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Sailee Surve

@saileesurve

Research & Data Analyst specializing in AI/LLM research, web scraping, sentiment analysis, and fintech market intelligence.

India

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What I'm looking for

I’m seeking a remote Data Analyst / Research Analyst role to apply data-driven research and AI-assisted workflows—using web scraping, sentiment analysis, and LLM summarization—to drive business impact and improve turnaround time.

I’m a Research and Data Analyst with experience delivering structured datasets and analytical insights using web scraping, sentiment analysis, market intelligence, and LLM-based research workflows in the fintech space. At Kelp Global, I supported an investor-facing platform used by 100+ analysts and clients by sourcing leadership and people data, scraping career-page and social metrics, and running sentiment analysis on public comments to match client specifications.

I build automated data collection pipelines with Selenium and Apify, then use LLMs to summarize and enrich company information—cutting manual research time by ~40%. Previously, as a Data Scientist Intern at AskTalos, I developed ML prediction models (drug prediction, CO2 emissions, and cancer prediction), performed data cleaning and feature engineering, and communicated results with Matplotlib to stakeholders.

Experience

Work history, roles, and key accomplishments

Current

Strategic Partnership Research

Current

Kelp Global

Aug 2024 - Present (1 year 10 months)

Provided investor-focused research support for GIC by scraping leadership and firmographics, running sentiment analysis on public comments, and delivering client-ready datasets; used Selenium/JavaScript and LLM summarization to cut manual research time by ~40%. Built Apify SERP extraction and review-scraping pipelines (Glassdoor, AmbitionBox, app stores) and collaborated with developers to integra

Web Scraping Selenium JavaScript Apify SQL Sentiment Analysis Prompt Engineering Data Wrangling Market Intelligence

Data Scientist Intern

AskTalos

Aug 2023 - Feb 2024 (6 months)

Developed supervised-learning classification models for drug prediction, CO2 emission prediction, and cancer prediction using Apollo Hospital patient datasets. Cleaned and pre-processed large datasets (null handling, feature engineering/selection) and created Matplotlib visualizations to present results to stakeholders.

Python Machine Learning Supervised Learning data preprocessing Feature Engineering Classification Matplotlib

Multi-Subject Tutor

Self-Employed

Jan 2012 - Jan 2023 (11 years)

Tutored students across primary to junior college levels in multiple subjects, strengthening communication, mentoring, and analytical skills alongside academics.

Tutoring Lesson planning Student Mentoring Communication Academic Support Analytical Thinking

Education

Degrees, certifications, and relevant coursework

Inside AIML

Master of Data Science, Data Science

2023 - 2024

Completed a Master’s program in Data Science covering Python, machine learning, NLP, SQL, Power BI, statistics, and deployment from Aug 2023 to Feb 2024.