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Click here or scroll down to respond to this candidateCandidate's Name
New York City, NY EMAIL AVAILABLE PHONE NUMBER AVAILABLE LinkedInSUMMARYAs a data engineer with over three years of experience, Specializes in designing big data solutions using Hadoop, Spark, AWS, and Azure, with a focus on building strong data models, improving ETL workflows, and creating SQL-based data pipelines for both batch and real-time processing. Manages complex migrations to AWS and handles tools like EC2, S3, EMR, and Redshift to enhance infrastructure efficiency. WORK EXPERIENCEStevens Institute of Technology Hoboken, NJ, USAData Science Developer (Real-time project) Sep 2023 - Dec 2023 Pioneered the development and launch of a robust sprint dashboard utilizing Power BI, harmoniously synced with JIRA for streamlined project tracking and quarterly performance analytics, resulting in a substantial 30% enhancement in team productivity Led the management and optimization of end-to-end data pipelines and ETL workflows, achieving a 20% decrease in data processing times by streamlining operations to support business analytics Collaborated with interdisciplinary teams to develop and refine data models and schema architectures, improving data storage and access efficiency and reducing query response times by 25% Engineered a comprehensive data integration strategy, merging diverse datasets to uncover innovative solutions for complex business challenges, achieving a 15% reduction in operational costs and a 20% improvement in decision-making accuracy Asiaa Data Private Limited Bangalore, KarnatakaData Engineer Feb 2019 - May 2022 Designed and implemented a state-of-the-art data warehouse architecture on AWS RDS, leading to a 30% increase in data processing efficiency and providing robust support for intricate data analysis in the eCommerce industry Implemented Python scripts to automate data cleansing and transformation processes, reducing manual manipulation time by 15 hours per week and speeding up reporting and decision-making by 40% Enhanced data visualization and efficiency by leading Power BI report development using DAX and streamlining summarization with Excel Power Query and Pivot Tables, boosting report generation speed by 25% Organised database performance by optimizing SQL queries, incorporating materialized views and indexes, and achieving a 40% reduction in query execution time Crafted and deployed innovative solutions for processing high volumes of customer transaction data, utilizing APIs for efficient data extraction in Python and optimizing ETL processes to cut data handling time by 40% PROJECT EXPERIENCEPlant Species Identification via Drones Jan 2024 - May 2024 Developed and launched an innovative machine learning model using TensorFlow and OpenCV to categorize plant species from drone images, boosting conservation efforts and enabling remote exploration, which enhanced conservation efficiency by 25% Spearheaded the creation and management of a complex dataset, involving the collection, labelling, and processing of over 50,000 images, demonstrating advanced skills in data handling and preprocessing Achieved up to 97% accuracy in species identification, optimizing data processing workflows and model efficiency for large-scale environmental monitoring Guided the integration of state-of-the-art data-driven solutions into plant recognition methodologies, utilizing advanced colour and texture analysis for unmatched accuracy; enabled ongoing enhancements and refinements in the arena of plant identification Diabetes Classification Jan 2023 - Apr 2023 Designed a diabetes classification system analyzing a 70,692-entry dataset with Decision Trees, SVM, Random Forest, and ANN, enhancing accuracy through strategic data scaling Achieved a 97% peak accuracy in diabetes detection with a fine-tuned Artificial Neural Network Led the creation of advanced predictive models with Python, TensorFlow, and Scikit-learn, improving early diabetes detection by 35% and enhancing patient care outcomes Orchestrated the integration of AI tools into medical diagnostics, reducing diagnostic errors by 40% and enhancing treatment accuracy for patients in critical conditionEDUCATIONStevens Institute of Technology Hoboken, NJ, USAMaster of Science in Computer Science Sep 2022 - May 2024 SKILLSLanguages: Python, R, SQL, Core Java, C++, JavaScript, HTML, CSS, Advanced Algorithms Data Visualization: Tableau, Matplotlib, Seaborn, Power BI Machine Learning: TensorFlow, Linear models, Deep Learning, Scikit-learn, Keras, Pandas, NumPy, SciPy Data Engineering: AWS RDS, AWS S3, Microsoft Excel, Airflow, SSIS, ETL, Azure DevOps, Redshift, MS SQL Server Data Stack, Pyspark Big Data Tools: Apache Spark, Snowflake, Databricks, AWS EMR, and DBT Other Skills: Data modelling, Data warehousing, Healthcare Analytics, Data Mining, KPI metrics management, Population health metrics and value-based care dashboards, PowerShell, JIRA, Confluence, SDLC. |
