Hire the best Data Scientists in Oklahoma City, OK
Check out Data Scientists in Oklahoma City, OK with the skills you need for your next job.
- $69 hourly
- 5.0/5
- (18 jobs)
💻 Automation in data flows, collection, cleaning and transformation 🗂️ Multiple sources integration 📈 Uncover trends and patterns 📊 Display results with user-friendly, interactive dashboards 🎯 Root cause analysis & Impact evaluation 🤖 ML predictive modelling for forecasting outcomes and groups. My favourite tools are: 1️⃣ Python 2️⃣ Microsoft Power BI 3️⃣ Microsoft Excel 4️⃣ SQL 5️⃣ R and R-Studio I am a data scientist educated in economics, accounting, financial modelling, algorithmic trading, machine learning, and data mining. My field of expertise is analytics, providing numerical solutions to real-world problems from a quantitative perspective.
Data Science
PresentationsMarketing AnalyticsReportData AnalyticsDashboardBusiness IntelligenceRSQLPythonMachine LearningMicrosoft Power BIData VisualizationMicrosoft ExcelData Analysis - $40 hourly
- 5.0/5
- (1 job)
I began freelancing in 2015 and have since completed successful engagements with over 25+ different clients from a diverse range of industries. My expertise spans across the modern data stack from data engineering and extraction to analytics, visualization and prediction. Over 10+ years of work experience with around 7 years as a DevOps Engineer specializing in private cloud, Google Cloud Platform, Azure and Amazon Web Services (AWS). Proficient in various technical areas related to IT, automation, and cloud computing. Seeking a senior position in DevOps engineering and cloud computing. I have strong hold in Data analytics tools like Google Analytics (GA4), Google Tag manager, Mixpanel, Amplitude, Python, SQL, Google Big Query, Firebase Analytics. Looker studio Power Bi. With a strong foundation in Data Engineering, I specialize in building and optimizing data infrastructure that ensures high-quality, scalable, and reliable data systems. I have experience in designing data pipelines, managing large-scale databases, and ensuring data is easily accessible for business insights and analytics. My expertise lies in leveraging cutting-edge tools and technologies to transform raw data into meaningful, actionable insights for data scientists and analysts. Key Skills: 𝑫𝒂𝒕𝒂 𝑷𝒊𝒑𝒆𝒍𝒊𝒏𝒆𝒔: Designing and maintaining ETL processes for efficient data transformation and ingestion. 𝑫𝒂𝒕𝒂𝒃𝒂𝒔𝒆 𝑴𝒂𝒏𝒂𝒈𝒆𝒎𝒆𝒏𝒕: Expertise in managing both relational (SQL) and non-relational (NoSQL) databases, optimizing for performance and reliability. 𝑪𝒍𝒐𝒖𝒅 𝑫𝒂𝒕𝒂 𝑺𝒐𝒍𝒖𝒕𝒊𝒐𝒏𝒔: Experienced with cloud platforms like AWS, Azure, and Google Cloud for data storage, processing, and management. 𝑩𝒊𝒈 𝑫𝒂𝒕𝒂 𝑻𝒐𝒐𝒍𝒔: Hands-on experience with Hadoop, Spark, and Kafka for processing large volumes of data. 𝑫𝒂𝒕𝒂 𝑾𝒂𝒓𝒆𝒉𝒐𝒖𝒔𝒊𝒏𝒈: Building and maintaining scalable data warehouses that allow easy querying and analytics. 𝑨𝒖𝒕𝒐𝒎𝒂𝒕𝒊𝒐𝒏: Streamlining data processes through automation, ensuring efficiency in data workflows. A 100% refund guaranteed if expectations are set incorrectly and delivery cannot be fulfilled, no questions asked! ✅ Over 9 years of experience ✅ Completed 25+ Projects ✅ Accumulated more than 20,000 hours of commercial development. Solid expertise in 𝐆𝐫𝐚𝐩𝐡𝐐𝐋, 𝐀𝐖𝐒 𝐋𝐚𝐦𝐛𝐝𝐚𝐬, Kubernetes, and other cloud services, ensuring efficient and well-architected solutions. I am committed to delivering high-quality code and optimizing performance for enhanced user experiences. 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: 𝐏𝐲𝐭𝐡𝐨𝐧: Proficient in writing automation scripts and developing server-side applications using Django Rest Framework and Fast API. 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: Proficient in efficiently managing data using MySQL, Postgres, and MongoDB. 𝐀𝐖𝐒 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬: Extensive experience with S3, EC2, ECS, CloudFront, Lambda, and various CI/CD tools, ensuring the delivery of secure and scalable cloud-based solutions. 𝐃𝐚𝐭𝐚 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭: Proficient in ETL processes for efficient data extraction, transformation, and loading. Experienced in Data Warehousing and Data Lakes, ensuring comprehensive management and utilization of data resources. In addition to these, I have: - Orchestrated 𝐃𝐨𝐜𝐤𝐞𝐫 𝐜𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐬 for streamlined deployments. - Developed 𝗺𝘂𝗹𝘁𝗶-𝘁𝗲𝗻𝗮𝗻𝘁 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲𝘀 for data efficiency. I'm keen to bring my expertise to new challenges and would be thrilled to be a part of your team. Thank you.
