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Click here or scroll down to respond to this candidate Candidate's Name
EMAIL AVAILABLE | PHONE NUMBER AVAILABLE | LINKEDIN LINK AVAILABLE | Github.com/PatelKaranStreet Address | Boston, MA
Available for Internship / Co-op Positions Starting January Street Address
EDUCATION
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Master of Science in Analytics | Northeastern University | Boston, MA Expected Apr Street Address
Relevant Courses: Probability and Statistics, Database Systems, Predictive Analytics, Data Mining, GPA: 3.8 / 4.0
Healthcare Analytics, Data Warehouse & Business Intelligence, Machine Learning
Bachelor of Technology in Electronics | Birla Vishvakarma University | Anand, India Aug 2019 -May 2023
TECHNICAL SKILLS
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Programming Languages : Python, SQL (DDL, DML, DCL, TCL, DQL), R, Java, JavaScript, HTML, CSS
Database Technologies : MS SQL Server, MySQL, Oracle, PostgreSQL, Mongo DB, Vector DB, Kafka, Hadoop
Visualization & BI Tools : Tableau, Power BI, Looker, Qlik View, Excel (V Lookup, Pivot Table)
Python Libraries : NumPy, Pandas, Keras, Scikit-learn, Matplotlib, Cuda, PySpark, TensorFlow
ML Techniques : Classification, Clustering, CNN, Decision-Tree, Boosting, A/B, NLP, LSTM
Data Warehousing Tools : Snowflake, AWS Redshift, Alteryx, Talend, Databricks, R studio, Azure Data Studio
Other Tools : Git, GitHub, Google Analytics, Anaconda, Confluence, Jira, Rest API, Jupyter Notebook
PROFESSIONAL EXPERIENCE
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Northeastern University | Boston, MA Research Analyst Gen AI Jan 2024 Present
Decreased the load on human support by automating repetitive inquiries through GenAI and LLM models
Assisting professors and the researchers for building the dashboards analyze the chatbot s performance, tracking metrics -
response accuracy, students satisfaction score, and their conversation length
Reduced query resolution time of 15000+ university students by 30% through RAG models - BERT, MT5 and NLP
Improved the overall satisfaction score by 25% by devising Rest APIs for contextual interpretations
Leveraged PostgreSQL & Mongo DB for storing user conversations and performance metrics and knowledge graphs
Cipriani Harrison Valves | Anand, India Data Analyst Jan 2023 - Dec 2023
Developed 10+ ETL pipelines to improve financial prediction reporting data flow of 5000+ customers & increased
accuracy by 60% for sales and revenue department
Designed 4 Tableau dashboards to visualize data insights on growth, revenue, etc. and reduced reporting time for CXO's
Led dashboard development to streamline workflows, reducing bottlenecks by 40% and enhancing global project support
Implemented a standardized reporting system enabling consistent and robust digital reporting
Collaborated with international stakeholders to drive data-driven decisions across multiple regions
PROJECTS
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Insurance Claim Fraud Detection | Python, EDA, XG Boost, Logistics Regression, Hadoop Sep 2024 - Present
Deployed ML models to detect fraudulent health insurance claims, resulting in a 20% reduction in fraudulent payouts
Improved accuracy by 85% by implementing EDA and anomaly detection techniques on insurance claim data
Evaluated results based on Precision, Recall, F1-Score, ROC Curve from large datasets handled through Hadoop clusters
Medical Image Classification | Python, CNN, Keras, TensorFlow, Flask May 2024 - Aug 2024
Developed CNN model using Keras to classify 3500+ medical images into categories such as healthy and diseased
Performed data cleaning by handling missing labels, removing outliers, balancing class distributions and verifying label accuracy
Achieved 90%+ accuracy and reduced diagnostic error rates by 15% to enhance model interpretability
Financial Performance Analysis | Python, Excel, Power BI, SQL, LSTM, Arima Jan 2024 Jun 2024
Developed a real-time financial analysis platform across business units using Excel, Power BI, and DAX
Performed ETL using SQL and Python and built ML models ensuring accuracy and consistency across financial systems
Conducted sensitivity and what-if analyses for risk management and strategic planning
Business Analysis and Consulting for Shopify Retail | Python, Clustering, UI path, Tableau Jan 2024 - Apr 2024
Implemented segmentation on 1000+ Customer Data based on demographics, purchase and feedback data
Identified customer patters and created personalized sales recommendations to increase cross-sales by 15%
Consulted E-commerce customers regularly to improve service quality, boosting customer satisfaction by 20%
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