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I am a dedicated Data & AI professional with around 4 years of experience specializing in analyzing data, developing and deploying end-to-end machine learning pipelines, and building recommendation systems using tools such as Python, SQL, Tableau, Power BI, AWS SageMaker, and advanced MLOps techniques. I am proficient in building and maintaining robust data pipelines and dashboards, ensuring clean and timely data delivery for analytics and reporting. I am passionate about leveraging my skills in machine learning, cloud technologies, and data engineering to solve complex business challenges and optimize decision-making processes. Throughout my career, I have collaborated closely with cross-functional teams to deliver actionable insights and lead A/B testing initiatives that improved personalization and product relevance by over 30%. I enjoy communicating technical concepts effectively to non-technical stakeholders and thrive in agile, fast-paced environments. Currently, I am expanding my expertise through my Master's in Information Technology while contributing to innovative AI projects in a professional setting.…I am a dedicated Data & AI professional with around 4 years of experience specializing in analyzing data, developing and deploying end-to-end machine learning pipelines, and building recommendation systems using tools such as Python, SQL, Tableau, Power BI, AWS SageMaker, and advanced MLOps techniques. I am proficient in building and maintaining robust data pipelines and dashboards, ensuring clean and timely data delivery for analytics and reporting. I am passionate about leveraging my skills in machine learning, cloud technologies, and data engineering to solve complex business challenges and optimize decision-making processes. Throughout my career, I have collaborated closely with cross-functional teams to deliver actionable insights and lead A/B testing initiatives that improved personalization and product relevance by over 30%. I enjoy communicating technical concepts effectively to non-technical stakeholders and thrive in agile, fast-paced environments. Currently, I am expanding my expertise through my Master's in Information Technology while contributing to innovative AI projects in a professional setting.

Leelakarthik Devisetty

AI Engineer, Data Analyst, Data Scientist, +2

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I am a dedicated Data & AI professional with around 4 years of experience specializing in analyzing data, developing and deploying end-to-end machine learning pipelines, and building recommendation systems using tools such as Python, SQL, Tableau, Power BI, AWS SageMaker, and advanced MLOps techniques. I am proficient in building and maintaining robust data pipelines and dashboards, ensuring clean and timely data delivery for analytics and reporting. I am passionate about leveraging my skills in machine learning, cloud technologies, and data engineering to solve complex business challenges and optimize decision-making processes. Throughout my career, I have collaborated closely with cross-functional teams to deliver actionable insights and lead A/B testing initiatives that improved personalization and product relevance by over 30%. I enjoy communicating technical concepts effectively to non-technical stakeholders and thrive in agile, fast-paced environments. Currently, I am expanding my expertise through my Master's in Information Technology while contributing to innovative AI projects in a professional setting.…I am a dedicated Data & AI professional with around 4 years of experience specializing in analyzing data, developing and deploying end-to-end machine learning pipelines, and building recommendation systems using tools such as Python, SQL, Tableau, Power BI, AWS SageMaker, and advanced MLOps techniques. I am proficient in building and maintaining robust data pipelines and dashboards, ensuring clean and timely data delivery for analytics and reporting. I am passionate about leveraging my skills in machine learning, cloud technologies, and data engineering to solve complex business challenges and optimize decision-making processes. Throughout my career, I have collaborated closely with cross-functional teams to deliver actionable insights and lead A/B testing initiatives that improved personalization and product relevance by over 30%. I enjoy communicating technical concepts effectively to non-technical stakeholders and thrive in agile, fast-paced environments. Currently, I am expanding my expertise through my Master's in Information Technology while contributing to innovative AI projects in a professional setting.

Available to hire

I am a dedicated Data & AI professional with around 4 years of experience specializing in analyzing data, developing and deploying end-to-end machine learning pipelines, and building recommendation systems using tools such as Python, SQL, Tableau, Power BI, AWS SageMaker, and advanced MLOps techniques. I am proficient in building and maintaining robust data pipelines and dashboards, ensuring clean and timely data delivery for analytics and reporting. I am passionate about leveraging my skills in machine learning, cloud technologies, and data engineering to solve complex business challenges and optimize decision-making processes.

Throughout my career, I have collaborated closely with cross-functional teams to deliver actionable insights and lead A/B testing initiatives that improved personalization and product relevance by over 30%. I enjoy communicating technical concepts effectively to non-technical stakeholders and thrive in agile, fast-paced environments. Currently, I am expanding my expertise through my Master’s in Information Technology while contributing to innovative AI projects in a professional setting.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

AI Engineer Intern at AIG, USA

November 1, 2024 - Present

Developed and deployed end-to-end machine learning pipelines using Python and AWS SageMaker that included data preprocessing, model training, evaluation, and deployment. Built and fine-tuned classification models like Logistic Regression, Random Forest, Gradient Boosting, and SVM, leveraging techniques such as GridSearchCV and SMOTE to boost performance. Extracted and transformed structured log data from PostgreSQL, Cassandra, and SQL Developer. Created interactive Tableau dashboards to present AI insights to stakeholders, enabling informed business decisions. Collaborated across teams using JIRA and enhanced model monitoring and deployment workflows with automation and GitLab-AWS integration.

Data Analyst at Draxo Infotech, India

December 1, 2023 - August 4, 2025

Implemented and scaled machine learning pipelines on AWS SageMaker, Lambda, and Redshift to support high-availability chatbot systems processing over 10,000 events per second. Performed large-scale data analysis on banking data using SQL to extract insights on customer transactions, loan performance, and account behaviors that informed business strategies. Designed and deployed interactive financial dashboards using Power BI and Tableau, tracking metrics such as revenue growth, deposit-to-loan ratios, and portfolio performance for executive decision-making. Built and maintained ETL pipelines automating data workflows with Python and SQL, enhancing data reliability. Developed predictive models forecasting loan default, churn, and customer lifetime value. Validated financial reports through meticulous data cleansing. Conducted customer segmentation to tailor marketing and financial product initiatives.