Data Science
Data EngineeringCI/CDDockerAWS AmplifyAzure DevOpsDevOps EngineeringDevOpsData AnalyticsData AnalysisFront-End DevelopmentFastAPIAWS LambdaNode.jsPython - $80 hourly
- 0.0/5
- (0 jobs)
Introduction: Greetings! I am a dedicated professional with a strong academic background and a passion for finance, risk management, data science, and analytics. I hold a Financial Risk Manager (FRM) certification from the Global Association of Risk Professionals (GARP) and I'm pursuing the CFA Charter from the CFA Institute, currently completed Level 2. With a Master's degree in Data Science and Analytics and a Bachelor's degree in Financial Engineering, my academic journey has equipped me to offer a range of specialized services to meet your unique needs. I have more than 5 years of experience working in data science and quant finance fields. My expertise covers the following fields in Data science and Quantitative finance: Data Science Expertise: - Machine Learning and Predictive Modeling: Utilizing robust machine learning frameworks and platforms such as TensorFlow, PyTorch, AWS SageMaker, Google Vertex AI, and Azure ML to develop and deploy scalable models for analyzing data, identifying patterns, and making accurate predictions across diverse applications. - Data Analysis and Visualization: Proficient in extracting insights from complex datasets, utilizing tools such as Python, R, and SQL, and presenting findings through intuitive visualizations and reports. - Big Data Analytics: Expert in handling and analyzing large datasets efficiently using tools like PySpark, Databricks, and AWS services (S3, Redshift, Glue), ensuring scalability, optimal performance, and real-time insights. - Data Engineering: Proficient in designing and managing ETL pipelines, leveraging tools such as SQL, AWS, Snowflake, and Apache Airflow to ensure efficient data integration, storage, and processing. - Data Visualizations and Dashboards: Skilled in creating insightful and interactive dashboards with tools like Power BI, Tableau, Looker Studio, and Excel to support data-driven decision-making. - Statistical Analysis: Applying statistical methods to interpret financial data, assess market volatility, and make informed decisions. - Natural Language Processing (NLP): Utilizing NLP techniques to extract meaningful information from unstructured financial text data. - Time Series Analysis: Analyzing time-dependent data to identify patterns, trends, and make accurate predictions. Quantitative Finance Expertise: - Financial Modeling: Creating comprehensive financial models for valuation, risk assessment, and scenario analysis. - Derivatives Pricing: Proficient in pricing and valuing financial derivatives, understanding and modeling option pricing strategies. - Risk Management: Implementing effective risk management strategies, utilizing tools like Value at Risk (VaR) and stress testing. - Portfolio Optimization: Designing and optimizing investment portfolios to achieve desired risk-return profiles. - Algorithmic Trading: Developing and implementing algorithmic trading strategies for efficient execution in financial markets. - Time Series Analysis in Finance: Applying advanced time series analysis techniques to model and forecast financial time series data. Why Choose Me: - Experience: With a proven track record of successful projects in finance, data science, and analytics, I bring valuable experience to the table. - Dedication: I am committed to delivering high-quality results tailored to your project's specific requirements. - Expertise: My academic qualifications and practical experience make me well-equipped to handle any kind of task in the finance and data science domains. PROFICIENT IN THE FOLLOWING TOOLS: - Programming: Python, R, SQL - Machine Learning: TensorFlow, PyTorch, AWS SageMaker, Google Vertex AI, Azure ML - Data Engineering: SQL, AWS (S3, Redshift, Glue), Snowflake, Apache Airflow - Big Data: Spark, Hadoop, Databricks - Visualization: Power BI, Tableau, Looker Studio, Excel - Databases: PostgreSQL, MySQL, MongoDB, Snowflake - Cloud Platforms: AWS, GCP, Azure - Version Control: Git, GitHub - NLP: spaCy, NLTK, Hugging Face - DevOps: Docker, Kubernetes WELCOME ALL!
