As a Senior Data Analyst Co-op at State Street with over 3 years of experience in data engineering and analytics, I specialize in building and optimizing big data pipelines, developing data models, and generating actionable insights that drive impactful decisions in the financial services industry. My expertise spans data integration, pipeline automation, and data visualization, developed through my prior role as a Data Engineer at LTIMindtree and my current position at State Street.I hold a Master of Science in Information Systems from Northeastern University, which has enriched my knowledge in advanced data management and analytics. With a solid foundation in Computer Engineering and certifications like the Databricks Certified Associate Developer for Apache Spark 3.0, I am proficient in Spark, SQL, and data warehousing.Key Skills:Data Engineering: Built and optimized ETL pipelines, leveraging SQL and Python for efficient data handling and transformation.Business Intelligence: Created interactive dashboards using Tableau, Power BI, and Qlik Sense, translating complex data into valuable insights for stakeholders.Cloud and Big Data: Proficient with AWS services, database management, and handling high-volume data across cloud environments.Driven by a passion for problem-solving, I’m excited to apply my technical acumen and strategic insights to support data-driven innovation in any organization.
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Senior Data Analyst Co-OpState Street Jul 2023 - Dec 2023Boston, Massachusetts, United States• Efficiently transitioned over 40 stored procedures in SQL Server, automating data extraction and populating post-trade compliancedata into development environments, ensuring accurate data representation in the client-facing interface• Crafted a utility script using SQL to differentiate version changes in production releases, streamlining rollbacks, tracking errors,reducing production failures, and cutting error resolution time by 25%, bolstering bug-fixing efficiency• Conducted data quality checks using Oracle SQL Developer and CRD, identifying 40% of load errors during extract runs• Piloted scrum meetings, gathered requirements and used JIRA to streamline workflows for efficient release management• Implemented Tableau and Power BI dashboards, improving pricing compliance by 35% and enhancing stakeholder transparency -
Application ProcessorNortheastern University Jan 2023 - Jul 2023Boston, Massachusetts, United States• Accomplished data-integrity review of 500+ applications, increasing productivity by 30%• Ensured efficient application review by identifying and resolving applicant errors, following established rules• Facilitated GPA recalculation and transfer credit evaluation, improving admissions efficiency -
Data EngineerLti - Larsen & Toubro Infotech Aug 2020 - Aug 2022Mumbai, Maharashtra, India• Accomplished end-to-end processing of data for report generation by developing Ab Initio graphs and plans• Ensured seamless delivery of project milestones by tracking requirements through JIRA• Streamlined report deployment process by utilizing Bitbucket, Jenkins, and Release Lifecycle Management to migrateand deploy report transformation logics from development to UAT environment• Spearheaded HIVE and Java Spark data acquisition project, achieving 90% workload reduction and enhanced efficiency• Developed and optimized SQL scripts for data cleansing and transformation; reduced pipeline processing time by 40%• Optimized client reporting and reduced workload by 50% by developing report logic based on requirements for theinternal tool, Rules Harmony, which simplified complex data filters and transformations -
Project TraineeBhabha Atomic Research Centre Jul 2019 - Mar 2020Mumbai, Maharashtra, India• Achieved 90% accuracy in Palm vein recognition with the threshold of 80 unique features operating image feature extraction and recognition techniques like brute-force matcher and Flann-based matcher• Designed and implemented a MySQL database to store and manage user information, hand image data, and verificationresults, enabling efficient retrieval and management of large datasets for training and validation purposes• Engineered a 98% accurate hand image-based biometric verification ML model using Python and TensorFlow• Applied Image preprocessing techniques such as normalization, resizing, and cropping to improve the performance• Collaborated with experts in computer vision, image processing, and biometrics to create a user-friendly interface• Utilized OpenCV toolkit for comparing accuracy and efficiency of SIFT, SURF, ORB, KAZE, and AKAZE in recognizing unique hand features
Aakash Bhatt Skills
Aakash Bhatt Education Details
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Computer Engineering
Frequently Asked Questions about Aakash Bhatt
What is Aakash Bhatt's role at the current company?
Aakash Bhatt's current role is Open to Data Analyst & Data Engineer Opportunities | MS in Information Systems | Senior Data Analyst Co-op at State Street | Experienced Data Engineer at LTIMindtree(CITI) | Data Science Enthusiast & Problem Solver.
What schools did Aakash Bhatt attend?
Aakash Bhatt attended Northeastern University, Shah And Anchor Kutchhi Engineering College.
What skills is Aakash Bhatt known for?
Aakash Bhatt has skills like Core Java, Salesforce Lightning, Pandas, Amazon Web Services, Ccnp, Ab Initio, Networking, Data Validation, Jira, Image Analysis, Web Development, Apache Kafka.
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Aakash Bhatt
Dallas-Fort Worth Metroplex4yahoo.com, ey.com, discover.com, fidelity.com5 +184731XXXXX
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Aakash Bhatt
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Aakash Bhatt
Operations Research, Optimization & Simulation Expert | Research Scientist @ ChewyReno, Nv3dematic.com, volvo.com, chewy.com
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