I am a data scientist with extensive experience in recommendation systems, demand forecasting, and AI-powered analytics platforms. Throughout my career, I have worked on impactful projects using advanced machine learning techniques and cloud technologies to optimize business outcomes. My work involves end-to-end system design, model development, and deployment in production environments, enabling measurable improvements in revenue, customer satisfaction, and operational efficiency. I am passionate about leveraging AI and data-driven solutions to solve complex real-world problems. Skilled in Python, cloud platforms like GCP and Databricks, and modern AI tools including large language models, I enjoy collaborating with cross-functional teams to deliver innovative data science solutions that drive tangible business value.

Ashirwad Sangwan

I am a data scientist with extensive experience in recommendation systems, demand forecasting, and AI-powered analytics platforms. Throughout my career, I have worked on impactful projects using advanced machine learning techniques and cloud technologies to optimize business outcomes. My work involves end-to-end system design, model development, and deployment in production environments, enabling measurable improvements in revenue, customer satisfaction, and operational efficiency. I am passionate about leveraging AI and data-driven solutions to solve complex real-world problems. Skilled in Python, cloud platforms like GCP and Databricks, and modern AI tools including large language models, I enjoy collaborating with cross-functional teams to deliver innovative data science solutions that drive tangible business value.

Available to hire

I am a data scientist with extensive experience in recommendation systems, demand forecasting, and AI-powered analytics platforms. Throughout my career, I have worked on impactful projects using advanced machine learning techniques and cloud technologies to optimize business outcomes. My work involves end-to-end system design, model development, and deployment in production environments, enabling measurable improvements in revenue, customer satisfaction, and operational efficiency.

I am passionate about leveraging AI and data-driven solutions to solve complex real-world problems. Skilled in Python, cloud platforms like GCP and Databricks, and modern AI tools including large language models, I enjoy collaborating with cross-functional teams to deliver innovative data science solutions that drive tangible business value.

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Work Experience

Data Scientist at Tiger Analytics
April 1, 2023 - Present
Led multiple high-impact projects including developing an end-to-end recommendation system for ecommerce with a $25M revenue impact using two-tower neural networks and advanced MLOps pipelines. Built an AI-powered data analytics platform reducing analytics costs by over $2M through natural language querying and visualization. Designed intelligent upselling agents processing over 1M daily transactions increasing average order value by 18%. Implemented demand forecasting workflows optimizing inventory decisions and enabling cost reductions using Databricks and cloud-native MLOps. Technologies used include Python, Pyspark, Databricks, Kubernetes, and Google Cloud.
Senior Analyst, Data Science at Latentview Analytics
February 28, 2023 - August 7, 2025
Developed a demand forecasting pipeline for new toys using deep learning embeddings and clustering techniques deployed on Google Cloud Vertex AI, improving order fill rates by 12% and reducing $8M in stockouts. Built a hybrid hotel recommendation system for over 50M users combining collaborative and content-based filtering, achieving a 25% increase in booking conversions. Created an XGBoost-based propensity model predicting credit card adoption with 0.92 AUC and implemented interpretable ML frameworks for compliance. Led a customer sentiment analysis project using topic modeling and automated reporting, cutting manual efforts significantly.
Senior Analyst, Data Science at Tiger Analytics
August 31, 2021 - August 7, 2025
Developed price recommendation models optimizing prices of 500+ food items across locations, enhancing revenue by 15%. Built predictive store location models integrating demographic and competitor data to maximize returns with 150% ROI. Architected an Auto-ML library accelerating model development by 50% through parallel processing and comprehensive testing frameworks, including modules for outlier detection and interpretability visualizations. Technologies used include Python, Spark MLlib, and various statistical and machine learning methods.
Data Scientist at MyKarma
June 30, 2019 - August 7, 2025
Implemented customer segmentation models for an interactive TV gaming platform analyzing behavioral data of over 100K users to define distinct personas. This segmentation supported targeted marketing campaigns that increased game participation by 45% and reduced customer acquisition costs by 30%. Employed hierarchical clustering combining gameplay and engagement metrics to deliver actionable insights for business growth.

Education

Bachelor of Science (Hons.) Mathematics at University of Delhi
June 1, 2013 - May 1, 2016

Qualifications

Add your qualifications or awards here.

Industry Experience

Retail, Professional Services, Software & Internet, Travel & Hospitality, Financial Services