How much experience does Darleen Saini have?

Darleen Saini has 0 years of professional experience.

What skills does Darleen Saini have?

Darleen Saini's skill set includes data/ business analyst,AI operations,prompt engineering,product analyst.

Who lists Darleen Saini on the bench?

Darleen Saini is listed on the bench by iitjobs inc. Engagements can be requested through iitjobs.

Is Darleen Saini available right now?

Yes — Darleen Saini is available for Full-time engagements.

Darleen Saini

San Jose, CA, USA 0 yrs experience on iitjobs inc's bench

AvailableFull-time us citizen

About

Results-driven Data & Analytics professional with strong experience in building NLP-powered data products, financial sentiment models, and business intelligence solutions using Python and SQL. Proven ability to translate complex data into actionable insights through advanced analytics, KPI design, and experimentation, with hands-on experience benchmarking LLM and cloud platforms (Azure AI, GCP, OpenAI) to recommend scalable analytics solutions.

Demonstrated impact through high-visibility projects, including developing a multi-model sentiment analysis pipeline on Microsoft earnings calls, linking sentiment signals to stock performance, and publishing thought leadership on AI-driven analytics. Adept at creating end-to-end data solutions—from ETL and data warehousing to interactive dashboards and AI-powered applications—supporting both finance and marketing decision-making.

Strong communicator with experience presenting insights to cross-functional stakeholders and driving adoption of data-driven strategies. Combines technical expertise in machine learning, generative AI, and BI tools with a business-focused mindset to deliver measurable outcomes in fast-paced environments.

Skills & Expertise (4)

data/ business analystAI operationsprompt engineeringproduct analyst

Education

Santa Clara University – Leavey School of Business
• Master of Science in Information Systems September 2023-June 2025
• Bachelor of Science Management Information Systems and Business Analytics September 2020-March 2024

Projects

Generative AI to Create Stories | Python – Streamlit, NLTK, LangChain, Open AI – GPT Models, Dall-e, Text to Speech, LLMs
• Created an interactive AI storytelling product, fine-tuning LLMs to generate text, illustrations and text-to-speech,
demonstrating applications of generative AI in digital media.
Data Warehousing & Business Intelligence Project – Divvy Bike Share System | Python, ETL, EDA, SQL, Tableau
• Engineered a full analytics lifecycle for the Divvy bike share system (21M+ trip records), from ETL into a MySQL star
schema to interactive Tableau dashboards, driving recommendations on pricing, station rebalancing, and membership growth.
Predicting Stock Price Movement | SpaCy, Document-Term matrix, Random Forest, Logistic Regression, AutoGluon, SVM
• Developed and validated machine learning models as predictive data products, achieving F1 score of 0.80 on 40
healthcare earnings call transcripts demonstrating reliable predictive accuracy for financial decision-making.