Devesh S.

Key Skills

Software

Other

Top Subject Matter

Operational and campaign analytics (data validation)

Pipeline KPI monitoring and data quality/risk analysis

Operational data processing and reporting

Top Data Types

Document

Text

Top Task Types

Data Collection

Classification

Freelancer Overview

MIS & Digital Analytics Intern — Uniwesti Overseas. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and Power BI. Education includes Post Graduate Diploma in Management, G.L. Bajaj Institute of Management & Research (2026) and Bachelor of Science, University of Lucknow (2021). AI-training focus includes data types such as Document, Computer Code, and Programming and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Data Operations & MIS Intern — Einfratech Systems

OtherDocument

Performed systematic data quality and risk analysis by reducing entry errors to improve the reliability of downstream analytics and AI evaluation. Reviewed and summarized outlier trends and recommended process improvements, mirroring assessment of analytical reasoning. Coordinated real-time updates with cross-functional teams to maintain consistent data for reporting and validation tasks. • Data quality auditing and error reduction • Outlier review and analytical reasoning assessment • Process improvement recommendations • Coordinated data updates for consistent reporting

2025 - 2025

Retail Intelligence & Anomaly Reporting — SQL Analytics (p1_retail_db)

OtherDocument

Queried a retail sales database using advanced SQL aggregations to identify anomalous patterns, peak revenue windows, and consumer outliers. Produced BI-style analytical reports segmented by time to help validate data logic and catch incorrect interpretations. Focused on surfacing errors or misleading trends that would be analogous to validating AI-generated analytical outputs. • SQL-based anomaly and outlier detection • Time-segmented BI reporting • Validation of analytical logic via queries • Identification of potentially incorrect interpretations

2024 - 2024

AI Sales Forecasting & Power BI Dashboard — Kaggle (Superstore Dataset)

Developed a demand forecasting ML model and validated predictions against actuals to assess statistical logic and model accuracy. Built interactive Power BI dashboards with variance analysis and trend highlights to verify that insights match underlying data. Integrated ingestion, wrangling, ML modeling, and visualization into a single workflow suitable for evaluating AI-generated dashboard outputs. • Forecasting model development and validation • Variance analysis and trend verification in dashboards • End-to-end data-to-insight pipeline • Power BI visualization to support assessment of predictions

2024 - 2024

GenAI-Powered Conduct Risk Analytics — NLP Text Classification (Academic Project)

OtherDocumentClassification

Built an end-to-end NLP text classification pipeline by collecting, cleaning, and classifying large-scale complaint data. Engineered features and applied ML models to identify risk indicator trends and validate model outputs through structured reporting. Designed preprocessing, EDA, and feature engineering for unstructured text to ensure outputs were logically consistent. • NLP data collection, cleaning, and preparation • Text classification modeling and output validation • Feature engineering and EDA for unstructured data • Structured reporting of risk indicator trends

2024 - 2024

Data Collection & Reporting Intern — Bikanervala Pvt. Ltd

OtherDocumentData Collection

Organized and transformed operational data using Excel with pattern detection and exception flagging to surface process improvements through data storytelling. Produced structured summary reports with clear visualizations and key metric analysis for leadership, supporting evaluation of analytical outputs. Focused on compiling reliable information that can be used to assess whether generated insights align with underlying evidence. • Pattern detection and exception/flagging • Structured reporting for leadership • Data storytelling with key metrics • Excel-based operational data transformation

2024 - 2024

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Education

Work History