Pranav Bhasin work email
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Pranav Bhasin personal email
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A driven Machine Learning Engineer and Software Engineer with a Master of Science in Computer Science from the University of Central Florida, uniting a passion for AI applications with full-stack software development expertise. Emphasizing innovation and research, I am committed to translating theoretical concepts into practical solutions that enhance efficiency and drive impact.My journey so far has included:✪ Building convincing Proof of Concepts (PoCs) that demonstrated potential benefits in LLM.✪ Creating a near real-time MongoDB to PostgreSQL ETL, resulting in a 35% improvement in data accessibility.✪ Developing automated systems that saved time and increased accuracy across various sectors.✪ Streamlining logging and data accessibility, handling over 1TB of data daily.Areas of Expertise:✪ Machine Learning Engineering & Model Development✪ Software Integrations & Cloud Computing✪ Distributed Systems✪ Real-time ETL & RESTful APIs✪ Data Visualization & Reporting✪ Cross-functional Collaboration & Web AutomationWith a commitment to advancing the field of machine learning and software development, I continuously seek new challenges that align with innovation, efficiency, and collaboration. I look forward to connecting with fellow professionals and enthusiasts to share insights and shape the future together!
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Senior Ai EngineerBcg XDallas, Tx, Us -
Software EngineerFortress Information Security May 2021Orlando, Florida, Us• Orchestrated daily standups to pinpoint and overcome obstacles, and foster a collaborative engineering team.• Administered a 10-node OpenSearch cluster, enabling sophisticated monitoring and alerting, and automated Jenkins triggers for service recovery.• Constructed a read/write cache using Go and Redis, cutting DB CPU usage by 20% and diminishing read latency by 40%.• Enhanced an in-house RBAC system, introducing new user, profile, and role features.• Revolutionized the data breach reporting process, achieving a 99% recall rate and saving 30% FTE hours annually with HuggingFace Transformers and TensorFlow.• Devised an automated questionnaire matching system using Sentence Bert, Elasticsearch, and MongoDB, exposed as an asynchronous RESTful API.• Eliminated over 50,000 duplicate vendor names with a 95% accuracy rate using an Ensembled Fuzzy Name Matching tool.• Boosted data accessibility by 35% through a real-time MongoDB to PostgreSQL ETL, handling over 1TB of data daily.• Simplified logging at Fortress, accommodating 1 million logs daily in an OpenSearch cluster.• Deployed a Software Bill of Materials tool, integrating with 32 package managers and GitHub APIs for regulatory compliance.• Refined risk ranking algorithms, reducing computation times by 30%. -
Data Scientist 1 InternFortress Information Security Feb 2021 - May 2021Orlando, Florida, Us• Designed and implemented an internal risk management portal with various dashboards using Django and Looker.• Automated M&A activity monitoring, reducing required FTE hours by over 50% using Pandas & Selenium.
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Graduate Teaching AssistantUniversity Of Central Florida Nov 2019 - Jan 2021Orlando, Fl, Us• Mentored 100+ students in MS Excel for MOS core and Expert Certifications.• Graded weekly assignments in Python and provided mentorship during weekly office hours for the course COP4600-20 (Operating Systems). -
Data Scientist InternWhatsbusy May 2020 - Sep 2020The Woodlands, Tx, Us• Developed a backend solution for mapping Point of Sale (POS) transaction data for restaurants, integrating with AWS S3, pandas, PostgreSQL, and Django.• Created an item pricing recommendation algorithm, increasing sales by 25% on a week-on-week basis using Python, pandas, sk-learn, Beautifulsoup, Selenium, Xpath, Django, and Postgres. -
Machine Learning Engineering InternHaptik May 2019 - Jul 2019New York, Ny, Us• Assisted with a conversational AI prototype for low resource Indic languages using Conditional Random Fields (CRF) and deep learning, enhancing efficiency and accuracy.• Contributed to the open-source project Embedding-as-service by integrating word2vec, fasttext, glove, and USE embeddings. -
Big Data And Artificial Inteligence InternNus Computing May 2018 - Jun 2018Singapore, Singapore, SgCompleted an academic internship which involved big data and artificial intelligence. Worked on Cloudera Manager, R and Python.Created a machine-learning model in Python and TensorFlow to generate virtual images of Pokémon characters from Internet datasets. Utilized a generative adversarial network (GAN) with Wass-Gans as the loss function. -
Machine Learning InternCrux Creative Solutions Private Limited Apr 2017 - May 2018Gurgaon, Haryana, In• Created an internal analytics tool to accelerate monitoring brand image and campaigns using Python, scikit-learn, Pytorch, Seaborn, and Django.• Innovated a sentiment analysis tool supporting social media platforms, identifying trends.• Introduced a reinforcement learning-based algorithm to enhance ROI by 50% on LinkedIn campaigns using Python, scikit-learn, Seaborn, and Django. -
Intern Frontend Web DeveloperCrux Creative Solutions Private Limited Apr 2016 - Jul 2016Gurgaon, Haryana, In• Designed UI for various web pages using HTML, JavaScript, CSS, and jQuery.• Collaborated with back-end developers and web designers, improving usability.• Assisted in coding, troubleshooting, browser testing, and debugging.
Pranav Bhasin Skills
Pranav Bhasin Education Details
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University Of Central FloridaComputer Science -
Vellore Institute Of TechnologyComputer Science
Frequently Asked Questions about Pranav Bhasin
What company does Pranav Bhasin work for?
Pranav Bhasin works for Bcg X
What is Pranav Bhasin's role at the current company?
Pranav Bhasin's current role is Senior AI Engineer.
What is Pranav Bhasin's email address?
Pranav Bhasin's email address is pr****@****ail.com
What schools did Pranav Bhasin attend?
Pranav Bhasin attended University Of Central Florida, Vellore Institute Of Technology.
What skills is Pranav Bhasin known for?
Pranav Bhasin has skills like Fastapi, Artificial Neural Networks, Leadership, Mysql, Neural Networks, Scikit Learn, R, Distributed Systems, Pandas, Linux, Data Science, Algorithms.
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