Power Bi Business Intelligence

RISHABH SHARMA

Philadelphia, PA ***** +1-445-***-**** *******.**********@*****.*** Portfolio Linkedin EDUCATION

Drexel University, College of Computing and Informatics, Philadelphia, PA June 2024 Master of Science in Data Science GPA: 3.87

Rajiv Gandhi Proudhyogik Vishwavidhyalaya, Bhopal, India June 2022 Bachelor of Technology in Computer Science and Engineering GPA: 3.76 CERTIFICATIONS

DEA-C01: AWS Certified Data Engineer Associate. Credentials SKILLS

Languages & Tools: Python, R, SQL, SAS, MATLAB

Data 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, Tableau

Miscellaneous: GitHub, Docker, Kubernetes, Agile Methodologies (Scrum, Kanban), Waterfall Methodology, Bash/Shell Scripting PROFESSIONAL EXPERIENCE

Dark 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 2022

Data 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 2022

Data 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 delivery

ACHIEVEMENTS

● 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

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