I aspire to work in AI and NLP, using Python and deep learning to solve real-world problems, blending my skills with a passion for impactful tech solutions.<\/p>\n
kushal.chandani2002@gmail.com
\nhttps:\/\/www.linkedin.com\/in\/kushal-chandani\/<\/p>\n
+92 331 271 9166<\/p>\n
Dhanani School of Science and Engineering
\nBS Computer Science<\/p>\n
2025
\nDeep Learning and Generative AI, Javascript (ReactJS and nodeJS), Published internationally at CLEF 2024: Check That! in Large Language Models., Python (Tensorflow, pytorch, sci-kit learn), SQL and NoSQL
\nDeans list in Fall 2024, Excellence Scholar Award 2021 with 80% academic scholarship.
\nDean’s List in Fall 2024, President of entrepreneurship Club 2023-2024, Published internationally at CLEF 2024: Check That! in Large Language Models, Secured 3rd place at Digital Logic Design Projects exhibition 2023, Won 1st place in Design for Climate Resilience Challenge 2024
\nData Analyst Intern, Ismail Industries Pvt Ltd (June 2024\u00a0 August 2024), Industry Project, Systems Ltd (June 2023 August 2023), IT Intern, Muller and Phipps (June 2022\u00a0 August 2023), Industry Project, Salesflo
\nPublished internationally at CLEF 2024: Check That! in Large Language Models.
\nWeatherWalay
\nOur project aims to deliver hyper-local weather forecasts for Pakistans underserved regions using advanced interpolation techniques like Kriging and LSTMs. Collaborating with WeatherWalay- a startup, were tackling the challenge of sparse weather station coverage by integrating spatial and temporal data to predict temperature, humidity, wind speed, and rainfall with enhanced accuracy. Our purpose is to empower stakeholders, freight transporters, travelers, and event managers, with precise, location-specific advisories via a user-friendly mobile app. Our project includes a Virtual Weather tool as a deliverable, broadening its scope. By testing models and documenting insights, we aim to compare prediction accuracies and highlight influential factors like wind speed, temperature, and humidity. Benefits include improved decision-making, scalable weather prediction technology, and a research-backed framework for future enhancements. It blends machine learning and practical app design to address real-world weather forecasting gaps.<\/p>\n","protected":false},"excerpt":{"rendered":"
I aspire to work in AI and NLP, using Python and deep learning to solve real-world problems, blending my skills with a passion for impactful tech solutions. kushal.chandani2002@gmail.com https:\/\/www.linkedin.com\/in\/kushal-chandani\/ +92 331 271 9166 Dhanani School of Science and Engineering BS Computer Science 2025 Deep Learning and Generative AI, Javascript (ReactJS and nodeJS), Published internationally at […]<\/p>\n","protected":false},"author":9,"featured_media":6361,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"single-graduate-01.php","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"program":[29],"school":[42],"class":[41],"minor":[],"class_list":["post-6291","graduate","type-graduate","status-publish","format-standard","has-post-thumbnail","hentry","program-bscs","school-dhanani-school-of-science-and-engineering","class-class-of-2025"],"acf":{"aspiration_statement":"I aspire to work in AI and NLP, using Python and deep learning to solve real-world problems, blending my skills with a passion for impactful tech solutions.","video_profile_link":"","habib_email":"","email":"kushal.chandani2002@gmail.com","linkedin_link":"https:\/\/www.linkedin.com\/in\/kushal-chandani\/","portfolio_Title":"","portfolio_link":"","personal_cell_1":"+92 331 271 9166","personal_cell_2":"","core_skills":[{"skill":"Deep Learning and Generative AI, Javascript (ReactJS and nodeJS), Published internationally at CLEF 2024: Check That! in Large Language Models., Python (Tensorflow, pytorch, sci-kit learn), SQL and NoSQL"}],"academic_awards":[{"academic_record":"Deans list in Fall 2024, Excellence Scholar Award 2021 with 80% academic scholarship."}],"leadership-experiences":[{"leadership":"Dean's List in Fall 2024, President of entrepreneurship Club 2023-2024, Published internationally at CLEF 2024: Check That! in Large Language Models, Secured 3rd place at Digital Logic Design Projects exhibition 2023, Won 1st place in Design for Climate Resilience Challenge 2024"}],"work-experience":[{"experience":"Data Analyst Intern, Ismail Industries Pvt Ltd (June 2024 August 2024), Industry Project, Systems Ltd (June 2023 August 2023), IT Intern, Muller and Phipps (June 2022 August 2023), Industry Project, Salesflo"}],"publications-projects":[{"publications_title":"","publications":"Published internationally at CLEF 2024: Check That! in Large Language Models."}],"project_title":"WeatherWalay","fyp_desc":"Our project aims to deliver hyper-local weather forecasts for Pakistans underserved regions using advanced interpolation techniques like Kriging and LSTMs. Collaborating with WeatherWalay- a startup, were tackling the challenge of sparse weather station coverage by integrating spatial and temporal data to predict temperature, humidity, wind speed, and rainfall with enhanced accuracy. Our purpose is to empower stakeholders, freight transporters, travelers, and event managers, with precise, location-specific advisories via a user-friendly mobile app. Our project includes a Virtual Weather tool as a deliverable, broadening its scope. By testing models and documenting insights, we aim to compare prediction accuracies and highlight influential factors like wind speed, temperature, and humidity. Benefits include improved decision-making, scalable weather prediction technology, and a research-backed framework for future enhancements. It blends machine learning and practical app design to address real-world weather forecasting gaps.","project_pictures":null,"project-video":""},"yoast_head":"\n