Sushant Chavan

Results-driven Data Scientist and Machine Learning Engineer with 3.5+ years of experience designing and deploying end-to-end ML solutions across retail, OTT, and energy domains. Expertise in Python, Machine Learning, Deep Learning, NLP, LLMs, and RAG pipelines. Proven ability to translate complex data problems into measurable business impact — including improving customer retention, personalizing campaigns, and predicting energy loss.

Experienced in cloud deployment (AWS), MLOps, and cross-functional collaboration.

Data Scientist | Associate ML Engineer at Infosys Limited (2026-12 – Present)

• Design and develop end-to-end machine learning pipelines for client use cases using Python, Deep Learning, and NLP.
• Conduct domain-specific research to frame project objectives and define success metrics aligned with business KPIs.
• Build and evaluate predictive models for large-scale datasets, improving model accuracy and business outcomes.
• Collaborate with data engineering team to automate data preprocessing workflows and maintain data quality standards.

System Engineer (Data Science & Machine Learning Projects) at Infosys Limited (2022-06 – 2025-11)

• Developed and deployed machine learning models across retail, OTT, and energy sectors using Python, Scikit-learn, and AWS.
• Built ML pipelines integrating data ingestion, feature engineering, model training, and deployment on AWS EC2 and Glue.
• Applied NLP and LLM (GPT) models to automate campaign creative generation, reducing content creation time significantly.
• Worked with Databricks for large-scale data processing and time series forecasting.
• Produced structured technical documentation and collaborated with cross-functional teams to deliver project milestones.

Bachelor of Engineering in Mechanical Engineering – Bharati Vidyapeeth College of Engineering, Pune (BVPCOEP) (2021)