Krishanu A.

Key Skills

Software

Other

Top Subject Matter

Fraud detection and LLM-based anomaly detection for social platforms

Customer behavior prediction using historical business datasets

Predictive analytics and forecasting models for industry trends

Top Data Types

Text

Document

Top Task Types

Fine-tuning

Data Collection

Classification

Text Summarization

Freelancer Overview

Data Analyst (Meta, contracted via TEKsystems) - Fraud detection model refinement and AI QA oversight. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Master of Science, Dublin Business School (2025). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Fine-tuning, Data Collection, and Classification.

Labeling Experience

Data Analyst (Meta, contracted via TEKsystems) - Fraud detection model refinement and AI QA oversight

Fine-tuning

Served as internal QA lead and supported refinement of LLM-based fraud detection models through analysis of user-profile data. Conducted in-depth investigation of fraud-related behavior patterns to improve model training inputs and evaluation outcomes. Integrated privacy-by-design workflows to ensure compliance while working on AI-driven detection improvements. • Performed behavioral pattern identification using large-scale SQL-derived features • Contributed to refinement of LLM-based fraud detection model performance • Coordinated with policy and development teams to address data and labeling-related issues • Established QA operating protocol to improve downstream model reliability

2025 - Present

Data Analyst (SDAD Technology) - Predictive ML modeling and ML-ready data preparation

OtherClassification

Developed predictive machine learning models for industry trend forecasting to improve forecast accuracy. Maintained BI dashboards to support data-driven decisions and facilitate interpretation of model results. Implemented ETL pipelines enabling integration of structured and unstructured data for modeling workflows. • Built ML forecasting models to enhance predictive accuracy • Implemented ETL pipelines for data integration used by analytics and reporting • Maintained Power BI and Tableau dashboards for real-time decision support • Conducted quantitative and qualitative research to produce targeted reporting insights

2023 - 2024

Data Analyst (Panchshool Infrastructures) - Data validation, ETL, and ML/EDA preparation

OtherData Collection

Performed extensive data cleaning and validation to ensure high accuracy of datasets used for subsequent analysis and modeling. Implemented end-to-end ETL pipelines for automated extraction and preprocessing into usable formats for analysis. Conducted statistical and exploratory data analysis to identify trends and opportunities that informed project operations. • Applied Pandas, NumPy, and Scikit-learn for automated preprocessing • Validated datasets to achieve minimum 95% accuracy • Produced SQL-SSRS reports to support data-driven decision making • Conducted EDA to streamline operations and improve efficiency

2022 - 2023

Data Management Intern (Voorent) - Preparing ML-ready datasets and customer behavior prediction work

OtherData Collection

Utilized historical customer data and machine learning techniques to improve prediction accuracy for customer behavior. Prepared and structured KPI-related datasets for downstream analytics and reporting use. Produced actionable insights in collaboration with cross-functional teams to support business outcomes. • Organized and structured sales, revenue, and marketing data for KPI tracking • Applied machine learning to historical data for customer behavior prediction • Generated insights supporting revenue growth initiatives • Streamlined data structuring for efficient data warehousing and accessibility

2021 - 2022

Research Associate (Apelo Consulting) - Structuring research data for analysis and reporting

OtherText Summarization

Conducted primary and secondary market research and processed research outputs into structured formats for further analysis. Interpreted processed research data and authored reports used to influence client decisions. Collaborated with industry experts and performed interviews to gather qualitative inputs for reporting. • Reformulated research data into structured formats for analysis • Produced high-quality client reports based on interpreted findings • Conducted interviews and collected market insights • Synthesized insights driving client satisfaction improvements

2021 - 2021

Education

Work History