Versatile Tech Professional with a background in Software Development, Data Engineering, and Data Science. My professional journey has spanned multiple roles, from developing scalable software to implementing data-driven insights. During a 14-month internship at Buckman, I wore multiple hats as a Software Developer, Data Analyst, Data Engineer, and QA, applying a broad skill set to drive impactful solutions. I am currently pursuing a Master’s in Computer Science at the University of Texas at Arlington, further enhancing my expertise in Machine Learning, Big Data, and Software Development.Some career highlights include:✅ Software Developer Intern at Buckman- Worked as a Software Developer, Data Analyst, Data Engineer, and QA, optimizing application performance, developing user-friendly interfaces for IoT devices, and building automated data pipelines to streamline processes.- Conducted data analyses that improved data accuracy and supported key decision-making processes, and ensured high-quality code by achieving 90% test coverage.- Awarded the Gem Award for leading the winning team at a leadership conference, where we developed a user manual to integrate IoT devices for monitoring chemical standards, significantly improving process efficiency.✅ Math Tutor at UTA- Facilitated students' understanding of complex topics in Calculus and Statistics, contributing to improved academic performance. Worked closely with faculty to align tutoring strategies, creating a cohesive and supportive learning environment.✅ Software Developer Intern at Cholamandalam Investment and Finance Company Ltd- Developed an OCR engine with CNN and RNN models, integrated SpaCy for data extraction, and optimized the KYC process, improving accuracy by 70% and accelerating customer verification.✅ Data Analyst Intern at St. Louis University- Analyzed ad campaign data to identify costly campaigns for termination, saving $2,400 monthly, and visualized KPIs in Tableau dashboards to support data-driven marketing decisions.Certified in AWS, and proficient in Python, SQL, and Machine Learning, I am passionate about transforming data into actionable insights and building robust solutions that drive impact. Currently, I’m exploring advancements in AI, cloud technologies, and big data.Outside of work, I’m an outdoor enthusiast who enjoys 🏃♂️ running, 🏊♀️ swimming, 🥾 hiking, finding inspiration and balance in 🌿 nature.Let’s connect—I’d love to discuss how my background and skills can bring value to your team! 😊
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Data EngineerCointrends.AiTexas, United States
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Graduate Student Assistant - Math TutorThe University Of Texas At Arlington Sep 2024 - PresentArlington, Texas, United States• Spearheaded tutoring sessions in Calculus and Statistics, guiding students through complex mathematical concepts and fostering a deeper understanding, which led to improved exam and quiz scores.• Crafted and executed personalized study aids and tutoring sessions for a diverse group of students, enhancing engagement and empowering them to build confidence in challenging topics.• Collaborated with faculty members to align tutoring methods with curriculum objectives, contributing to an effective and cohesive educational experience for all students. -
Software Engineer InternBuckman Aug 2023 - Jul 2024Arlington, Texas, United States• Collaborated to develop a Generative AI copilot for internal chatbots with Azure OpenAI.• Investigated and resolved numerical inaccuracies in data sent through IoT by refactoring the front-end codebase and developing reusable, modular functions using JavaScript and React.js, improving the application's reliability and performance by 10%.• Built automated data pipeline with Azure Data Factory and PowerBI to visualize key performance indicators on API, achieving a 90% reduction in manual telemetry analysis and empowering stakeholders to make data-driven decisions.• Designed data migration workflows using R, SQL, and AWS Lambda, ensuring 80% data consistency during the transition from legacy to production systems.• Conducted exploratory data analysis and applied statistical techniques such as outlier detection and data validation on regional budget reports, identifying and eliminating 95% of fat finger errors.• Implemented an automated pipeline using Python, SQL, and Apache Airflow to capture and process keyword trends, integrating insights into a PowerBI dashboard that improved bug prioritization, and optimized root cause analysis.• Minimized user acceptance testing bugs by 70% by contributing to test script developments.• Served as an SDET across three consecutive releases, delivering high-quality software by implementing comprehensive unit, integration, and regression testing strategies.• Designed and developed dashboards on Azure DevOps integrated with Power BI to track ticket progress across code environments, enabling enhanced project management and streamlined decision-making for product managers globally. -
Software Engineer InternBuckman Jun 2023 - Aug 2023Memphis, Tennessee, United States• Developed an interactive dashboard using Azure, KQL, and PowerBI to visualize key performance indicators related to Event Logs, API success and failure rates, and overall API performance. This led to a 90% reduction in manual telemetry analysis, enabling stakeholders to make data-driven decisions that optimized production outcomes.• Built automated data pipeline with Azure Data Factory and PowerBI to visualize key performance indicators on API, achieving a 90% reduction in manual telemetry analysis and empowering stakeholders to make data-driven decisions.
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Software Engineer InternCholamandalam Investment And Finance Company Limited Oct 2021 - Jul 2022Chennai, Tamil Nadu, India• Developed an Optical Character Recognition Engine utilizing deep learning techniques - CNN and RNN to improve image recognition and text extraction. Integrated the trained model with SpaCy for natural language processing, streamlining data extraction from identity documents.• Optimized the Know Your Customer process, reducing manual workload and improving model accuracy by 70%, expediting customer verification timelines.• Streamlined the critical KYC feature for this fintech company, slashing manual workload by 65%. -
Software Engineer InternLaunchit Corp. Nov 2021 - Dec 2021Chennai, Tamil Nadu, India• Contributed to the development and execution of 20+ unit tests and automation scripts using Selenium, effectively enhancing the team's efforts to improve UI functionality.• Assisted in writing and executing test cases for new features, helping identify and report bugs early in the development cycle -
Data Analyst InternGlobalshala Oct 2021 - Nov 2021India• Executed exploratory data analysis on over 10 Facebook advertising campaigns, identifying a high customer acquisition cost campaign for termination, saving $2,400 in monthly ad expenditure.• Created a comprehensive Tableau dashboard that visualized key performance indicators, allowing stakeholders to make informed, data-driven decisions and drive strategic initiatives.
Niranjana Subramanian Education Details
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3.91/4.0
Frequently Asked Questions about Niranjana Subramanian
What company does Niranjana Subramanian work for?
Niranjana Subramanian works for Cointrends.ai
What is Niranjana Subramanian's role at the current company?
Niranjana Subramanian's current role is Data Engineer.
What schools did Niranjana Subramanian attend?
Niranjana Subramanian attended The University Of Texas At Arlington, Anna University Chennai.
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Niranjana Subramanian
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Niranjana(Nina) Subramanian
Irvine, Ca2gmail.com, auction.com
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