SAS Bitcoin Equity Modeling

@jesica46

Hello there, As an experienced researcher and data scientist, data analyst, my qualitative analysis skills perfectly align with your job requirements. My profound knowledge of Python and R Studio guarantees fast learning and adaptation to new tools. Moreover, my advanced skills in Excel make me highly competent in handling large datasets efficiently—making me proficient in extracting the best insights from your transcripts. I fully comprehend the importance of working papers and meticulously preparing financial statements, especially within strict timelines. my sharp analytical skills and extensive knowledge of excel ensure that I leave no stone unturned in making sure every detail is covered under evaluation. My passion for quality, originality and meeting deadlines makes me an excellent choice for this project. I cannot wait to prove my extensive skills to you through providing actionable insights that will help guide your decision making regarding domestic charter flights. Best Regards

@CauaAlves

Hello, I'm an experienced SAS developer with a strong background in predictive analytics, time-series modeling, and financial data analysis. I've built similar models for asset tracking and equity projections, transforming POCs into production-ready solutions using SAS Viya and Base SAS. Understanding your needs: Enhance your Bitcoin equity POC with a robust market-value model (tracking in USD), publication-quality graphs, time-series forecasts, a classification model for behavior shifts, and a detailed technical report. My approach: Start with your provided data and Viya graph; clean/prep data using PROC SQL/DATA steps. Build market-value model with conversions and evolutions. Use PROC ARIMA or similar for time-series projections. Implement classification (e.g., PROC LOGISTIC) to detect shifts. Generate high-quality visuals via PROC SGPLOT/GTL. Compile a concise report covering prep, choices, validation (fit stats, diagnostics), and insights. I can iterate quickly and deliver competition-ready outputs. Happy to discuss your data and refine! Best regards

@chuka8

I received a negative review due to a client repeatedly adding unpaid tasks beyond the agreed scope. The original project was completed successfully, and I’m confident my skills align well with your needs. Hi there, I’d be glad to help you transform your SAS Viya proof-of-concept into a polished, competition-ready solution. With experience in time-series modeling, classification, and SAS-based analytics, I can deliver a robust and insightful package. Here’s what I’ll provide: - A dynamic market-value model tracking Bitcoin equity in USD across time - A clean, publication-quality SAS graph visualizing equity evolution - Time-series forecasting and a classification model to detect significant market behavior shifts - A concise technical report covering data prep, modeling rationale, validation metrics, and interpretation Platform: SAS Viya or Base SAS, depending on your preferred environment Timeline: 3–4 days Budget: $20 USD I’m ready to review your current graph and data to begin shaping the final solution. Let’s collaborate on a standout submission.

@shubhan1306

I will transform your existing SAS Viya proof-of-concept into a competition-ready analytical framework. The solution will include a structured market-value engine that tracks each company’s Bitcoin holdings over time, converts exposure into USD, and computes unrealized gains, volatility, and drawdown metrics. For forecasting, I will implement and compare ARIMA and exponential smoothing models with proper diagnostic validation (AIC/BIC, residual tests, rolling out-of-sample evaluation). I will also develop a complementary classification model to flag significant market regime shifts using engineered volatility and momentum features, with full performance metrics (ROC, confusion matrix, variable importance). The final deliverables will include clean, publication-quality SAS visualizations (forecast overlays and regime annotations) and a concise technical report detailing data preparation, modeling rationale, validation results, and interpretation guidance. I’m happy to review your current Viya output and iterate quickly to refine the submission.

@venplura

Hi there! Do you want the predictive models fine-tuned for daily or weekly Bitcoin price fluctuations? Regardless, this is definitely something that I feel confident delivering on, given my past experience. I would love to discuss your project further! Looking forward hearing from you. Kind Regards, Corné

@naqibrahmanb5

Hello, I can upgrade your SAS Viya proof-of-concept into a competition-ready market analytics solution with robust modelling, diagnostics, and publication-quality visuals. Deliverables: Market-value tracking model converting corporate BTC holdings to USD over time Publication-grade SAS graphs (PROC SGPLOT/SGPANEL) Time-series forecasting (ARIMA/ETS/State Space) for trend projection Classification model (Logistic/Tree/GBM) to detect regime shifts and market anomalies Concise technical report covering data prep, modelling choices, validation, and interpretation Approach: SAS Viya + Base SAS for reproducibility, feature engineering on corporate BTC exposure, cross-validation, fit statistics, parameter estimates, and diagnostic plots. I’m ready to iterate fast and deliver a polished, competition-level submission. Two Questions: Should forecasts be company-level only, or also an aggregated corporate BTC market index? Should the classification model detect macro bull/bear regimes or firm-specific abnormal exposure events?