Kanishka Ghodke
Data Scientist | Data Analyst | Machine Learning | Python, SQL, Tableau, Power BI | Cloud & Business Intelligence Enthusiast | CU Boulder
- Role
- Data Science and Ai Intern at Kobeyo
- Location
- Boulder, CO, US
- LinkedIn followers
- 500 followers
About Kanishka Ghodke
Data Scientist | Machine Learning Enthusiast | Cloud & BI Specialist Just graduated with a Master\'s in Data Science from CU Boulder, and I\'m eager to apply my skills to real-world challenges. My journey has equipped me with hands-on experience in-Machine Learning & AI: Predictive modeling, NLP, time series analysis, deep learning-Data Engineering & Visualization: Python, SQL, Tableau, Power BI, AWS, Snowflake. During my time at NOAA-CIRES, I developed ETL pipelines and automated large-scale data processing, culminating in interactive dashboards that provided valuable research insights. I\'ve also tackled projects in deepfake detection, sentiment analysis, and climate change analytics, blending technical proficiency with a passion for impactful solutions. Now, I\'m seeking full-time opportunities in Data Science, AI, and Analytics where I can contribute to data-driven decision-making and continue to grow professionally. Let\'s connect and explore how we can drive innovation together!
Experience
Data Science and Ai Intern
Mar 2025 — Present · Denver, CO, US
Co-leading AI/ML and BI teams to build an autonomous job-matching platform using GPT-4-turbo, Claude, and Apollo agents, automating over 90% of sourcing workflows, improving match accuracy, and designing geospatial dashboards that boost customer engagement and hiring insights-Fine-tuning large language models using LoRA, BERT, and other parameter-efficient methods (PEFT) to optimize semantic search, contextual job reranking, and hyper-personalized recommendations, balancing model performance with scalable, low-latency deployment-Building Supabase-powered RAG pipelines and Graph RAG workflows for conversational AI, enabling dynamic job discovery and recruiter interaction via an in-app assistant-Integrating AI agents and orchestration frameworks to connect data ingestion, scraping, and skill tagging workflows end-to-end-Automating large-scale web data extraction using Selenium, Playwright, Crawl4AI, Yelp API, Google Places API, and Outscraper, ensuring clean and structured business intelligence inputs-Leveraging OpenAI and Gemini models for advanced email classification and skill tagging, improving tagging accuracy and outreach relevance-Collaborating with recruiters and business teams to align AI outputs with user needs, refining model logic and UI through continuous feedback-Automating data ingestion and skill-tagging using Python and SQL, cutting query time by 50% and increasing business data coverage by 40%.
Education
University of Colorado Boulder
Master of Science - MS
2023 — 2025
Delhi Public School, Pune
Primary Schooling
2006 — 2012
Delhi Public School - Mumbai
High School - PCM with Informatics Practises
2017 — 2019
University of Mumbai
Bachelor of Engineering - BE
2019 — 2023
Podar International School ,Mumbai
ICSE (Science with CS)
2015 — 2017
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