Welcome to my GitHub portfolio! I am Nikhar Shah, a results-driven VP of Data Analytics with over 10 years of experience in data science, machine learning, and predictive analytics. My work focuses on solving complex business challenges, optimizing processes, and delivering actionable insights through innovative data-driven solutions.
- Current Role: Vice President, Data Analytics at LPL Financial
- Location: Washington DC-Baltimore Area
- Education:
- Master's in Data Science (ALM) - Harvard University
- Graduate Certificate in Data Science - Harvard Extension School
- Master's in Management Information Systems - University of Arizona
- Bachelor's in Computer Science - R.G.P.V, India
- Languages: English (Full Professional Proficiency)
I thrive at the intersection of business strategy and technical execution, leveraging data science to drive impactful decisions. I’ve worked across industries such as finance, automotive, and consumer goods, mentoring teams and delivering cutting-edge AI/ML solutions.
- Machine Learning: Supervised & Unsupervised Learning, Recommendation Systems, Time Series Forecasting
- NLP & Text Analytics: Large Language Models (LLMs), TF-IDF, PCA, LDA
- DevOps & Cloud: AWS Sagemaker, Snowflake, CI/CD Pipelines
- Visualization Tools: Tableau, Matplotlib
- Developed an internal chatbot (Lisa) using Llama 3.1, hosted securely within LPL Financial's firewall.
- Enabled employees to upload documents and ask questions about their content.
- Improved internal knowledge management and customer service efficiency.
- Technologies: Python, Amazon Bedrock, AWS S3
🔗 Repository Link (if applicable)
- Built an unsupervised learning model to analyze themes from call center transcripts.
- Processed over 2 million calls (4 billion words) using parallel processing in Python.
- Deployed across the USA and Canada for multiple business units.
- Technologies: Python (TF-IDF, PCA), LDA
🔗 Repository Link (if applicable)
- Created a pricing elasticity model that integrated own-product and competitor elasticity.
- Achieved $12 million annual savings by optimizing pricing strategies.
- Reduced runtime by 60% using optimized pipelines.
- Technologies: Python (Lasso Regression), SQL
🔗 Repository Link (if applicable)
- Daimler President's Excellence Award – Highest employee recognition at Mercedes-Benz Financial Services.
- Judge for the Data.org AI2AI Challenge 2024, evaluating over 50 data science projects.
- Deploying Scalable Machine Learning for Data Science
- Machine Learning & AI Foundations: Linear Regression
- Building a Recommendation System with Python Machine Learning & AI
- Deep Learning with TensorFlow
Feel free to connect with me or explore my work further:
- 📧 Email: nikhar1210@gmail.com
- 💼 LinkedIn: linkedin.com/in/nikharshah
I’m always open to collaboration opportunities or discussing how data science can solve real-world problems. Let’s connect! 🚀
Thank you for visiting my portfolio! Explore my repositories to see how I bring data to life through code. 😊