Yash Kantharia Email & Phone Number

New York, Ny, Us

• Onboard new clients and build personalized learning journeys for various data technologies to achieve their career goals.• Improve user experience and tracking with data-driven insights to prevent churn.

• Developing a natural language-to-SQL querying mechanism using Python, leveraging AI and Large Language Models (LLMs) to enable non-technical users to extract insights from the database seamlessly.• Fine-tuning pre-trained LLMs to improve the accuracy and relevance of SQL query generation, ensuring reliable and accurate data retrieval based on user input.• Collaborating on a project to match film talent requirements with a database of users by calculating similarity scores between vectors, streamlining talent search and casting processes.• Utilizing vector similarity techniques to enhance the recommendation engine, enabling precise and context-driven matches for talent requirements based on users’ skills and profiles.• Conducting performance evaluations of the AI models, analyzing metrics to optimize query accuracy and match relevancy, contributing to the overall efficiency of AI-driven solutions at Filmy AI.

• Crafting advanced NLP models for cutting-edge interactions and information retrieval.• Developing and fine-tuning efficient machine learning algorithms to maximize system performance and accuracy.• Curating and managing robust datasets to fuel AI model development and deployment.Actively driving the design and implementation of innovative AI-powered features and applications.• Demonstrating proficiency in Python, TensorFlow, PyTorch, and other relevant deep learning frameworks for natural language processing tasks.

New York, Us

• Implemented efficient data pipelines with SCP file transfers and Azure Blob Storage using Python libraries (NumPy, Pandas, Scikit-learn), adhering to best coding practices, reducing execution time by 80%.• Accelerated data pipeline automation with Python, SQL, and Azure Tools for periodic data extraction from a private network's Oracle database, executing complex calculations, formatting data into CSV or Parquet files, and triggering REST APIs.• Designed sales, performance, and incentive metrics for analytical dashboards across client’s hierarchical levels, driving significant user adoption and providing actionable insights for performance and progress tracking and predictive analytics.• Conducted technical interviews and trained three team members, fostering skill growth and contributing to hiring efforts.

San Francisco, California, Us

• Achieved a 4.9/5.0 CSAT score by driving customer success and ROI for enterprise clients on CleverTap’s mobile marketing platform through expert campaign design, execution, and optimization.• Collaborated with C-level executives to develop tailored, compliant marketing solutions aligned with GDPR and CCPA, translating business needs into effective initiatives.• Analyzed multimedia marketing campaign performance and user behavior using CleverTap, Google Analytics, and Facebook Ads, applying funnel, cohort, and event flow analysis for optimization.• Resolved over 8000+ technical queries related to Android, Web, and iOS SDK integrations, leveraging Agile methodologies for root cause analysis and accelerating client onboarding by 20%.• Utilized Natural Language Processing (NLP) techniques like Latent Dirichlet Allocation and keyword analysis to analyze support tickets, uncover trends, and recommend process improvements.• Created a Java-based Android application integrated with CleverTap and Firebase SDK for tracking user data, facilitating client demos, issue replication, feature testing, and team training.• Established annotation and metrics for user queries to track team response times and satisfaction, ensuring adherence to KPIs and SLAs using JIRA dashboard analytics.• Developed a comprehensive technical knowledge base that documented solutions and best practices, leading to a 25% decrease in support ticket resolution time and improved team efficiency.• Mentored and managed a team of five, promoting a collaborative environment and knowledge sharing, resulting in a 10% increase in productivity measured by tickets resolved per week.

San Francisco, California, Us

• Delivering resolutions to customer queries and creating custom tech solutions to help resolve them. These solutions vary from data analysis using python, API scripts, Android debugging, Web Development, etc.• Spearheaded a proof-of-concept solution for Real-time Uninstall Tracking in Android apps in Java, implementing Firebase Analytics and CleverTap APIs for data integration and real-time data processing using cloud functions (Node.js) and REST APIs, enabling clients to run effective win-back campaigns and reducing churn by 15%.

Master Of Science - Ms, Computer Science

Bachelor Of Engineering (Be), Information Technology

Hsc, Computer Science

Ssc