Saksham Singhal Email and Phone Number

Developed and deployed machine learning models for a range of applications including customer segmentation, demand forecasting, and fraud detection, resulting in a 20% increase in model accuracy.Applied advanced machine learning techniques such as gradient boosting, support vector machines, and clustering to solve complex problems across different industries.Conducted exploratory data analysis (EDA) and feature engineering on large datasets toidentify key business… Show more Developed and deployed machine learning models for a range of applications including customer segmentation, demand forecasting, and fraud detection, resulting in a 20% increase in model accuracy.Applied advanced machine learning techniques such as gradient boosting, support vector machines, and clustering to solve complex problems across different industries.Conducted exploratory data analysis (EDA) and feature engineering on large datasets toidentify key business insights.Collaborated with cross-functional teams to integrate data-driven solutions intobusiness processes, improving decision-making efficiency.Presented findings and visualizations to stakeholders using Tableau, enhancing dataaccessibility and understanding.Prepared and processed diverse datasets using data wrangling methods in Python and SQL, leveraging cloud infrastructure to optimize performance and scalability.Collaborated with data scientists, engineers, and business leaders to design and implement CI/CD pipelines for ML models, improving deployment efficiency by 30%.Built services that expose ML models for consumption by other applications, enabling seamless integration of machine learning into client systems. Show less

Performed data cleaning, transformation, and integration tasks on datasets frommultiple sources.Developed and prototyped machine learning algorithms on large-scale datasets, including predictive modeling, churn analysis, and recommender systems, achieving significant improvements in model performance.Conducted statistical analyses to support A/B testing initiatives, providing actionablerecommendations.Conducted in-depth analysis to interpret data and extract meaningful… Show more Performed data cleaning, transformation, and integration tasks on datasets frommultiple sources.Developed and prototyped machine learning algorithms on large-scale datasets, including predictive modeling, churn analysis, and recommender systems, achieving significant improvements in model performance.Conducted statistical analyses to support A/B testing initiatives, providing actionablerecommendations.Conducted in-depth analysis to interpret data and extract meaningful insights, identifytrends, generate reports, and dashboards to support business objectives.Partnered with data engineering teams to design and build data pipelines that ensured efficient data flow and model performance monitoring.Created complex SQL queries to extract, transform, and load data from various sourcesinto the data warehouse. Show less

Assisted in data cleaning and preparation of large data sets for analysis.Utilized SQL to extract, manipulate, and analyze data from relational databases.Developed and maintained regular reports and ad-hoc analyses for business units.Conducted statistical analysis on customer data to identify trends and patterns.Created engaging data visualizations, enabling clients to gain insights into their data.