MS Business Analytics '25 | Data Analyst | Business Analyst | Consultant
Data-driven professional with expertise in Analytics, AI/ML, Salesforce solutions, and Strategic Consulting. Passionate about leveraging advanced analytics, deep learning, Python, SQL, and Tableau to transform complex challenges into impactful business outcomes through cutting-edge machine learning solutions.
Currently pursuing an MS in Business Analytics at Simon Business School, University of Rochester (expected December 2025). I bring deep expertise gained from leading impactful projects at Accenture that benefited millions of customers, combined with advanced coursework in machine learning, AI & deep learning, and predictive analytics.
My experience spans data analytics, Salesforce development (7x certified), and strategic consulting. Through my graduate program, I've developed hands-on expertise in building machine learning solutions using TensorFlow and PyTorch, including CNNs for computer vision and Transformers for NLP. I leverage Python, R, SQL, and visualization tools like Tableau and Power BI to uncover insights and drive data-informed decision-making across business and technical domains.
Beyond work, I enjoy reading thought-provoking books, listening to podcasts, playing chess, and training in Taekwondo where I hold a black belt. I'm also passionate about cars and automotive design.
Led complete CRM migration from CRMNext to Salesforce for one of India's largest private banks, impacting millions of customers and thousands of employees.
Built an ML-powered credit decisioning system that automates HELOC application assessment with advanced feature engineering, achieving 94.06% precision and 99.40% specificity using XGBoost and Azure AutoML.
Comprehensive supply chain analysis for USC Builds construction company, analyzing $33+ million in procurement spend across 11,000+ purchase orders to identify cost-saving opportunities.
Built and trained a CNN-based image classification model using TensorFlow and Keras on the CelebA dataset with advanced regularization and optimization techniques.
Developed a binary facial expression classifier to detect smiles from aligned face images using convolutional neural networks.
Evaluated training effectiveness across 11 courses, analyzing proficiency improvements across 13 regional centers using Python and R statistical analysis.
Built an end-to-end English-to-Spanish neural machine translation system, comparing GRU-based seq2seq and Transformer architectures on 50K+ sentence pairs.
Developed optimized strategies and operational efficiency improvements for a residential apartment rental business, enhancing brand identity and revenue forecasting.
Strategic planning and community needs assessment for an NGO serving the Chelsea neighborhood in New York City, analyzing community feedback and service delivery gaps.
I'm currently seeking opportunities as a Data Analyst, Business Analyst, or Consultant. Let's connect and explore how I can contribute to your organization!