Haleema S.

Key Skills

Software

Don't disclose

Top Subject Matter

Financial

Ecommerce Automation

Real Estate

Top Data Types

Image

Top Task Types

Fine-tuning

Data Collection

Prompt + Response Writing (SFT)

Freelancer Overview

Associate Data Analyst (CU Online) — dataset preparation and validation support for analytics and predictive modeling. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Data Science, COMSATS University and Associate Data Analyst, CU Online (2022). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Fine-tuning, Data Collection, and Prompt + Response Writing (SFT).

Labeling Experience

Sr. Data Analyst (ML Vision Technologies) — predictive analytics and AI-driven forecasting workflow support

Don't disclosePrompt + Response Writing (SFT)

Developed and maintained dashboards, reports, and KPIs using BI tools while supporting AI-driven predictive solutions integrated into business workflows. Performed data cleaning, validation, and transformation to ensure the quality of inputs used for forecasting, anomaly detection, and automation. Helped integrate machine learning model outputs into operational processes to optimize strategy and performance. • Data cleaning/validation and transformation for analytics accuracy • Predictive modeling and anomaly detection workflow support • Integrated AI-driven solutions into forecasting and automation • Supported financial/marketing/operational trend analysis via dashboards

2024 - Present

Data Analyst — automated reporting and dataset cleaning/standardization for predictive analytics

Don't discloseData Collection

Built and automated data analysis and reporting pipelines using Python and SQL to reduce manual workload and improve efficiency. Applied predictive analytics approaches and created clean, standardized datasets for reliable forecasting use cases. Designed dashboards and visual reports to communicate insights derived from processed data. • Automated recurring reporting tasks with Python/SQL • Cleaned and standardized datasets for reliable decision-making • Forecasting & predictive analytics support • Created interactive dashboards in Power BI/Tableau

2022 - 2024

Associate Data Analyst (CU Online) — dataset preparation and validation support for analytics and predictive modeling

Don't discloseFine-tuning

Assisted in collecting, cleaning, and validating datasets for accurate reporting, supporting preparation of structured data for downstream analytics. Used automation and basic statistical analysis as part of iterative dataset refinement for training-ready data. Worked with senior analysts to support dashboard and report creation based on cleaned inputs. • Education dataset preprocessing and validation • Dataset standardization to improve reporting reliability • Support for dashboard/report building workflows • Basic trend analysis to inform modeling inputs

2021 - 2022

Education

Work History