Data Science
Research PapersDerivatives TradingFinanceFinancial ModelingEconometricsQuantitative FinanceStataMATLABRPythonNatural Language ProcessingArtificial IntelligenceMachine LearningMicrosoft Excel - $50 hourly
- 0.0/5
- (1 job)
I'm a 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐄𝐱𝐩𝐞𝐫𝐭 and 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 with a proven track record of transforming data into actionable insights. With expertise in 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐑, 𝐒𝐐𝐋, 𝐀𝐩𝐚𝐜𝐡𝐞 𝐒𝐩𝐚𝐫𝐤, and 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 frameworks like 𝐓𝐞𝐧𝐬𝐨𝐫𝐅𝐥𝐨𝐰 and 𝐏𝐲𝐓𝐨𝐫𝐜𝐡, I'm well-equipped to tackle complex data challenges. My data engineering skills ensure data quality and reliability through robust 𝐄𝐓𝐋 processes. I'm experienced in 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬, including 𝐇𝐚𝐝𝐨𝐨𝐩, 𝐒𝐩𝐚𝐫𝐤, and cloud platforms like 𝐀𝐖𝐒 and 𝐀𝐳𝐮𝐫𝐞. 𝐃𝐚𝐭𝐚 𝐯𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 is a forte, with proficiency in 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈, 𝐓𝐚𝐛𝐥𝐞𝐚𝐮, and 𝐌𝐚𝐭𝐩𝐥𝐨𝐭𝐥𝐢𝐛. What sets me apart is my 𝐜𝐥𝐢𝐞𝐧𝐭-𝐜𝐞𝐧𝐭𝐫𝐢𝐜 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡. I collaborate closely to understand your objectives and deliver custom solutions that align with your goals. 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲, 𝐜𝐥𝐞𝐚𝐫 𝐜𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧, and a 𝐬𝐭𝐫𝐨𝐧𝐠 𝐩𝐨𝐫𝐭𝐟𝐨𝐥𝐢𝐨 𝐬𝐩𝐚𝐧𝐧𝐢𝐧𝐠 𝐯𝐚𝐫𝐢𝐨𝐮𝐬 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 𝐚𝐫𝐞 𝐦𝐲 𝐡𝐚𝐥𝐥𝐦𝐚𝐫𝐤𝐬. Let's work together to unlock the potential of your data and drive your business forward.
Data Science
Analytical PresentationAnalyticsPython ScriptSQL ProgrammingData AnalysisBusiness IntelligenceMicrosoft ExcelPythonMicrosoft Power BISQLTableau - $75 hourly
- 0.0/5
- (0 jobs)
I am a social scientist with 15 years of experience working in research methodology, survey research, data management, political analysis, and consulting.
Data Science
Political ScienceData AnalysisPolicy AnalysisPolicy Writing - $25 hourly
- 5.0/5
- (1 job)
I'm a Python-based Data Engineer specializing in turning unstructured, inconsistent, or siloed data into clean, analyzable, and automation-ready formats using modern data tooling. With a focus on precision and scalability, I help clients across industries streamline their workflows, extract valuable information from the web, and prepare datasets for reporting, analytics, or machine learning pipelines. Technical Capabilities: Data Cleaning & Wrangling: Handle missing values, outliers, schema normalization, type conversion, and deduplication using pandas, NumPy, and OpenPyXL. Web Scraping: Build efficient, customizable scraping scripts using requests, BeautifulSoup, Selenium, or Scrapy for structured data extraction (HTML, JSON, APIs). Data Formatting: Reformat raw or messy files (CSV, Excel, Google Sheets, JSON) into clean, validated, and standardized datasets. ETL-ready Deliverables: Output data pipelines or flat files ready for ingestion into databases or BI tools. Light Analysis: Provide statistical summaries, trends, and basic visualizations (via matplotlib or seaborn) to support decision-making. Tools & Stack: Python, MySQL, pandas, NumPy, BeautifulSoup, Selenium, Jupyter, Excel, Google Sheets, Regex, JSON, REST APIs I approach every project with clean code practices, versioning (Git), and a focus on building reusable logic for long-term value, not just one-off scripts. Need a dataset scraped, cleaned, and delivered in a format that works for your team? I’ll build a lightweight, reliable solution tailored to your specs. Let’s make your data work harder and cleaner.
Data Science
Data EntryCustomer CareQA TestingCompTIATechnical WritingC#C++CPythonData AnalysisCanvaMicrosoft WordMicrosoft ExcelInformation Technology Operations - $25 hourly
- 0.0/5
- (0 jobs)
First I would like to say that I love challenges, diversity, and being apart of projects. I’m a great problem solver, and it motivates me to overcome the challenges within a project. I also like to keep all of my skills sharp by accepting a variety of projects that lets me apply my skills that I haven’t used in a while. I don’t want to waste my education! Finally I love being included and apart of projects. I’m a very helpful person, and a great communicator. Allow me to help you with your projects.
Data Science
Market ResearchLinear RegressionData MiningData AnalysisSASBig DataRPythonStatistics Want to browse more freelancers?
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