About The Team
New Business Process Automation team dedicated to driving operational excellence through the implementation of automated systems and intelligent workflows , leveraging innovative solutions and emerging technologies . We specialize in conducting gap analyses and reviewing end-to-end business process flows to identify opportunities for efficiency gains , cost reduction , and digital adoption . By aligning AI and automation strategies with business goals, we enable scalable transformation and empower teams to focus on high-value work.
Focus Of The Internship
We are seeking a forward-thinking and technically skilled professional to lead initiatives in Artificial Intelligence (AI) , Machine Learning (ML) , and Data Analytics . This role will be instrumental in transforming business processes, driving automation, and enabling data-driven decision-making across the organization.
Key Responsibilities
- Design and implement AI/ML models to optimize workflows and enhance operational efficiency.
- Conduct data mining, statistical analysis, and predictive modeling to uncover insights and trends.
- Collaborate with cross-functional teams to identify automation opportunities and develop intelligent solutions.
- Build and maintain scalable data pipelines and dashboards for real-time analytics.
- Evaluate and integrate emerging technologies to support digital transformation.
- Ensure data governance, privacy, and compliance with regulatory standards.
Key Learnings
Technical Skills:
- Data Analysis & Visualization : Using tools like Excel, Power BI, or Python (Pandas, Matplotlib) to interpret and present data.
- Machine Learning Basics : Understanding model types (classification, regression), training workflows, and evaluation metrics.
- AI Concepts : Exposure to natural language processing (NLP), computer vision, or recommendation systems depending on project scope.
- Automation Tools : Learning platforms like BluePrism , Power Automate, or scripting for workflow automation.
- Cloud & Data Platforms : Introduction to Azure, AWS, or GCP for data storage, processing, and model deployment.
Project Experience
- Gap Analysis : Assisting in identifying inefficiencies in current processes and proposing data-driven improvements.
- Process Mapping : Documenting workflows and helping redesign them for automation.
- Model Testing & Validation : Supporting the team in testing AI/ML models and interpreting results.
- Dashboard Creation : Building or updating dashboards to track KPIs and performance metrics.
Education & Experience Requirements
- Bachelor's or Master's degree in Computer Science , Data Science, Engineering, or related field.
- Proven experience in AI/ML model development and deployment.
- Strong proficiency in Python, R, SQL, and data visualization tools (e.g., Power BI, Tableau).
- Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and MLOps practices.
- Excellent problem-solving, communication, and stakeholder engagement skills.
