Skylinecapital A.

Key Skills

Software

Google Cloud Vertex AI

Top Subject Matter

Business documents

structured datasets

CRM/operations analytics

Top Data Types

Document

Text

Top Task Types

Question Answering

Data Collection

Classification

Freelancer Overview

Data Analyst (AI/ML-ready data preparation and reporting automation) at Maestro Technologies, Inc.. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Google Cloud Vertex AI. Education includes Master of Science, Virginia Commonwealth University and Master of Business Administration, Christ University. AI-training focus includes data types such as Document, Computer Code, and Programming and labeling workflows including Question Answering, Computer Programming, and Coding.

Labeling Experience

Data Analytics and Machine Learning Trainee - ElevateMe Bootcamp

Google Cloud Vertex AITextClassification

Completed mentored coursework and projects in data analytics, machine learning, and AI automation for business analytics applications. Built analyses and dashboards using Python, Pandas, SQL, and statistical and predictive modeling techniques. Analyzed business processes inspired by CRM workflows and identified patterns driving operational and revenue performance using modeling and visualization.• Conducted EDA and statistical modeling, predictive analytics, and business workflow analysis projects.• Applied regression, classification, clustering, and correlation analysis to extract business drivers.• Built dashboards to visualize financial and operational KPIs with ML-based insights for decision-making.• Analyzed CRM-style processes such as bookings, contracts, payments, and lead/conversion workflows.

2024 - Present

Data Analytics & Machine Learning Trainee at ElevateMe Bootcamp (hands-on ML coursework).

Completed 300+ hours of hands-on coursework in data analytics, machine learning, and AI automation with mentor guidance. Built multiple analytics and predictive modeling projects using Python and SQL to derive insights from business datasets. Applied techniques such as regression, classification, clustering, and statistical analysis to support decision-making and workflow understanding.• Conducted EDA and statistical modeling for business analytics projects.• Built dashboards and ML-based insights for operational KPIs.• Analyzed CRM-style business processes (bookings, contracts, payments, lead/conversion workflows).• Applied predictive analytics methods including regression and clustering.

2024 - Present

Data Analyst (AI/ML-ready data preparation and reporting automation) at Maestro Technologies, Inc.

DocumentQuestion Answering

Built AI-oriented data preparation workflows to support LLM-ready analytics and downstream automation from structured business datasets. Implemented data cleaning, transformation, validation rules, and dataset structuring to improve data quality for analytics and model use. Created automated reporting and validation pipelines that enabled reliable outputs for stakeholders and future AI training use cases.• Structured and validated business datasets for LLM/RAG use readiness.• Automated dashboard workflows and reporting standards using analytics pipelines.• Developed SQL queries and stored procedures to enforce backend validation logic.• Led inventory data validation and reporting automation to reduce manual effort and improve tracking accuracy.

2023 - Present

Business Data Analyst at Reva Pharma (AI/ML and data validation/reporting workflows).

Google Cloud Vertex AIDocumentData Collection

Performed AI/ML and data analytics workflows for pharmaceutical business data with a focus on data quality, validation, and structured reporting. Built automated data pulls and data transformation pipelines to prepare operational and clinical datasets for monitoring and analysis. Implemented validation logic and documentation workflows to reduce errors and improve compliance-oriented data accuracy.• Developed SQL scripts and automated reporting/monitoring data pulls across operational and clinical sources.• Conducted data cleaning, quality checks, and transformation using Pandas, NumPy, and SQL Server.• Automated clinical trial data validation and reporting workflows to improve compliance-oriented accuracy.• Produced stakeholder-facing Power BI dashboards combining multi-region plant and product data.

2020 - 2021

Education

Work History