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Click here or scroll down to respond to this candidateCandidate's Name
Philadelphia, PA Street Address PHONE NUMBER AVAILABLE EMAIL AVAILABLE Portfolio Linkedin EDUCATIONDrexel University, College of Computing and Informatics, Philadelphia, PA June Street Address Master of Science in Data Science GPA: 3.87Rajiv Gandhi Proudhyogik Vishwavidhyalaya, Bhopal, India June Street Address Bachelor of Technology in Computer Science and Engineering GPA: 3.76 CERTIFICATIONSDEA-C01: AWS Certified Data Engineer Associate. Credentials SKILLSLanguages & Tools: Python, R, SQL, SAS, MATLABData Engineering: AWS, GCP, Azure, Databricks, Apache Hadoop, Sparks, Apache Kafka, ETL(Informatica, Talend, AWS Glue) Databases: Oracle SQL(Ad-hoc SQL Queries), MySQL, PostgreSQL, AWS RedShift, BigQuery, Snowflake Machine Learning: Linear Regression, Logistic Regression, Decision Trees, Random Forests, GBM, SVM, K-Means Clustering, Hierarchical Clustering, Principal Component Analysis (PCA), ARIMA, SARIMA, Deep Learning(CNN, RNN, LSTM) Data Analytics Tools: Power BI, TableauMiscellaneous: GitHub, Docker, Kubernetes, Agile Methodologies (Scrum, Kanban), Waterfall Methodology, Bash/Shell Scripting PROFESSIONAL EXPERIENCEDark Matter Technologies, Jacksonville, Florida Jul 2022 - Dec 2023 Data Scientist Engineered and deployed an advanced computer vision system for financial document processing, achieving 95% accuracy in automated data extraction from invoices, receipts, and statements Spearheaded the design and implementation of a high-throughput data pipeline, accelerating data accessibility and enhancing real-time financial reporting capabilities by 60% Designed Bayesian A/B testing framework, enabling accurate early stopping decisions, cutting test duration by 30% Reduced data retrieval time by 30% via strategic ad-hoc SQL queries on sensitive data, ensuring compliance and operational efficiency Digital Pass, Indore, India Jun 2021 - Jun 2022Data Scientist Led a team of 5 data analysts in creating a predictive maintenance system for manufacturing equipment, reducing unplanned downtime by 30% and saving the company $2M annually Designed and executed A/B tests for website optimization, increasing conversion rates by 18% and driving $500K in additional revenue Utilized natural language processing techniques to analyze customer feedback, identifying key areas for product improvement and contributing to a 12% increase in customer satisfaction scores Created real-time data pipeline with Apache Kafka and Spark, cutting processing time from hours to minutes for faster decision-making Developed and implemented machine learning models that improved customer segmentation accuracy by 25%, resulting in a 15% increase in targeted marketing campaign effectiveness SK Enterprises Bhopal, India Nov 2020 - Jun 2022Data Scientist Applied R and SAS for advanced statistical analysis and predictive modeling, achieving a 15% increase in sales forecasting accuracy and saving $2 million through optimized inventory management Implemented a graph-based fraud detection system for a financial institution, identifying complex fraud patterns and reducing fraudulent transactions by 60% Created Power BI dashboards to monitor KPIs, enabling real-time decision-making and boosting operational efficiency by 17% Engineered real-time data pipelines with Kafka, and Spark boosting data ingestion efficiency by 30% and reducing latency by 20% PROJECTS (GitHub)Predictive Modeling of Loan Repayment Capabilities: Home Credit (Github) Engineered features and implemented an XGBoost classifier with 89% accuracy, enhancing financial inclusion Conducted EDA on multi-source data to identify key predictors of loan repayment, improving loan approval decisions Enhancing Consumer Insights through Family Size Prediction Model and Customer Segmentation (Github) Developed Bidirectional RNN model for family size prediction, achieving 97.29% test accuracy and 0.0945 test loss enhancing the targeted marketing effectiveness and product development strategies Implemented RNN models for customer segmentation, achieving 97.74% accuracy, leading to improved operational efficiency and personalized service deliveryACHIEVEMENTS Won Philadelphia Social Justice Hackathon: Predicted Sentencing with Docket Data for all cases ETHIndia Hackathon: Dual Winner with EIP-4337, a next-gen smart contract wallet |
