Hello! I am
Keval Patel
From Strategy to Solutions
Data pipelines, product roadmaps, dashboards, client presentations, I adapt and deliver.
4+
Languages
15+
Tools
Unlimited
Roles
def transform(self, role):
"""Adapt to any challenge"""
self.skills.optimize(role)
return self.deliver_excellence()01.About Me
I believe in the power of adaptability. In a world where technology evolves at lightning speed, being a specialist in one thing isn't enough, you need to be able to handle everything from strategy to success.
My superpower? Connecting the dots between technical implementation and business value by turning complex data into actionable insights.
02.Skills Matrix
Python
SQL
R
JavaScript
Power BI
Tableau
SAS
dbt
Snowflake
Databricks
AWS
GCP
Azure
PostgreSQL
Apache Spark
MongoDB
Informatica
Machine Learning
AI
JIRA
ServiceNow
Git
Agile
Consulting
Analytics
Automation
Research
ETL/ELT
RDBMS
MS Office
Data Warehousing
OLTP/OLAP
Gene Sequencing
scRNA-seq
Image Processing
Predictive Modeling
Signal Processing
Data Annotation
PLM
Project Management03.Work Experience
Data Engineer
Advocate Health
- ▸Effectively and efficiently led business process and information technology control assessment activities for customers within the organization whilst maintaining HIPAA compliance.
- ▸Optimized data testing strategies and collaborated with technical teams to improve validation workflow, pipeline efficiency by 25%, data quality by 35% of clinical trial data and EHR.
- ▸Documented end to end business processes and designed improved workflows for migration, enhancing efficiency and reducing errors by 30%.
- ▸Designed PowerBI dashboards integrating leader feedback and KPI data for 250+ teammates and 30+ leaders.
- ▸Automated data transformations and migrated legacy reports using Python, reducing process time by 80%.
- ▸Partnered with stakeholders and to engineer and optimize data cleaning and validation using SQL resolving ingestion and configuration issues to ensure scalable data environments.
- ▸Acted as a technical and analytics consultant, translating business requirements into data driven solutions and advising stakeholders on best practices in data management.
- ▸Authored knowledge base articles documenting challenges, root causes, and resolutions to enhance team knowledge and troubleshooting efficiency.
Data Analyst
Zebrafish Genetics and Cancer Therapeutics Lab
- ▸Spearheaded computational oncology research by performing data analysis using Tableau and built dashboards, building AI/ML models, and supporting statistical workflows using Python.
- ▸Investigate and evaluate analytical methodologies to determine the most effective approaches for deriving robust and reproducible research outcomes for genomics and various huge datasets.
Data Science Fellowship
Boston University
- ▸Collaborated with faculty to support the delivery of Data Science courses, including delivering lectures on data preprocessing, data quality and validation, data warehousing in SQL.
- ▸Created and refined technical instructional materials, featuring SQL based demonstrations, applied data science workflows, and design principles.
AI Researcher
Nanavati Hospital for Cancer Care
- ▸AI based Left Anterior Descending Artery contouring for radiotherapy of left breast cancer.
- ▸Performed medical image contouring, feature extraction, and auto segmentation using machine learning techniques to generate accurate performance metrics.
- ▸Labeled and contoured MRI datasets for segmentation tasks, applying deep learning and predictive modeling to extract latent features and convert imaging data into binary representations using Python.
Data Analyst Intern
R. S. Electronics
- ▸Developed financial models using Python and SQL to predict customer churn rates, optimizing pricing strategies and revenue retention plans.
- ▸Conducted cost benefit analysis to improve the subscription pricing structure, increasing retention by 15%.
04.Education & Achievements
Master's in Computer Information Systems
Database Management & Business Intelligence
Bachelor of Technology
Electronics & Tele-Communication Engineering
Certifications
Forward Program
McKinsey & Company
Agile Essentials
Coursera
★Notable Achievements
Mentor for AI Young Global Leaders Fellowship at Massachusetts Institute of Technology
Presented on Data & AI in Healthcare at NC State University and Duke University
05.Projects
Azure-Based Data Warehousing and Pipeline Optimization for Crime and Arrest Data
Boston University, MA
- ▸Developed an automated warehouse with optimized data pipelines using Databricks and ADF for the datasets, enabling real time analytics in PowerBI.
