B.S. Data Science, B.S. Applied Statistics, Purdue University, December 2025
Actively looking for my next role in data engineering or analytics!
import tanushree as meme.currently()me.skillsme.courseworkme.certificationsdef factory_intelligence(role):
# curate and organize video/sensor datasets capturing robot motion and positioning data
# use Python and SQL to build training data for imitation-learning models
# analyze task-completion rates and failure modes to prioritize retraining
# translate manufacturing customer processes into scoped technical requirements for pilot launches
# facilitate weekly standups, surfacing blockers and converting customer requests into engineering scope
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factory_intelligence(role="Technical Program Manager")def tata_consultancy_services(role):
# built and automated an end-to-end pipeline using SQL and Python to query, normalize, and validate ~1M loan records
# generated a written credit-portfolio report + live dashboard, cutting evaluation time to <5 minutes
# implemented data integrity controls across 5 predictive workflows, translating risk-analyst requirements into production logic
# containerized with Docker, deployed via FastAPI on GCP — dashboard auto-updates on incoming data
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tata_consultancy_services(role="Credit Risk Data Analyst Intern")def johnson_and_johnson(role):
# built a self-updating KPI reporting pipeline that re-ran automatically as new records arrived
# cut manual reporting effort out completely — zero recurring analyst time post-launch
# led an 8-person team and translated stakeholder requirements into defined weekly metrics
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johnson_and_johnson(role="Technical Project Manager")def elanco(role):
# led a 12-person team building a bioinformatics data pipeline analyzing gene diversity across 200+ feline genomes
# queried BLAST and IMGT databases for sequence alignment and immune gene annotation
# designed a multi-stage ETL workflow processing over 5TB of genomic data
# coordinated sprint scopes and milestones with Elanco product owners via Agile
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elanco(role="Technical Project Manager")def niimbl(role):
# led a 12-person team delivering a Python/Streamlit app simulating continuous manufacturing for monoclonal antibody production
# coordinated with product owners on biweekly priorities, mentored developers
# maintained documentation for post-handoff use
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niimbl(role="Technical Project Manager")def merck(role):
# built an NLP-powered semantic retrieval system from chromatography abstracts for Merck researchers
# designed a semantic data model in Neo4j — 7,000+ nodes, 11,300+ relationships — converting unstructured literature into reusable structured data
# fine-tuned SciBERT on domain abstracts, built hybrid relevance score using cosine similarity + BM25
# shipped an interactive Streamlit tool for researchers to query the index; presented weekly updates via Confluence
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merck(role="Undergraduate Data Science Researcher")def nasa_space_biology(role):
# built reproducible pipelines in R and SQL over NASA GeneLab multi-omics data
# quantified gene-expression shifts under varying gravitational conditions across large-scale biological datasets
# documented methodology end-to-end for cross-team reproducibility
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nasa_space_biology(role="Undergraduate Data Science Researcher")def girls_who_code(role):
# collaborated with campus tech clubs to host CS education workshops for students across diverse majors
# organized volunteer coding events at local middle and high schools
# built a mentorship pipeline connecting 30+ current students with GWC Purdue alumni across 5+ schools
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girls_who_code(role="Director of Outreach & Chair of Alumni Relations")def innovateher_hackathon(role):
# led all marketing and outreach for Purdue's first women-centric hackathon
# designed the event website and managed social media, connecting with applicants and CS clubs on campus
# secured 10+ corporate sponsors, attracted 200+ first-time attendees
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innovateher_hackathon(role="Director of Outreach, Marketing & Communications")email · LinkedIn · GitHub · Tableau portfolio · resume