target tracking in border security. Achieved high accuracy rates of up to 97% through the use of image processing and image recognition artificial intelligence algorithms for Imaging Systems.

● Successfully built and coordinated a team to deliver Electro-optical systems designed for image classification and target tracking to the army. This collaborative effort not only contributed to meeting operational needs but also resulted in generating revenues exceeding 100 million dollars, showcasing the project's success in enhancing situational awareness.

Previous Experience

- Electro-Optics Systems Project Manager Feb 2005 – Oct 2014 Aselsan, Land Electro-Optics Systems Dept., Ankara, Turkey

- Senior Quality Assurance Engineer Sept 2003 – Jan 2005 Aselsan, Program and Procurement Dept., Ankara, Turkey

- Research and Development Project Engineer Dec 2002 – Aug 2003 4. Maintenance Center Command, Army, Ankara, Turkey

- Expert Quality Assurance Engineer Oct 1998 – Jul 2002 Aselsan, Program and Procurement Dept., Ankara, Turkey Certification, Training, Seminars

Power BI, Machine Learning, AWS Data Analytics, Networking and IT, Project Management Certificate, Project Planning, Controlling and Executing, Analysis using MS Project Professional, Product Cost and Cost Analysis, ISO 9000:2000 Quality Management System Education

● Data Analysis, Calbright College, USA

● Master of Science in Electrical and Electronics Engineering, Gazi University, Turkey

● Bachelor of Science in Electrical and Electronics Engineering, Dokuz Eylul University, Turkey

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