AI Engineer & Prompt Specialist | Data Science & Marketing Analytics Multi-skilled AI Engineer, Data Scientist, and AI Prompt Engineer with experience spanning machine learning development, dataset curation, and business analytics. I combine technical expertise in AI development, web development, data collection, and data annotation with a strategic background as a Product Marketer and Marketing Analyst. I excel at refining prompts, building clean training datasets, analyzing complex data, and transforming raw information into high-performing, real-world AI solutions.…

MONALISA BEHERA

AI Engineer & Prompt Specialist | Data Science & Marketing Analytics Multi-skilled AI Engineer, Data Scientist, and AI Prompt Engineer with experience spanning machine learning development, dataset curation, and business analytics. I combine technical expertise in AI development, web development, data collection, and data annotation with a strategic background as a Product Marketer and Marketing Analyst. I excel at refining prompts, building clean training datasets, analyzing complex data, and transforming raw information into high-performing, real-world AI solutions.…

Available to hire

AI Engineer & Prompt Specialist | Data Science & Marketing Analytics

Multi-skilled AI Engineer, Data Scientist, and AI Prompt Engineer with experience spanning machine learning development, dataset curation, and business analytics. I combine technical expertise in AI development, web development, data collection, and data annotation with a strategic background as a Product Marketer and Marketing Analyst. I excel at refining prompts, building clean training datasets, analyzing complex data, and transforming raw information into high-performing, real-world AI solutions.

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Language

English
Fluent
Hindi
Fluent
French
Advanced

Work Experience

Product Analyst at ProdZen
July 1, 2025 - December 31, 2025
Analyzed complex datasets to extract insights and ensure data fed into internal models was clean and properly categorized. Produced structured textual content, learning-style documentation, and analytical summaries to improve interpretation across cross-functional teams. Applied strict quality control to product metrics with a similar attention to detail used in AI data annotation and content evaluation.
AI & Data Science Consultant (Freelance) at Turing
February 1, 2025 - Present
Generated, cleaned, and validated high-quality datasets for machine learning applications. Created structured content and workflows to connect technical ML processes with practical user needs. Curated real-world data examples and produced instructional materials for training, testing, and evaluating AI system performance. Built dashboards and analytical examples to support data integrity and track project accuracy.
Business Analyst (Intern) at LearnVista Pvt. Ltd.
May 1, 2024 - April 30, 2025
Performed precise SQL-based data extraction and formatting for accurate reporting. Translated raw data into clear visual insights and team dashboards. Maintained strong data hygiene and organizational standards throughout analytical projects.
Product Marketing Manager at ICICI Bank Ltd.
March 1, 2021 - August 31, 2022
Created targeted, high-quality customer-segment content to improve product adoption. Synthesized demographic and behavioral data into actionable marketing logic. Presented complex analytical findings in a simplified, easy-to-understand way for broader stakeholders.

Education

MBA – Business Management at Symbiosis Institute of International Business
January 11, 2030 - August 13, 2026
B.Tech – Electrical & Electronics Engineering at SOA University
January 11, 2030 - August 13, 2026

Qualifications

Generative AI & NLP
January 11, 2030 - August 13, 2026
AWS Certified Data Analyst
January 11, 2030 - August 13, 2026
Microsoft Power BI Data Analyst
January 11, 2030 - August 13, 2026
Google Analytics
January 11, 2030 - August 13, 2026

Industry Experience

Education, Financial Services, Software & Internet, Professional Services
    Customer Behavior Analytics & AI Training Dataset Preparation

    Project Overview:
    A comprehensive data analysis initiative designed to evaluate product adoption metrics and customer sentiment. The objective was twofold: to extract actionable insights for product marketing strategies and to curate a clean, highly structured, and annotated dataset to train a specialized AI sentiment model. This project bridged the gap between raw unstructured data and actionable business intelligence.

    My Contributions & Process:

    Data Collection & Extraction: Leveraged advanced SQL queries to extract raw transactional and behavioral data from internal databases, ensuring data integrity and completeness.

    Data Cleaning & Processing: Utilized Python (Pandas and NumPy) to process and clean messy, unstructured customer feedback, removing anomalies and standardizing formats for analytical readiness.

    Marketing & Product Analytics: Performed deep-dive data analysis to segment user profiles, identifying high-value demographics and product adoption trends to inform targeted marketing campaigns.

    AI Dataset Annotation & Prompt Testing: Labeled and annotated thousands of qualitative feedback data points. Designed and executed structured AI prompts against Large Language Models (LLMs) to evaluate the dataset’s effectiveness for sentiment analysis training.

    Data Visualization & Reporting: Developed a dynamic, interactive dashboard to present key performance indicators (KPIs) to stakeholders. The visualization simplified complex data points into easy-to-understand trends.

    Tools & Technologies Used:

    Languages: Python (Pandas, NumPy), SQL

    Visualization: Microsoft Power BI, Tableau

    AI & Data Ops: LLM Prompting, Manual Data Annotation, Data Scraping tools

    Domain Focus: Product Marketing, Customer Segmentation, NLP Training Data

    Business Impact & Outcome:
    Delivered a scalable, interactive dashboard that successfully identified optimization opportunities in product marketing spend by isolating top-performing customer segments. Concurrently, generated a rigorously vetted, 100% accurate text dataset that was immediately deployed as the foundational training data for an AI-driven customer experience tool.