Riddhi Jain
Data Intern @Global Health Impact Project
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WORK HISTORY
Data Intern @Global Health Impact Project
Binghamton, NY, US
1) Built a Python + Databricks ETL pipeline that unified 7 incompatible WHO datasets across 220 country-program units, cutting data-prep time by 55% and creating a single reporting-ready schema for HIV, TB, and NTD analysis2) Authored 200+ automated Python validation rules that improved reporting accuracy from∼87% to above 99%, recovered 10+ analyst hours per cycle, and reduced manual spot-checking by 90%+3) Standardized aggregation scripts with variance checks and versioned change logs, shrinking reporting turnaround from 3 days to 2 and reducing stakeholder follow-ups by 35%
EDUCATION
Binghamton University
Master of Science - MS, Computer Science
Acropolis Group of Institutions
Bachelor of Technology, OOPS, Data structure and algorithm, DBMS, Software Development,Machine Learning
Laurels School International
Higher secondary , Pcm
ABOUT RIDDHI JAIN
I don\'t believe in dashboards that just look good I build ones that change how teams make decisions.As a Master\'s student in Computer Science at Binghamton University (GPA: 3.66) with 2+ years of hands-on experience, I specialize in the full data lifecycle: cleaning and engineering messy real-world data, building robust ETL pipelines, and delivering analytics that actually get used.At Binghamton\'s Global Health Impact lab, I unified 7 incompatible WHO datasets across 220 country-program units, automated 200+ validation rules that pushed reporting accuracy from ~87% to 99%+, and cut reporting turnaround from 3 days to 2. At Imentus Technologies (an algorithmic trading fintech), I built a production intraday feature store delivering 50K+ model-ready rows/month and reduced worst-case prediction error by 12% across 2 asset classes.What I work with: Languages: Python (Pandas, NumPy, scikit-learn), SQL (PostgreSQL, MySQL), R ML/AI: XGBoost, SHAP, MLflow, FAISS, sentence-transformers, FastAPI, Docker BI & Viz: Power BI (DAX, Power Query), Tableau, Streamlit, Excel Cloud & Infra: AWS (Certified), Oracle Cloud (Certified), Databricks, AzureI\'m actively seeking Summer 2026 internships in Data Analytics, Data Science, and AI/ML roles where I can bring structure to complex data problems and ship work that matters.Check out my projects on GitHub: github.com/rjain52208Let\'s connect: r•••••@binghamton.eduI’m especially interested in Data Analyst, BI Analyst, Product Analytics, and Data Science opportunities where strong data foundations matter clean pipelines, trusted metrics, sharp analysis, and clear storytelling. I enjoy solving problems end-to-end, from data cleaning and transformation to dashboards, experimentation, and insight generation.Core strengths: SQL, Python, Power BI, Tableau, Excel, ETL/ELT, data validation, KPI reporting, dashboarding, cohort analysis, hypothesis testing, feature engineering, and predictive analytics.Currently seeking Summer 2026 internships in Data Analytics / BI / Product Analytics. I’m also open to Data Science / ML roles where analytics meets modeling. Open to relocation. If your team cares about strong fundamentals (clean data, clear metrics, reliable dashboards), I’d love to connect.
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