Ayushi Yadav

Business Development Executive

New York City, New York, United States12 yrs experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Over 10 years of experience in data analytics and ETL development.
Expert in machine learning and data quality assurance.
Proven track record in optimizing data pipelines and workflows.

Stackforce AI infers this person is a Data Analytics and Machine Learning specialist with a focus on data quality and business intelligence.

Contact

ayu021190@gmail.com LinkedIn

Skills

Core Skills

Data QualityMachine LearningEtl DevelopmentData AnalysisAutomationData ModelingData Visualization

Other Skills

Agile MethodologiesAmazon RedshiftAnalytical SkillsAnalyticsAnomaly DetectionBootstrapBusiness Intelligence (BI)Cascading Style Sheets (CSS)CytoscapeData CleaningData EngineeringData MiningData ScienceData WarehousingDatabase Design

About

I thrive at the intersection of data, business intelligence, and AI, transforming raw information into insights that drive smarter decisions. With 10+ years of experience spanning ETL development, data analytics, and anomaly detection, I’m passionate about solving complex data challenges, improving data integrity, and uncovering patterns that impact business strategy. As a Data Quality Specialist, I focus on ensuring accuracy, consistency, and reliability in data pipelines. My expertise includes SQL, Python, Tableau, Unix shell scripting and machine learning, with hands-on experience in data migrations, process automation, and anomaly detection using statistical models and Machine Learning models. Whether it’s optimizing ETL workflows, fine-tuning ML models, or building interactive dashboards, I love making data more accessible and actionable. I hold a Master’s in Information Systems from the University of Cincinnati, where I deepened my understanding of data management, business intelligence, and advanced analytics. Recently, I also completed a Machine Learning Certificate from eCornell, diving deeper into the math behind ML algorithms—reinforcing my passion for bridging data engineering, AI-driven insights, and quality assurance. If you’re working on data quality, BI, or AI-driven solutions, let’s connect—I’m always excited to learn, collaborate, and explore innovative ways to turn data into impact.

Experience

12 yrs

Total Experience

4 yrs

Average Tenure

4 yrs 10 mos

Current Experience

Charter communications

Business Intelligence Data Quality Specialist

Aug 2021 – Present · 4 yrs 10 mos · Stamford, Connecticut, United States · On-site

Developed Machine Learning models using Redshift ML and sagemaker for anomaly detection.
Anomaly Detection using statistical & ML models (XGboost) using Python.
Teradata to Redshift Migration - Worked on conversion of Teradata Stored procedures to Redshift; created python scripts, stored procs, complex queries, and Tableau dashboards for validations; EC2 set up of Python scripts; Rigorous testing, defects fixes and Prod Parallel runs.
Created and Deployed Machine learning models in Production Unix server using Oracle BIIF framework, one automation and python scripts
Data Engineering - Built up a Python library using SQL Alchemy to capture metadata related to modeling process, to ensure recreation of ML models based on the recorded metadata.
Tableau dashboards for data visualization and EDA
Data Quality - Audit reports via Teradata / Redshift stored procedures and Microstrategy
ETL Development
Data Integrity issues and Postmortem Reports

Machine LearningRedshift MLPythonAnomaly DetectionTableauETL Development+2

Jpmorgan chase & co.

Analyst

Nov 2016 – Nov 2020 · 4 yrs · Hyderabad Area, India

● Analyzed data based on user requests to generate actionable insights highlighting customer pain points and developed remedial strategies using Tableau, Excel, and SQL.
● Developed SQL-based application solutions and enhancements to meet user requirements.
● Reduced 80% of recurring data and infrastructure issues performing multiple automation in PLSQL and Shell Scripting.
● Reduced user tickets by 30% by automating critical business reports employing Unix Shell Scripting and Python.
● Conceptualized and implemented process improvement to reduce P1 incidents by 50 %.
● Trained new resources, provided technical and functional KT sessions, and worked upon multiple documentations.

TableauSQLPL/SQLShell ScriptingData AnalysisAutomation

Wipro

Senior Software Engineer

Aug 2013 – Oct 2016 · 3 yrs 2 mos · Hyderabad Area, India

● Analyzed transactional data collected over different ERP Systems, Data cleaning, modeling and filtering done using PL/SQL, Shell scripting
● Developed the dashboards using Tableau, that depicted monthly trends of sales order for Air and Marine business for British Petroleum (Client)
● Integrated data from the different ERP source systems (like SAP, JD Edwards) to the data warehousing application.
● Created UML and ER Diagrams in visio
● Built adhoc reports requested by the Users

TableauPL/SQLShell ScriptingData CleaningData ModelingData Visualization

National institute of plant genome research , new delhi

IASc Summer Research Fellow

Apr 2012 – Jul 2012 · 3 mos · New Delhi

Summer Internship
● Essential Oil Pattern Analysis for Lamiaceae and Asteraceae: A Network Approach
Plants communicate and interact with their environment in a silent yet effective way by secreting essential oil (also known as plant volatiles).
● The aim was to deduce an interesting pattern between the essential oil composition and plant organ, particular growth forms, ecologies, habitats, phylogenies, and stress.
● After scrutinizing the Journal for Essential Oil Research, it was found that the essential oil emission from two plant families, namely, Lamiaceae and Asteraceae has been widely studied and a large number of records are available for them. Network Analysis of the emission pattern of these two families was performed to draw meaningful inferences after finding a strong correlation between volatile emission and various factors like seasonal variation, geographical distribution, developmental stages, plant parts, etc.
● Methodology - Data Mining - using available journals at: http://www.tandfonline.com/.
Software - Cytoscape, Unix

Data MiningUnixCytoscape