Sep 2024 – May 2025 · 8 mos · Bengaluru, Karnataka, India

• Developed machine learning models using Airflow, Spark, and CI/CD pipelines for adtech team at Walmart Global Tech.
• Built interactive dashboards using Trino to visualize data insights and optimize ad campaigns.
• Collaborated with cross-functional teams to enhance ad targeting strategies and improve ROI.

Feb 2023 – Aug 2024 · 1 yr 6 mos · Suwanee, Georgia, United States

• Awarded a transformation initiative, training a team of 20 on Agile methodologies and tools, resulting in a 15% increase in project delivery speed and a 20% reduction in defects.
• Enhanced operational efficiency by integrating Spark scripts for real-time analytics; liaised ETL processes using Hadoop, PySpark resulting in a 30% increase in revenue.
• Conducted in-depth research on the adoption of transformer based LLMs such as GPT for natural language generation, evaluating scalability and performance for text summarization tasks using RAG

Sep 2022 – Dec 2022 · 3 mos · Irvine, California, United States · Remote

• Guided and transformed a robust Time Series pricing strategy based on TensorFlow; budgeted pricing structures, which led to a 20% boost in profit margins within six months.
• Formed a comprehensive product pricing analysis using Tableau increasing profitability by 30% through strategic pricing adjustments; refined pricing model based on customer feedback and market trends.
• Initiated end-to-end E-Commerce solution, integrating XGBoost, Random Forest for predictive analytics, resulting in 40% faster data processing and reduced storage costs by 25%.

Jun 2022 – Aug 2022 · 2 mos · New Jersey, United States

• Created minimal viable product (MVP) in Salesforce CRM for 10M Patients analyzing and predicting using Rest API, Kubernetes.
• Led the implementation of automated predictions using Statistical and Regression Modeling techniques; Visualized using Tableau, revamping a scalable model via Microsoft Azure ML, resulting in a 50% improvement in accuracy and saving 120+ hours per week.
• Engineered a deep learning solution using Python and SQL to analyze historical data, driving actionable insights for the team in JIRA

Oct 2021 – Jan 2023 · 1 yr 3 mos · Irvine, California, United States

• Effected CI/CD to streamline model training and deployment processes, reducing deployment time by 40% and enabling seamless scaling of machine learning applications across platforms.
• Upgraded the development of a personalized NLP system based using NLTK, BERT; expanded customer engagement and boosted repeat purchases by 25%.

Feb 2021 – Sep 2021 · 7 mos · Gurugram, Haryana, India

• Revised a team in conducting comprehensive correlation testing across various customer touchpoints, optimizing pricing strategies and enhancing user experience using confidence intervals; the initiative led to a 40% reduction in customer churn rate.
• Controlled a cross-functional team in the migration of data from AWS to GCP, ensuring data integrity and availability for BI visualization; project completed 2 months ahead of schedule and reduced data retrieval time by 50%.

Sep 2020 – Nov 2020 · 2 mos · Gurugram, Haryana, India

• Awarded and executed innovative learning programs for team members on media analytics and modeling techniques; unified team proficiency in Causal and Bayesian Inference, leading to enhanced campaign performance.
• Scheduled data warehouse performance by fine-tuning queries and indexing strategies using SQL resulting in a 40% reduction in query execution time and promoted overall system efficiency

Jul 2020 – Sep 2020 · 2 mos · New Delhi, Delhi, India

• Directed and mentored a team of five data engineers, leveraging JIRA to optimize project processes for speech analysis using 10M Geospatial Data and MySQL. Enabled efficient A/B testing implementation, leading to valuable insights and recommendations.
• Refined the power of TensorFlow on PySpark, Keras to attain a remarkable 93% accuracy in speech regulation using Bayesian Statistics, ensuring compliance, and fostering effective communication with Clients, further deploying model on AWS Sage maker.

Jun 2020 – Aug 2020 · 2 mos · Gurgaon, Haryana, India

• Managed team of ten interns, conducting market research and competitive analysis to work with unstructured data.
• Automated employee promotion process: predicted and mined salaries, analyzed criteria, and obtained data using NoSQL.
• Applied linear regression to predict if salary above/below certain threshold and correlate commonalities between all dataset categories.
• Summarized results in Python using SQL, achieving 96% accuracy.
• Conducted exploratory data analysis using machine learning libraries such as seaborn, matplotlib, NumPy, and pandas.