AI-Driven Personal Task Recommendation Agent
Agent-based scheduling that adapts to user context.
- Built a “digital twin” agent that adapts to context and energy levels.
- Designed Gemini + Kaggle Agents workflows with rule-based prioritization.
Hi, I’m Isha
I turn complex data into intelligent AI & ML systems
built for real-world decisions.
Master’s in Data Science at Pace University, applying analytical work to real operational challenges.
New York/ New Jersey
Projects
Things I’ve built
Short, focused projects. Each has a clear question, a simple model, and a way to explain what’s going on.
FairLens AI
Fair & explainable sustainability scores for food products.
- XGBoost pipeline on Open Food Facts to score products on sustainability.
- SHAP, LIME, and AIF360 to explain and audit how the model treats groups.
MoMA Exhibition Helper
Logistic regression to predict if an artwork will be exhibited.
- Cleaned MoMA metadata and engineered features like medium and period.
- Used SHAP to see how medium, year, and artist history shift the odds.
Audio Emotion Recognition
SVM classifier on MFCC features extracted from speech clips.
- Librosa to build feature vectors (MFCCs and friends) from audio.
- Tuned SVM and read confusion matrices to see which emotions clash.
CreditMate
A small app that simulates how credit behaviour changes score and interest.
- Designed flows that show “what if I pay this much, this late?” in simple language.
- Focused on clear explanations rather than heavy modelling.
EXPERIENCE
Professional Journey
Freelance Data Science Consultant
- Delivered end-to-end data science solutions for small businesses and individual clients using Python (Pandas, Scikit-learn) and SQL.
- Performed data cleaning, exploratory data analysis, and predictive modeling to enable data-driven decision-making.
- Built forecasting and decision-support models (budget projections, demand estimation, performance tracking).
- Translated technical results into clear business insights to support strategic and operational improvements.
Predictive Modeling
Forecasting
Business Insights
Administrative Assistant & CACFP Coordinator - Senior Adult Daycare
- Managed and analyzed meal counts, attendance, enrollment, billing, and payroll data across two state-regulated centers using MySQL.
- Maintained audit-ready records in compliance with federal CACFP guidelines; passed all external audits without findings.
- Prepared recurring financial and enrollment reports using PostgreSQL queries to ensure billing accuracy and timely payroll processing.
- Implemented structured validation workflows and streamlined regulatory submissions for on-time compliance.
- Handled sensitive data with strict confidentiality while identifying process gaps to reduce reporting errors.
Compliance Analytics
Financial Reporting
Data Validation
Data Analyst - HiTech Corporation Ltd.
- Analyzed production, inventory, and order data using Python and SQL to identify bottlenecks and cost inefficiencies.
- Tracked machine usage, order flow, and turnaround times through daily dashboards that reduced reporting lag.
- Developed KPIs and YoY performance views to support capacity planning and scheduling decisions.
- Cleaned and validated operational datasets (timestamps, duplicates, batch IDs) to ensure reliable downstream analysis.
- Delivered concise dashboards and executive summaries to guide workflow optimization and cost control.
Operations Analytics
SQL & Python
KPI Development
Skills
What I bring to a project
A mix of hands-on technical work and the non-technical pieces that keep projects moving: structure, communication, and calm when the data is messy.
Technical
Non-Technical
Technical skills
Programming & data
PythonPandasNumPySQL (basics)Excel (advanced)
ML & analytics
ClassificationClusteringAnomaly detectionModel evaluation
Train/validation pipelinesSHAPLIMEAIF360
Statistics & performance analysis
AI & applied modeling
Supervised learning (SVM, Random Forests, XGBoost)
Unsupervised learning (K-means, DBSCAN, GMM)
NLP basics (text cleaning, embeddings)
Recommender logic (ranking, scoring, simple heuristics)
RAG concepts & LLM-based explanation workflows
Tools & deployment
Jupyter / VS CodeGit & GitHubFastAPI (basic APIs)
Streamlit (lightweight apps)Docker (basic containerization)
Non-technical skills
Analytical presentation
Breaking down technical conceptsClear, structured reporting
Story-driven insightsBuilding logical slide flows
Communicating decisions confidently
Project & operations
Project & change managementTask breakdownDocumentation
People & collaboration
Team collaborationStakeholder alignment
Guiding non-technical staffActive listeningProblem solving
Certifications
Professional learning & credentials
Focused certifications that strengthen my work in data, AI systems, and applied analytics.
Kaggle
5-Day AI Agents Intensive
AI Agents · Multi-agent systems · LLMs · Prompt engineering · NLP
View credential →Contact
Let’s talk
Open to internships and junior roles in data science, ML, or analytics.
If you have a role where a small, focused ML project could make a clear difference, I’d love to hear what you’re working on.
Email:
ishadp2016@gmail.com
LinkedIn:
https://www.linkedin.com/in/ishapatelip/
GitHub:
https://github.com/ishh160