- ▸Implemented test driven development and performance benchmarking to ensure data quality and scalability.
AI-Driven Consumption Forecasting and Economic Analysis for Sustainable Resource Management
Boston University, MA
- ▸Collaborated with management and sustainability team to analyze consumption patterns using AI to forecast number of plates and food quantities consumed, helping identify trends in food demand and help reduce waste.
- ▸Leveraged skills in Python, Data Visualization in Tableau to analyze financial and operational impacts to help support decision making by providing insights on cost saving and resource optimization.
- ▸Performed Contouring, Feature Extraction and Auto Segmentation through Machine Learning on data to help calculate performance metrics integrating advanced AI models (Linear Regression, R-CNN).
- ▸Contoured and labelled dataset to carry out segmentation from latent features using MRI by deploying deep learning techniques and Predictive Analysis such as KNN Classifier and converted images into binary using Python.
- ▸Inspired by Active Noise Cancellation and ML algorithms such as Linear Regression and KNN to help optimize noise cancellation performance.
Report on Behavioral Risk Factor Surveillance System Survey Data using Data Mining
Boston University, MA
- ▸Demonstrated exceptional proficiency in predictive modeling of depressive disorders by achieving a True Positive Rate exceeding 80% in R. Successfully addressed challenges posed by imbalanced data and optimized classification algorithms.
- ▸Achieved the mentioned TPR value using various ML methodologies such as KNN, rpart, Boruta, Logistic regression, J48, SVM, Information Gain and other various performance models over Undersampled and Oversampled datasets.
Performance Tuning and Data Warehousing in Snowflake for 'Vehicle Collision in NYC' Data
Boston University, MA
- ▸Successfully optimized a 1.7 GB unstructured dataset on Snowflake using performance tuning methodologies such as query simplification, effective cache usage and helped improve performance and in time reduction in real time.
- ▸Troubleshoot various issues faced during the ETL process for uploading data through Python into the SQL software without any discrepancies. This led to a significant change and reduction in the amount of time required during loading.
Dynamic Portfolio Optimization using Market Volume and Dividend Yield Strategies
Boston University, MA
- ▸Optimized financial portfolios using Python, employing techniques such as market volume and dividend yield weighting, and rebalancing strategies to maximize cumulative returns and improve return to volatility ratios.
- ▸Utilized advanced data processing libraries (Pandas, NumPy) and optimization frameworks to create and back test portfolio strategies, achieving enhanced portfolio performance through dynamic asset allocation and created a dashboard on Tableau.
06.Research Work
Cancer Drug Research at Zebrafish Genetics and Cancer Therapeutics Lab
Active research on cancer drug development using computational biology and advanced data analysis techniques.
07.Leadership, Volunteer & Extracurricular
- Chairperson & Secretary, Student Council, Led an enthusiastic team of 50 students, effectively making crucial decisions and ensuring coordination and communication.
- National Level Roller Skater, Competed at the national level in roller skating.
- Captain of the State Cricket Team, Led the state cricket team as captain.
- Data Analyst Volunteer, Bright Mind Enrichment and Schooling, Volunteered as Data Analyst for a non profit organization in California, USA.
Speaking Engagements & Presentations
Duke University
I presented on the role of Data and AI in healthcare at Duke University on behalf of the Society of Women Engineers. The session focused on how data-driven technologies are transforming clinical decision-making, research, and patient outcomes. I shared real-world examples and career insights to help students understand the practical impact of AI in healthcare.
North Carolina State University (NCSU)
At North Carolina State University, I served as a panelist on a career discussion for aspiring engineers. I spoke about different engineering roles and pathways, drawing from my own experiences across technical and interdisciplinary fields. The discussion aimed to help students navigate career choices and understand how engineering skills translate across industries.
06.Get in Touch
Whether you have a project in mind, want to collaborate on research, or just want to say hi — my inbox is always open. Let's build something amazing together!