PORTFOLIO
Archana Suresh Patil
I design human-centered AI systems that merge emotional intelligence with machine intelligence—scaling empathy, cognition, and transformation through technology.
I design human-centered AI systems that merge emotional intelligence with machine intelligence—scaling empathy, cognition, and transformation through technology.
I believe the brain is the most powerful resource ever created and every human being carries it. My mission is to engineer systems that awaken that potential through a rare fusion of emotional intelligence and artificial intelligence. My journey began in engineering logic, systems, and structure. But I soon realized: it's not just code that changes the world, it's people.
At Potential Project, I advanced through three human-centric roles: As Assistant to the Country Director, I supported senior leadership in executive operations and program logistics. As a Client Operations Specialist, I helped deliver global leadership programs, supporting Fortune 500 clients...
.jpeg)
University of San Diego, California
Master's in Applied Data Science
Grade: 3.9
Courses: ADS 500A – Probability and Statistics for Data Science, ADS 502 – Applied Data Mining, ADS 503 – Applied Predictive Modeling...
.jpeg)
.jpeg)
University of Mumbai
Master's in Emotional Intelligence & Corporate Strategy
Grade: 3.76
Courses: Corporate Reputation, Brand Management and Public Relations...
Visvesvaraya Technological University
Bachelor of Engineering – Electrical, Electronics & Communication Engineering
C++, Python, JavaScript, SQL, R, OpenCL
Machine Learning, Deep Learning, NLP, Data Engineering, Data Mining, Text Mining, Computer Vision, Transformers, Large Language Models (LLM)
Git, Docker, Firebase, AWS (SageMaker, Lambda, S3, Redshift, Athena, Glue Crawler), Microsoft Azure Machine Learning, Microsoft SQL Server, Microsoft Power BI, Tableau, Adobe Creative Suite
Emotional Intelligence, Strategic Communication, Stakeholder Engagement, Client Operations Management, Corporate Relations, Executive Support, Program Evaluation & Impact Analytics
Developed a Streamlit-based LangChain chatbot analyzing 140+ Lex Fridman Podcast episodes using Whisper ASR, TF-IDF, Logistic Regression, and topic models (LDA, NMF, LSA). Integrated tools like PredictTopic, WikiSearch, and ListAllGuests to classify quotes, extract guest insights, and summarize key topics.
Developed a real-time credit card fraud detection system using CatBoost, achieving 86% recall by engineering temporal and geospatial features, balancing data with SMOTE, and preprocessing high-cardinality attributes.
Built an AWS SageMaker-based anomaly detection system using Autoencoders, Isolation Forest, and XGBoost to identify real-time DDoS attacks with a false positive rate under 5% and 90%+ detection accuracy across 13M+ network traffic records.
Developed an ETA prediction model for DoorDash deliveries using XGBoost, outperforming other models through feature engineering, outlier removal, and RandomizedSearchCV-based tuning on a dataset of 197,000+ records.
Developed an intelligent mental-health chatbot integrating multi-label emotion classification, contextual empathy generation, and crisis-risk detection. Trained models using GoEmotions, CounselChat, and EmpatheticDialogues; evaluated LogReg, SVM, and BERT. Built Streamlit interface with LLM inference and Tavily search tools for scalable support.
Developed FinEngine ML, a machine learning-powered platform that predicts ROI by integrating real-time stock data (Yahoo Finance) with consumer sentiment (Consumer Complaint Database), achieving R² = 1.00 using Ridge and Gradient Boosting models.
Designed and deployed an end-to-end ETL pipeline for NASA's Astronomy Picture of the Day (APOD) using Apache Airflow, PostgreSQL, and Python to automate daily extraction, transformation, and storage.
Built a diabetes prediction model using Random Forest, achieving 74% accuracy and 0.83 ROC-AUC after applying SMOTE, PCA, and feature engineering on clinical data from 768 patients. Evaluated CART, Naive Bayes, and C5.0 to support early medical intervention.
Click to View
LangChain
Aug 2025
Credential ID: opfz1dqxm8
Click to View
Udemy
Apr 2025
Click to View
Udemy
Mar 2025
Click to View
NVIDIA
Feb 2024
Credential ID: pF329a7-SwSyOeTLS-WONQ
Click to View
NVIDIA
Feb 2024
Click to View
Coursera
May 2023
Click to View
University of Mumbai
Click to View
University of Mumbai
.jpg)
Click to View
Neuromatch
Graduate Student · Full-time
Sep 2023 – Sep 2025
3 yrs 1 mo
Mar 2023 – Jun 2023
Jun 2021 – Jun 2023
Jun 2020 – Jun 2021
Corporate Relations Intern · Internship
Jun 2019 – Dec 2019
IT Department · Volunteer
Mar 2019 – Jul 2020
University of Mumbai · Jun 2019
Led a team of six members, responsible for achieving group goals, organizing group work, managing relationships, and coordinating teamwork activities. Demonstrated adaptability and situational leadership.
University of Mumbai · Sep 2018
Managed the institution's website, led a group of three Audio-Visual (AV) leaders, provided weekly reports to the Student President, and managed conference and seminar events on campus.
IIIT Darwad · Apr 2016
Secured 2nd prize in the IoT Contest conducted by IIIT Darwad.