Pritesh S.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

AI-powered influencer marketing analytics (sentiment/context classification)

AI/data collection automation for influencer marketing analytics

Top Data Types

Text

Computer Code Programming

Top Task Types

Prompt + Response Writing (SFT)

Data Collection

Freelancer Overview

AI-powered analytics platform development with LLM sentiment analysis (Boomlet– Influencer Marketing Analytics Platform). Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes Bachelor of Engineering, Savitribai Phule Pune University (2015). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Prompt + Response Writing (SFT) and Data Collection.

Labeling Experience

Automated influencer/audience/brand data aggregation via Apify workflows (Boomlet platform)

OtherData Collection

Developed automation-driven data intelligence modules by integrating external data collection workflows for influencer and audience monitoring. Used Apify automation to extract influencer, audience, and brand data from multiple public sources including social media and news platforms. Built scalable backend architecture and REST APIs to support ongoing high-volume data aggregation and analytics processing. • Data collection via automation workflows across multiple platforms. • Backend pipelines to ingest collected records for downstream analysis. • Supporting modules for influencer activity monitoring and analytics dashboards. • REST API design to enable continuous data aggregation.

2023 - 2026

AI-powered analytics platform development with LLM sentiment analysis (Boomlet– Influencer Marketing Analytics Platform)

Don't discloseTextPrompt + Response Writing (SFT)

Built and operationalized an AI-powered influencer marketing analytics platform using LLM-based workflows for sentiment and context classification tasks. Integrated ChatGPT APIs to classify and generate contextual insights for comments, reviews, posts, and brand mentions. Designed role-based access controlled pipelines supporting secure automation of AI-driven analysis and reporting. • LLM sentiment/intent classification on social/text content. • Prompt-driven extraction of contextual signals and categorization outputs. • Automated brand monitoring and AI-generated reporting from high-volume streams. • Structured analytics ingestion to support ongoing decision-making dashboards.

2023 - 2026

Education

Work History