Services
Video meeting . 15 mins
About me
🎯 MASTER’S IN DATA SCIENCE | 2025
📍 United States | Open to Remote / Hybrid
🚀 CURRENT IMPACT — CIGNA HEALTHCARE
(What I built → How → Business impact)
🔍 Enterprise RAG Assistant (LangChain + Pinecone)
→ Reduced internal document search time by 60%
📈 Customer Lifetime Value Modeling (XGBoost / LightGBM)
→ Improved marketing efficiency by 15% through targeted campaigns
⚙️ ML Deployment Platform (Docker + Kubernetes + AWS SageMaker)
→ Cut production release cycle from 4 weeks → 5 days
🧪 Website Personalization (Multi-Armed Bandits)
→ Achieved 8% conversion uplift
⚡ Apache Spark Optimization (10TB+ datasets)
→ Reduced ETL latency by 40%
⚖️ Explainable & Fair AI (SHAP / LIME)
→ Ensured 100% fair-lending compliance in credit models
🤖 AutoML & GenAI Enablement
→ Automated 40% of data cleaning workflows
📊 Executive Dashboards (Power BI / Tableau)
→ Integrated model metrics with business KPIs
🔥 SIGNATURE STRENGTHS
🧠 Production ML, GenAI & RAG Systems
🏥 Healthcare & FinTech domain expertise
📊 Business-first modeling (CLV, Causal ML, Experimentation)
☁️ Multi-cloud delivery (AWS | Azure | GCP)
🧰 TECH STACK SNAPSHOT
Languages
Python | SQL | R | Scala | Java | SAS
Machine Learning & AI
XGBoost | LightGBM | Neural Networks | LSTM | CNN | Decision Trees | SVM | K-Means
GenAI / LLMs
LangChain | RAG Systems | Prompt Engineering | BERT | Vision Transformers
Cloud Platforms
AWS (SageMaker, EC2, S3, Glue) | Azure (Data Factory, Databricks, Synapse) | GCP (BigQuery)
Data Engineering & MLOps
Apache Spark | Airflow | Docker | Kubernetes | Git | Jenkins
Databases
PostgreSQL | MySQL | SQL Server | Oracle | MongoDB | Snowflake | BigQuery
BI & Tools
Tableau | Power BI | Jupyter | Google Colab | PyCharm
💼 PREVIOUS EXPERIENCE
DMI Financial | Data Scientist (2020–2023)
*Built and deployed,classification models(Logistic Regression, Random Forest, SVM) for credit risk and campaign targeting
* Designed and analyzed A/B experiments to improve marketing performance
* Developed Power BI dashboards for executive decision-making
* Automated ETL pipelines using Azure Data Factory
🔗 OPEN TO OPPORTUNITIES
Data Scientist | Senior Data Scientist | ML Engineer | GenAI Engineer | Cloud Data Engineer
✅ Remote-friendly US roles
✅ Healthcare & FinTech focus
📩 Open to conversations on production ML, GenAI, and measurable business impact