🙎🏻♂️ About Me
Hi, I’m Shikhar. I hold a Master of Science in Business Analytics and Information Management from Purdue University and currently work as a Senior Data Scientist at Alliant Credit Union in Chicago, IL. I am a highly motivated individual with over 4 years of experience in data science, now evolving into an AI engineer, specializing in solving complex business problems using machine learning and statistics.
As an AI enthusiast, I build multiple AI solutions to tackle real-world challenges with quick turnarounds, resulting in increased revenues and optimized workflows. I engage daily with stakeholders and business owners to understand their needs, create innovative solutions, implement them end-to-end, and provide ongoing support. My strong communication skills and ability to collaborate effectively with cross-functional teams ensure the successful delivery of products and solutions. I am continually growing in my journey as a data scientist, expanding my expertise to encompass AI engineering.
📌 Skills
| Category | Skills |
|---|---|
| Programming | Python (Pandas, Spark, Numpy, TensorFlow, Keras, PyTorch, Scikit-learn), SQL, SAS Enterprise Miner, R, C++ |
| Certifications | AWS Cloud Practitioner, Tableau Desktop Specialist, Six Sigma Green Belt, AI / ML Specialist (Simplilearn) |
| Machine Learning & Analytics | AI, Large Language Models (LLM), Azure OpenAI GPT, Regression, Decision Trees, Random Forest, SVM, K-Means, CNN, ANN, LSTM, Time Series (ARIMA), Predictive Modeling, Deep Learning, Data Visualization, ETL |
| Databases / Big Data | Azure, AWS Redshift, Databricks, Snowflake, Google Cloud Platform (GCP), NoSQL |
| Organizational Skills | Project management, Analytical Problem Solving, Creative Thinking, Communication, Cross-functional Collaboration |
🏆 Professional Experience
Alliant Credit Union
Senior Data Scientist
June 2023 – Present | Chicago, IL
- AI Solution to Optimize Contact Center Inbound Calls:
- Collaborated with Alliant’s contact center to identify reasons for high call volumes using Generative AI. Developed a LangChain pipeline for topic and sentiment analysis from call recordings, utilizing Azure OpenAI and Synapse with few-shot learning for LLM grounding.
- Partnered with the Digital Products Team, conducting root cause analysis on call recordings to pinpoint actionable UI and operation changes for the website. Implemented changes to enhance customer experience, tracked impact on Power BI dashboard.
- Boosted Collection Strategy by $1.5M:
- Utilized XGBoost to segment delinquent auto loans by risk tiers, achieving 82% AUC. Collaborated with the collections team to boost high-risk cure rates by 18% through a model-based calling strategy, prioritizing and optimizing calls in the high-risk segment.
- Created a Tableau dashboard to track A/B testing results for treatment strategies, using delinquency roll rate as a KPI. Conducted two-proportion Z-tests to evaluate significance, achieving a $1.5M increase in value from high-risk tiers.
- Deploying Prediction Model for Dollar Attrition:
- Identified customers likely to withdraw savings from the bank by training a LightGBM model on customers’ credit history, credit bureau data, transaction trends, and other consumer banking data metrics.
- Orchestrated a successful marketing campaign targeting 85k high-value customers predicted by the model, and validated lift through A/B testing, resulting in a substantial $300M retention in deposits over a quarter.
Amway Corp.
Data Scientist
July 2022 – May 2023 | Remote
- Delivered an end-to-end data science solution predicting the success of new Amway franchises; developed a GCP pipeline processing 7 billion records, achieving a 78% F1 Score to identify franchises likely to collapse.
- Engaged in cross-functional collaboration with Amway business stakeholders within an agile project management framework. Gathered business requirements, reviewed solutions iteratively, and delivered high-impact projects impacting 32k Amway business franchises.
ZS Associates, Inc.
Decision Science Associate
January 2020 – June 2022 | Remote
- Customer Centric Marketing using Clustering Segmentation:
- Utilized PCA & k-means clustering to identify early, mid, & late adopters, optimizing marketing campaigns for a new pharmaceutical product. Assessed content effectiveness using control groups, achieving a 150% increase in click-through rates for tailored segments.
- Multi-touch Attribution Model to Track Marketing Activity:
- Developed a multi-touch attribution model using Google Analytics data for a leading medtech company, attributing conversions across various marketing channels.
- Established critical key performance indicators in Tableau to track marketing channel performance and facilitate informed data-driven decision-making for future campaigns.
- Predicting Customer Lifetime Value (CLV):
- Developed a regression-based CLV model, utilizing prescription, demographics, and marketing datasets. Applied advanced statistical techniques to predict long-term value, integrating variables such as product frequency, engagement metrics, and marketing response rates.
- Implemented the CLV model to identify and segment high-value HCPs, improving strategic resource allocation, resulting in a 15% increase in customer retention and an additional $20 million in annual revenue.
🎓 Education
Purdue University, Krannert School of Management
Master of Science in Business Analytics and Information Management - STEM
West Lafayette, IN | May 2023
- Relevant Courses: Statistics, Data Structures, Data Mining, Cloud Computing, Natural Language Processing, IT Project Management, Time Series Modeling
Vellore Institute of Technology (VIT)
Bachelor of Engineering / Technology
Vellore, India | June 2020
- Relevant Courses: Object Oriented Programming, Vector Calculus, Application of Differential Equations
📬 Connect with Me
Feel free to reach out through any of the platforms below: