Available for Full-Time Roles
Sakshi Aade
Sakshi Aade
New York, NY · Open to Work

Data Scientist
& Analyst

I turn complex data into decisions that move the business — through rigorous experimentation, predictive modeling, and GenAI-powered analytics.

View Projects Get In Touch LinkedIn
Experience & Education
Fidelity Investments
Northeastern University
126M+
Customer Records Analyzed
$76M
Business Impact at Fidelity
5+
End-to-End Projects
2+
Years Industry Experience
About Me

Close to the Business

I'm a Data Scientist and Analyst with a focus on prospect targeting, acquisition analytics, and machine learning — with a strong preference for staying close to the business rather than working in isolation.

At Fidelity Investments, I built prospect demographic profiling pipelines, surfaced $76M in churn exposure across 126M+ customer records, and designed content-to-conversion funnels that improved conversion rates by 42%.

I hold an MS in Information Systems (Data Analytics) from Northeastern University, and I'm NVIDIA-certified in Generative AI with hands-on LLM integration and RAG pipeline experience.

Currently seeking full-time Data Scientist and Data Analyst roles where I can blend technical rigor with direct business impact.

🏅 NVIDIA Certified — Generative AI LLMs ↗
Education
MS Information Systems
Concentration: Data Analytics & Engineering
Northeastern University · 2023–2025 · GPA 3.52
Based In
New York, NY
Open to hybrid and remote roles nationwide
Featured Work

End-to-End Projects

📊
Social Engagement Intelligence Platform
Meta-style product analytics system simulating a feed algorithm A/B test across 50K users. Includes power analysis, novelty effect checks, multiple testing correction, XGBoost churn prediction, BERTopic NLP, and a business impact estimator.
A/B TestingXGBoostSHAPBERTopicClaude APIStreamlit
⬡ GitHub ↗ Live Demo
🔍
Credit Card Fraud Detection Platform
End-to-end fraud detection on 284K real transactions. SQL data warehouse with window functions, velocity feature engineering, 3-model comparison (LR vs XGBoost vs PyTorch Neural Network), and Claude API for AI-generated compliance risk narratives.
PyTorchXGBoostSQLiteSHAPClaude APIStreamlit
⬡ GitHub ↗ Live Demo
🧠
TED AI Curator — Multi-Agent System
Multi-agent AI system for TED Talk discovery built on LangGraph with Snowflake Cortex. Features semantic vector search, AI safety guardrails, playlist generation, talk comparison, and grounded Q&A powered by a RAG pipeline.
SnowflakeLangGraphdbtAirflowRAGStreamlit
⬡ GitHub
🍽️
Food Inspection Data Warehouse
End-to-end data warehousing on Chicago and Dallas food inspection data. Built Star Schema dimensional model with SCD Type 2, Talend ETL pipeline integrating multiple sources, and real-time Power BI and Tableau dashboards.
Talend ETLSQL ServerPower BITableauAlteryxER Studio
⬡ GitHub
Work History

Industry Experience

Data Scientist — Co-op
Jan 2025 – Jul 2025
Fidelity Investments · Boston, MA
  • Built audience segmentation and prospect profiling pipelines using third-party enrichment data, identifying high-value customer cohorts that directly shaped campaign targeting decisions
  • Ran large-scale campaign overlap analysis across multiple channels, surfacing redundant outreach patterns and enabling smarter budget allocation with cleaner attribution
  • Designed content-to-conversion funnels and ran A/B tests across demographic segments, using behavioral analysis to isolate conversion drivers and improve campaign performance
  • Built an end-to-end analytics infrastructure integrating 14+ data sources across 1.4M+ accounts, delivering self-service dashboards that eliminated vendor dependency and accelerated business decisions
  • Quantified financial exposure from customer churn across 126M+ engagement records, surfacing actionable insights that directly influenced targeting policy changes
Data Analyst
Aug 2024 – Dec 2025
IST Management Services · Boston, MA
  • Built automated data pipelines processing millions of monthly records from multiple source systems, enabling real-time operational KPI tracking and reducing manual reporting overhead
  • Designed self-service BI dashboards that surfaced cost-saving opportunities and gave leadership direct visibility into resource allocation decisions
  • Applied root cause analysis and statistical testing to identify workflow bottlenecks, improving throughput and informing operational process redesign
Data Analyst
Aug 2022 – Aug 2023
Springflex Technologies · Pune, India
  • Analyzed large-scale operational data to identify vendor performance failures, directly informing partnership restructuring decisions that reduced delivery times significantly
  • Built real-time monitoring dashboards replacing reactive incident reporting with proactive visibility across performance, efficiency, and SLA adherence
  • Surfaced demand patterns and underperforming segments to move weekly business strategy decisions from intuition to data
Tech Stack

Skills & Tools

Languages
PythonSQLRPySpark
ML & AI
Scikit-learnXGBoostPyTorchHuggingFaceSHAP
GenAI & LLMs
RAGLangChainLangGraphClaude APIBERTopic
Visualization
TableauPower BIStreamlitPlotlyLooker Studio
Cloud & Databases
SnowflakeBigQueryPostgreSQLMySQLMongoDBPinecone
Data Engineering
AirflowKafkadbtDockerFastAPITalend
Analytics Skills
A/B TestingPropensity ModelingFeature EngineeringCohort AnalysisAudience SegmentationMarket Basket AnalysisStatistical ModelingData WarehousingETLBusiness IntelligenceBehavioral Analytics
Get In Touch

Let's Connect

I'm actively looking for full-time Data Scientist and Data Analyst roles. If you're working on interesting problems with data, I'd love to connect.

Open to Full-Time Opportunities
📧
Email
sakshiaade03@gmail.com
💼
LinkedIn
linkedin.com/in/sakshi-aade
⬡
GitHub
github.com/sakshiraade