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Ani Chitransh

Data Scientist/Analyst/ML Engineer proficient in data modeling, AI, NLP & Deep Learning.

Based in Tucson

About

●Data Scientist with over 5+ years of experience in predictive modeling, data integration, & analytical reporting, leveraging Python, R, SAS, & SQL along with data science tools like pandas, Scikit-Learn, and NumPy, facilitating Excel & Tableau in business operations and data-driven decision-making by 20%. ●Working experience with data warehousing & ETL pipelines using Hadoop, Hive, AWS RedShift, Spark, & Airflow, enhancing data extraction & manipulation efficiencies across cloud platforms including Azure, Google cloud up to 15%. ●Proficient in implementing machine learning, Gen AI & NLP techniques such as A/B testing, time series, regression models,& gradient boosting, improving predictive accuracy.

Skills

Projects

Experience

Aug 2022- Aug 2023

Graduate Assistant - (Part-Time) at University of Arizona

Mastered agile tools for tracking projects, build student portals using SQL & Python scripting, increasing data quality by 30%. Facilitated in preparing GitLab & cloud technologies, identified trends & patterns in large data sets, helped in production and A/B testing of ML models to forecast solutions.

Jan 2020 - July 2022

Junior Data Scientist at Microsoft

Implemented advanced predictive modeling techniques using Azure Machine Learning to forecast product demand, achieving a 90% accuracy rate & reducing overstock by 18%, delivered business intelligence solutions developing & maintaining Power BI dashboards. Engineered complex ETL pipelines using Airflow & SQL to streamline data flows across systems, Microsoft SSRS for data reporting, leading to a 25% improvement in data processing efficiency. Orchestrated machine learning algorithms including regression, classification, & time series to address specific business challenges, integrated advanced Neural Network & LLM solutions to automate & enhance the accuracy of financial document analysis.

Jan 2019 - Dec 2019

Data Analyst at Zensar Technologies

Spearheaded a churn analysis project utilizing user engagement data using SQL reducing customer attrition rates by 14%, utilizing ggplot2 in R Studio for advanced data visualization to identify key trends and correlations between variables. Administered inventory & sales data for over 450 dealers, deployed ML models to control processes & outcomes, & utilized predictive analytics for enhancing demand forecasting, inventory management, & improving customer satisfaction. Designed a comprehensive data warehouse in AWS Redshift for a General Ledger Reconciliation report via PowerBI, achieving a 30% improvement in financial analysis efficiency via controlled data integration and KPI tracking. Mastered customer segmentation process using advanced SQL queries to analyze and segment.

Jan 2024 - Nov 2024

Data Scientist at Bank of America

Managed a predictive analytics model refining customer retention strategies using R & Python, achieving a 15% increase in revenue, created Tableau dashboards to communicate to stakeholders for strategic decisions. Optimized an ML loan approval process, integrating TensorFlow & PyTorch on AWS SageMaker, predicting default probabilities using time series forecast by 25%, customized LLM prompts to optimize response time for customer service interactions. Developed SQL scripts to extract & clean large datasets from BigQuery improving risk assessments by 10%. Enhanced data processing capabilities & deployment times by 30% through deep learning algorithms to optimize large datasets on Airflow & PostgreSQL.

Dec 2024 - Present

Data Scientist II at Credit One Bank

Education

2022-2024

Master of Science in Data Science

Graduate student at the University of Arizona majoring in Data Science. I am set to graduate in May 2024.

2015-2019

Bachelor of Technology in Instrumentation & Control