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I have an IRB-approved protocol and SAP psychometric study of a digital cognitive wellness battery Scope of Work (must be included in proposal) Data QC and cleaning Validate export integrity, missingness review, recodes per data dictionary Produce analysis-ready dataset + QC notes (queries list) Primary reliability analysis ICC(3,1) with 95% CI Run two ICC approaches for verification (ANOVA-derived ICC and psych::ICC output) and confirm they match as expected Secondary analyses Domain/task ICCs with CIs Practice effects (paired tests + effect sizes) Usability (SUS/TAM) summary Completion rates, validity flags, session duration Exploratory correlations with SLUMS Deliverables Reproducible R repo (scripts, README, session info, locked outputs) Word-ready statistical report (tables + concise...

I need a forensic specialist ideally based in Ho Chi Minh City to pull every scrap of data still living inside Zalo’s local SQLite stores on a Windows laptop. The focus is narrow and clear: recover all text messages plus any contact information linked to those chats; photos, videos, and other media can be ignored for now. You’re free to work with Magnet AXIOM, Cellebrite, Autopsy, X-Ways, or your own Python / sqlite3 scripts—whatever lets you prove the chain of custody and export clean, searchable tables. Deliverables • CSV or XLSX of every recovered message with timestamp, sender/receiver IDs, and thread reference • CSV or XLSX of the full contact list (UID, display name, phone/email where available) • A brief but reproducible methodology report d...

I need a skilled analyst who can dive into my sales data and surface clear, time-based trends using a mix of SQL and Python. The raw figures sit in a relational database; from there you’ll write efficient SQL queries, pull the results into Python (pandas, NumPy, SQLAlchemy), tidy everything, then explore daily, weekly, and monthly patterns. Visualisations in matplotlib or seaborn and a concise written summary (PDF or Jupyter Notebook) will round out the story so stakeholders can quickly grasp how revenue is evolving and where seasonality or anomalies appear. Deliverables • Well-commented SQL scripts that reproduce the dataset • A Python notebook (or .py script) with all transformation and analysis steps • Three to five clear charts illustrating sales trends over...

I’m sitting on a trove of raw social-media data and need a data professional who can turn it into clear, actionable insight. The scope is entirely social media—no sales or ecommerce feeds—so every query, chart, and recommendation should focus on audience behaviour, engagement patterns, and content impact across whichever platforms you work best with (Facebook, Twitter, Instagram, TikTok, etc.). Here’s what I’m after: • A repeatable Python + SQL workflow that cleans and models the data • Interactive dashboards (Power BI, Tableau, or a comparable web-based tool) where I can slice metrics by date ranges, post types, and audience segments • A concise write-up summarising the key findings and recommended next steps You’ll receive the raw ...