Naman Bhagat
Co-founder @Slaash
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WORK HISTORY
Co-founder @Slaash
Rochester, NY, US
Directed backend and partial frontend development, ensuring scalable and user-friendly architecture for early-stage clients- Secured 10 business clients and generated initial revenue, directly contributing to acceptance into 2 competitive VC accelerator programs- Built and managed outreach, hiring, and business partnerships, strengthening growth and operational capacity- Deployed a RAG-based LLM chatbot that improved client engagement by 35% and reduced support tickets by 25%- Oversaw end-to-end product strategy, combining technical execution with business development to accelerate company growth trajectory.
EDUCATION
Indian Institute of Information Technology, Design and Manufacturing, Jabalpur
Bachelor of Technology - BTech
ABOUT NAMAN BHAGAT
Passionate about turning data into actionable insights and solving complex problems through the power of data science. I\'m on a journey to become a proficient data scientist with a strong foundation in machine learning, statistics, and data analysis. Key Skills: Data Analysis: Proficient in Python and R for data manipulation, exploratory data analysis (EDA), and visualization.🤖 Machine Learning: Developing and implementing machine learning models for predictive analytics and classification tasks. Statistics: Strong foundation in statistical analysis and hypothesis testing. Data Visualization: Creating compelling data visualizations to communicate insights effectively.🧠 Problem Solving: Solving real-world problems by applying data science techniques and critical thinking. SQL: Proficient in querying databases to extract relevant data. Education: BTech Batch \'25 in CSE from Indian Institute of Information Technology, Jabalpur: Gained a solid understanding of data science concepts and methodologies. Relevant Courses: List any relevant coursework, online courses, or certifications related to data science. Achievements: Flipkart Grid 5.0 semi-finalists Continuous Learning:Dedicated to staying up-to-date with the latest trends and technologies in data science through online courses, books, and active participation in data science communities.
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