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Click here or scroll down to respond to this candidateCandidate's Name
EMAIL AVAILABLE PHONE NUMBER AVAILABLE Linkedin Boston, MA Street Address
SUMMARYDriven Data Professional skilled in ETL, data integration, and analytics with expertise in Python, SQL, Tableau, and Alteryx. Experienced in building scalable data pipelines and leveraging Machine Learning to generate actionable insights. EDUCATIONMaster of Science in Information Systems Northeastern University, USA Expected May. 2025 Relevant Courses: Big Data and Intelligent Analytics, Data Architecture & Business Intelligence, Data Science Methods & Tools Bachelor of Technology in Information Technology University of Mumbai, India Jun. 2021 Relevant Courses: Data Mining and Business Intelligence, Database Management, Cloud Computing Services. SKILLSDatabases & Cloud : Snowflake, MongoDB, DynamoDBLanguages : Python, R, SQL, Pro*CLibraries : BeautifulSoup, FastAPI, Pydantic, Presidio, Matplotlib, Seaborn, Numpy, Pandas, Scikit-Learn, SQL-Alchemy Machine Learning : Regression, Classification, Clustering, Forecasting, PCA, Tensorflow, NLP, Deep Learning Analytical Toolkit : Tableau, PowerBI, Google Data Studio, Excel Tools : Airflow, Streamlit, AWS, Apache Spark, Docker, Kubernetes EXPERIENCEBusiness Intelligence Analyst Ingram Micro, Mumbai, India Jun. 2021 Sep. 2022Designed, developed, and tested data pipelines and ETL processes based on complex business requirements, optimizing workflows, automating tasks, and improving error-handling, resulting in a 30% improvement in data quality and greater dataset integrity.Enhanced operational efficiency by automating data processing workflows and streamlining existing systems using Python scripts, increasing customer satisfaction by ensuring data integrity and reducing delivery times.Automated and optimized data collection processes with Airflow and SQL, achieving a 35% improvement in system response time and significantly enhancing overall system efficiency.Utilized Docker for containerization, ensuring consistent development environments and streamlining the deployment process. Associate Software Developer ICICI Securities, Mumbai, India Oct. 2022 Aug. 2023Spearheaded DR and Mock Activities to ensure seamless NSE BSE Connectivity Checks. Demonstrated exceptional proficiency in addressing live issues during market hours ensuring the efficient functioning of critical systems.Developed and maintained Tableau reports, reducing weekly manual workloads by 8 hours and enhancing stakeholder satisfaction.Automated data extraction and cleaning processes by developing Python scripts, significantly reducing manual workload.Developed backend infrastructure utilizing Pro*C, Snowflake, SQL, and COBOL ensuring delivery of critical engineering projects PROJECTSNewsScope FastAPI, Scrapy, Apache Kafka,Apache Spark, Pinecone, Streamlit, Docker, GCP, Tableau Apr. 2024Developed NewsScope, an industry-specific news aggregator, using Python (BeautifulSoup & Scrapy) for web scraping, Snowflake for data management, and DBT for data transformation.Maintained a robust data schema, performing rigorous data validations (Pydantic 2 & Pytest) to guarantee high-quality data. Applied data transformations with DBT, ensuring data consistency and usability.Built a user-friendly interface with Streamlit and automated ETL pipelines with Apache Airflow, successfully deploying the platform on GCP and managing the project with Docker and Git for version control and collaboration. Food Supply Chain Analysis Tableau, SQL, Excel Sep. 2023Analyzed 30+ datasets to find food wastage at each milestone(farm to consumer) of global food supply chain to understand food wastageCreated 3 Tableau dashboards for visual representation of results attained by intricate analysis done on data.Evaluated results to compute food scarcity by 2050 and designed ways to reduce carbon footprint by 10%. HR Analytics Python, SQL, PowerBI, Excel Aug. 2023Created an HR analytics dashboard for visualizing and analyzing employee performance and HR metrics.Cleaned and prepared data in Microsoft Excel to ensure accuracy and consistency.Designed and created interactive Power BI dashboards with advanced DAX calculations to represent key HR metrics such as employee turnover, performance, and engagement.Automated Data Refresh and documented the entire process, including data flow diagrams, transformation steps, and user guides. Drug Review Analysis for Patient Condition Diagnosis NLP, Machine Learning, Statistics, Flask Jul. 2023Designed an NLP tool for patient condition classification from drug reviews, implementing data cleaning, lemmatization, and stemming, and visualized sentiment distribution with pie charts.Utilized machine learning algorithms to train and test models for classifying patient conditions based on drug reviews, achieving high accuracy and reliability.Developed a searchable UI interface using Flask to look for reviews and display results with the most accurate reviews. |
