As a passionate data science professional with a solid foundation in computer engineering, I thrive on transforming complex data into actionable insights. My experience spans a variety of projects that showcase my skills in data analysis, machine learning, and deep learning.One of my notable projects is the SteamPlay Recommender, where I developed a game recommendation engine by scraping data from Steam. This involved utilizing both unsupervised and supervised learning techniques to achieve high accuracy in recommendations, significantly enhancing user experience. In another project, ShopTalk: E-commerce Sentiment Analysis, I conducted extensive sentiment analysis on a large dataset, employing advanced visualizations and machine learning algorithms to uncover insights that ultimately improved customer engagement.I also worked on UniPredict: Admission Analytics, where I analyzed factors influencing university admissions for international students using various statistical techniques. This project allowed me to identify key predictors that can guide future application strategies. Additionally, I designed a Breast Cancer Neural Classifier, creating a sequential neural network that achieved impressive accuracy through effective data preparation and model optimization.My work on the ElectroMobility Dashboard involved creating an interactive Power BI dashboard to analyze electric vehicle adoption trends across the United States, revealing regional insights and usage patterns. Furthermore, I developed LinguaDetect: Hybrid Language Identification, a hybrid system for language identification that leveraged unsupervised learning techniques, culminating in published research on the topic.In terms of technical skills, I am proficient in programming languages such as Python, R, and SQL, and I have extensive experience with data science libraries and tools, including TensorFlow, Keras, Pandas, and Power BI. I am eager to apply my analytical thinking, technical expertise, and creativity to tackle new challenges in the field of data science.
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Data InternGoodie BagBoulder, Co, Us -
Graduate Teaching AssistantUniversity Of Colorado Boulder Aug 2024 - PresentBoulder, Colorado, United States- Assist Dr.Gates with preparing lecture materials, including slides, notes, and any supplementary resources.- Provide guidance and support to students during office hours, addressing their questions and concerns related to course content.- Grading of assignments, projects, and exams, ensuring consistency and fairness across all assessments.- Provide detailed feedback to students to help them improve their understanding and performance.- Mentor and guide other TAs in their responsibilities, ensuring they are effectively supporting the course. -
Ray Framework Open-Source Contributor VolunteerAnyscale Jul 2024 - Present• Contributed to Ray, an open-source framework for scaling AI and Python apps, focusing on Ray Data, Ray Train, Ray Tune, and RLlib components.• Collaborated with the Ray community on GitHub to enhance documentation, fix bugs, and implement new features.• Diagnosed and resolved a critical ArrowNotImplementedError in data processing, proposing solutions to enhance compatibility with PyArrow. -
A/V TechnicianUniversity Of Colorado Boulder - Leeds School Of Business Jun 2024 - PresentBoulder, Colorado, United States• Maintained and updated comprehensive Excel spreadsheets to track and manage A/V equipment inventory across multiple classrooms, demonstrating strong attention to detail and data management.• Provided exceptional customer service and technical support for classroom A/V equipment, consistently resolving issues promptly and effectively to minimize disruptions to academic activities. -
Graduate Research And Teaching AssistantUniversity Of Colorado Boulder - Leeds School Of Business Aug 2024 - Oct 2024Boulder, Colorado, United States- Collaborate with Professor Yilmaz to design and develop quizzes, assignments, and projects that align with course objectives.- Ensure that assessments are challenging yet fair, and provide a comprehensive understanding of the course material.- Hold regular office hours to assist students with their queries, offering one-on-one support for understanding complex topics or completing assignments.- Provide constructive feedback to students to help them improve their skills and knowledge. -
Content CreatorNerdcast Jul 2020 - Aug 2023I worked on creating podcasts that involved topics such as Technology, Mental Health, Entertainment, Education, etc. We have 5000+ unique listens on all the platforms including YouTube, Spotify, and Apple Podcast. Enhance audience engagement by 50% through creative storytelling and data analytics.
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Co-FounderNerdcasm Jul 2017 - Jul 2020I worked on content writing which involved topics such as Technology, Gaming, and Movie Reviews.I authored and published around 15+ articles and website management support throughout my tenure.
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WriterNerdcasm Jul 2017 - Jul 2020
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Web DeveloperSponsdo Aug 2018 - Dec 2019IndiaArchitected a scalable website using HTML, CSS, and Bootstrap, increasing client interactions by 10% and session duration by 20%.Adopting effective management led a team to a 15% decrease in development time.
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Social Media Marketing InternLivesmartly May 2017 - Jun 2017Aided gaining followers by 25% on different social media platformsAcquired fundamental knowledge of sentiment analysis
Pranit Katwe Skills
Pranit Katwe Education Details
Frequently Asked Questions about Pranit Katwe
What company does Pranit Katwe work for?
Pranit Katwe works for Goodie Bag
What is Pranit Katwe's role at the current company?
Pranit Katwe's current role is Data Intern.
What schools did Pranit Katwe attend?
Pranit Katwe attended University Of Colorado Boulder, K.k.wagh Institute Of Engineering Education & Research.
What skills is Pranit Katwe known for?
Pranit Katwe has skills like Leadership, Website Building, C, Debugging, Windows, Microsoft Powerpoint, Web Development, Team Management, Kali Linux, Html, Microsoft Office, Programming.
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