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Rashi Wase

@rashiwase

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Data Scientist

India

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At Open Systems Technologies Inc, I designed a semantic candidate-matching and ranking system across 5K+ profiles, improving recruiter search efficiency by 30%. I also developed recruiting KPI dashboards and demand forecasting models to support hiring and inventory decisions.

At Welspot LLC, I analyzed borrower records and compared credit-risk models to support loan-review prioritization. My work included hypothesis testing and Tableau dashboards for underwriting teams.

Earlier, I built ETL workflows at Cognizant Technology Solutions and developed sentiment analysis and text classification workflows as a Data Science Intern at SpadeWorx Software Services. I hold an M.S. in Applied Artificial Intelligence from Stevens Institute of Technology.

Experience

Work history, roles, and key accomplishments

Data Scientist

Open Systems Technologies Inc

Sep 2024 - Dec 2025 (1 year 3 months)

Designed a semantic candidate-matching and ranking system using OpenAI embeddings and Pinecone, improving recruiter search efficiency by 30%. Engineered Python ETL workflows and Power BI dashboards to track recruiting KPIs and hiring trends, improving forecast accuracy by 20%.

Python SQL PySpark Power BI AWS MongoDB PostgreSQL OpenAI API Pinecone ETL Time series Forecasting Clustering Statistical Analysis Flask Semantic Search

Data Analyst

Welspot LLC

Jun 2023 - Aug 2023 (2 months)

Analyzed 39K+ borrower records using Python and EDA to identify key drivers of loan default and support feature engineering for credit risk modeling. Developed and compared XGBoost, Random Forest, and ANN models, with XGBoost achieving an AUC of 0.82 and F1 score of 0.74.

Python EDA Feature Engineering XGBoost Random Forest ANN Hypothesis Testing A B Testing Tableau Credit Risk Modeling

Programmer Analyst Trainee

Cognizant Technology Solutions

Feb 2022 - Jul 2022 (5 months)

Built and automated ETL workflows using Informatica IICS and SQL to process enterprise data for downstream analytics and reporting, reducing manual effort and improving workflow efficiency. Validated ETL pipeline outputs through data quality checks and coordinated milestones across a 50-member analytics cohort.

ETL Informatica SQL Data Quality Data Pipelines Analytics

Data Science Intern

SpadeWorx Software Services

Jun 2019 - Jul 2019 (1 month)

Developed NLP-based sentiment analysis and text classification workflows using NLTK, SpaCy, SVM, KNN, and Decision Trees to analyze product reviews and identify customer sentiment trends.

NLP Sentiment Analysis Text Classification NLTK SpaCy SVM KNN Decision Trees

Education

Degrees, certifications, and relevant coursework

Stevens Institute of Technology

Master of Science, Applied Artificial Intelligence

2022 - 2024

Grade: 3.96/4.0

Activities and societies: Secretary - Stevens Graduate Women in Business; Graduate Peer Leader and Mentor.

Master of Science in Applied Artificial Intelligence from Stevens Institute of Technology, completed in May 2024 with a GPA of 3.96/4.0.

Vishwakarma Institute of Technology

B.Tech, Computer Engineering

2018 - 2022

Grade: 8.01/10.0

Activities and societies: IEEE Pune Section - Member; Event Planning and Execution Committee - Manager; Social Welfare and Development Committee - Volunteer.

Bachelor of Technology in Computer Engineering from Vishwakarma Institute of Technology, completed in June 2022 with a CGPA of 8.01/10.0.