Aishwarya Bhanage

Hi! I'm Aishwarya 👋

A passionate Data Scientist specializing in machine learning, data visualization, and predictive analytics. I transform complex datasets into actionable insights that drive business growth.

🔹 3+ years in data science & analytics
🔹 Expert in Python, R, SQL, and cloud platforms
🔹 Certified Tableau Desktop Specialist
🔹 Passionate about AI/ML innovation
View My Projects Download Resume
Aishwarya Bhanage - Data Scientist

About Me

Transforming data into insights, insights into action

With 3+ years of experience in data science and analytics, I've specialized in predictive modeling, anomaly detection, and large-scale data processing. My journey began with a Bachelor's in Computer Engineering from Sinhgad Institute of Technology and Science, followed by my current pursuit of a Master's in Data Science at Stony Brook University, where I'm developing expertise in advanced machine learning and statistical analysis.

At Accenture Solutions, I engineered predictive anomaly detection models using XGBoost and logistic regression, achieving 95% accuracy while monitoring 1M+ daily banking transactions and reducing false positives by 40%. I've optimized ETL data pipelines using PySpark and MySQL, improving processing speed by 40% and enabling real-time analytics for massive datasets.

I've built interactive machine learning dashboards using Tableau and Power BI, reducing executive reporting time by 30% and enabling data-driven decision making. My expertise spans Python, R, SQL, and cloud platforms, with particular strength in predictive modeling, NLP, and statistical analysis. I've led cross-functional teams of 4 engineers, delivering 25% more features per sprint while reducing project delays by 20%.

Currently pursuing my Master's in Data Science, I'm actively working on cutting-edge projects including a mythology-based story generator using RAG systems, AI-powered summarization tools, and crime trend analysis. I'm passionate about leveraging data to solve real-world problems and making complex analytical insights accessible to stakeholders.

Quick Stats

3+ Years Experience
3000+ KPI Created & Monitored
40+ Dashboards Created & Monitored
1M+ Data Points Analyzed Daily
Python, R, SQL Expert

Professional Experience

My journey in data science and analytics across diverse roles and responsibilities

Leadership Experience

Graduate Student Organization Treasurer

Stony Brook University
Stony Brook, NY May 2025 - Present
  • Facilitate budget meeting discussions, provide executive-level finance reports, and manage 5 reimbursement lines while ensuring the Graduate Student Organization's transparent and compliant financial operations per available funding for more than 8000 students.

Professional Experience

Packaged App Development Analyst

Accenture Solutions Pvt Ltd
Pune, MH Jun 2022 - Oct 2023
  • Engineered predictive anomaly detection models using XGBoost and logistic regression in Python to identify fraudulent banking transactions, achieving 95% accuracy rate while monitoring 1M+ daily records and reducing false positives by 40%.
  • Optimized ETL data pipelines using PySpark and MySQL to process banking transaction data, improving processing speed by 40% and enabling real-time analytics for 1M+ daily transactions.
  • Analyzed user behavior patterns on Android / iOS platforms using statistical analysis and Python libraries (Pandas, NumPy) to identify performance bottlenecks, resulting in 25% improvement in user journey completion rates.
  • Built interactive machine learning dashboards using Tableau and Power BI to visualize model performance metrics and KPIs, reducing executive reporting time by 30% and enabling data-driven decision making for stakeholders.

Associate Software Engineer

Accenture Solutions Pvt Ltd
Pune, MH Dec 2020 - May 2022
  • Led a cross-functional analytics team of 4 engineers to resolve critical data processing bottlenecks using Agile methodologies, delivering 25% more features per sprint and reducing project delays by 20%.
  • Developed data processing pipelines using SQL and Apache Spark to handle large-scale datasets, cutting processing time by 40% and enabling efficient A/B testing for product deployments.
  • Created hash-based customer lookup algorithm using Python to optimize data retrieval from banking databases, improving query response time by 35% and supporting real-time customer service operations.
  • Designed data preprocessing workflows using Python and Excel VBA to automate data cleaning processes, reducing manual processing time by 50% and improving data accuracy for downstream analytics.

Education

Academic foundation and continuous learning in data science and technology

Master of Science in Data Science

Stony Brook University

Stony Brook, NY

2024 - Present

Currently pursuing advanced studies in machine learning, statistical analysis, and data science methodologies. Focus on cutting-edge AI/ML technologies and research applications.

Bachelor of Engineering in Computer Engineering

Sinhgad Institute of Technology and Science

Pune, Maharashtra

2016 - 2020

Comprehensive foundation in computer science, software engineering, and data structures. Developed strong analytical and problem-solving skills through hands-on projects and coursework.

Projects Portfolio

A showcase of diverse data science projects and solutions

Fraud Detection System

Engineered predictive anomaly detection models using XGBoost and logistic regression, achieving 95% accuracy while monitoring 1M+ daily banking transactions and reducing false positives by 40%.

Python XGBoost PySpark MySQL
View Project GitHub

Mythology Story Generator

Built end-to-end RAG system using Falcon-7B model and E5-base embeddings, processing 5M+ tokens from historical texts and achieving 93% precision rate with only 3% hallucination.

Python PyTorch NLTK Hugging Face
View Project GitHub

SummarIQ - Smart Summarization

Developed AI-powered summarization system using Whisper and GPT-4 models integrated with Zoom API, automating session analysis and reducing manual summary time by 80%.

Python GPT-4 Whisper MySQL
View Project GitHub

Crime Trend Analysis

Engineered crime prediction model using Random Forest and PCA in R, achieving 0.81 AUC and providing actionable insights for resource allocation decisions with 85% accuracy in high-risk area identification.

R Random Forest Leaflet ggplot2
View Project GitHub

ML Dashboard & Analytics

Built interactive machine learning dashboards using Tableau and Power BI, reducing executive reporting time by 30% and enabling data-driven decision making for stakeholders.

Tableau Power BI Python SQL
View Project GitHub

User Behavior Analytics

Analyzed user behavior patterns on Android/iOS platforms using statistical analysis and Python libraries, resulting in 25% improvement in user journey completion rates.

Python Pandas NumPy Statistical Analysis
View Project GitHub

Let's Work Together

Ready to turn your data into actionable insights?

Get in Touch

I'm always excited to discuss new projects and opportunities. Whether you need help with a specific analysis, want to build a data science team, or are looking for strategic guidance, I'm here to help.

aishwaryamahad.bhanage@stonybrook.edu
+1 (934) 246-0445
Stony Brook, New York
Available for consulting projects

Send a Message