Pramod Baviskar

AI Researcher

Mumbai, Maharashtra, India5 yrs 6 mos experience

AI EnabledHighly Stable

Key Highlights

Reduced employee support tickets by 35% with chatbot.
Achieved 18% cost savings through forecasting models.
Star performer rating for two consecutive years.

Stackforce AI infers this person is a SaaS-focused Machine Learning Engineer with expertise in AI-driven solutions.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Conversational AiMachine LearningData ScienceWeb DevelopmentAndroid Development

Other Skills

Adobe IllustratorAdobe PhotoshopAdobe Premiere ProAdobe XDAzure DevOpsBig DataC (Programming Language)Cascading Style Sheets (CSS)DevOpsDjangoElasticsearchFastAPIGenerative AI ToolsGitHubHTML

About

Data-driven Machine Learning Engineer & Data Scientist with experience in AI, Generative AI, LLMs, and predictive modeling. Proven ability to analyze large datasets, extract key trends, and build scalable data-driven solutions. Led development of an enterprise chatbot, reducing employee support tickets by 35%. Designed ML models that cut alert management time by 30% and operational costs by 25%. Developed forecasting models resulting in 18% cost savings. Optimized SQL queries improving response times by 25%. Star performer rating for two consecutive years in Reliance Jio Platforms Limited.

Experience

Accenture strategy & consulting

AI Decision Science Analyst

Aug 2025 – Present · 7 mos · Pune, Maharashtra, India · Hybrid

Conversational AIArtificial Intelligence (AI)Generative AI ToolsWord Embeddings

Jio

Data Scientist

Jul 2022 – Aug 2025 · 3 yrs 1 mo · Navi Mumbai, Maharashtra, India · On-site

As an Associate Data Scientist at Jio Platforms, I work on designing and deploying scalable AI and data solutions to drive business efficiency and automation. My key responsibilities and achievements include:
CloudXP Chatbot:
Led the development of an enterprise-grade AI chatbot using LLMs and Retrieval-Augmented Generation (RAG) architecture.
Successfully deployed a local LLaMA model on on-premises servers to ensure data security and privacy.
Implemented a document retrieval system with over 90% accuracy, reducing employee support tickets by 35%.
Alert Scoring and Recommendation System:
Built ML models to prioritize system alerts based on severity and impact, enabling proactive issue resolution.
Developed a recommendation engine suggesting remediation actions using historical patterns, reducing alert management time by 30% and operational costs by 25%.
Resource Auto-Scaling Solution:
Developed time-series forecasting models to predict optimal CPU, disk, and storage requirements for cloud resources.
Built a data pipeline integrating Elasticsearch metrics into PostgreSQL for analysis.
Enabled automated scaling recommendations, resulting in 18% cost savings through resource optimization.
Additional Contributions:
Optimized complex SQL queries, improving report response times by 25%.
Designed RESTful APIs adhering to industry best practices for seamless integration across services.
Collaborated with cross-functional teams to gather requirements, define project scopes, and deliver high-impact solutions.
I am passionate about leveraging AI, ML, and LLMs to create practical data-driven solutions that optimize business processes and enhance decision-making.