Data Analyst Machine Learning

ADITYA GAIKWAD

551-***-**** ******.*****@*****.*** www.linkedin.com/in/adityasgaikwad

Summary

I am a Data Analyst with 4+ years of experience in harnessing the power of Python, SQL, machine learning, and data visualization. Proven track record of driving efficiency, reducing costs, and crafting exceptional user experiences across diverse industries. I am highly collaborative and adaptable, eager to leverage data expertise to solve complex problems and drive business success.

PROFESSIONAL EXPERIENCES

Data Analyst, Wayfair, USA January 2023 – Present

●Worked with large and complex datasets, using SQL to extract insights from over 10 million daily transactions, enabling real-time analysis of customer interactions and improving Wayfair customer experience. This effort contributed to a 20% reduction in delivery delays and enhanced decision-making for operational efficiency.

●Automated data workflows and routine processes using Python and R scripts, reducing manual effort by 40% and improving data pipeline efficiency by 25%, leading to faster processing and more reliable analytics delivery.

●Developed interactive dashboards and reports to communicate app performance metrics, insights, and strategic recommendations to stakeholders and management.

●Conducted A/B testing to evaluate the effectiveness of management programs, leading to a 5% improvement in patient engagement.

●Reduced SQL query run times by 50% through normalization and indexing on databases.

●Segmented users into cohorts based on traffic channels, activity levels, demographics, and language to enhance personalized marketing strategies.

●Led the design, execution, and architecture of ETL processes using DAX tools, ensuring efficiency, accuracy, scalability, and performance of the analytics platform.

●Provided data-driven insights to stakeholders, fostering informed decision-making and promoting a culture of analytical excellence.

●Implemented Agile methodologies using JIRA for efficient project management, overseeing timelines and deliverables

Data Analyst, Genpact, India January 2019 – December 2020

●Revolutionized data analytics with meticulous extraction and interpretation, employing advanced visualization for a 30% surge inactionable strategies.

●Optimized Azure Cloud SQL Server, boosting data retrieval efficiency by 25%, enhancing database performance and operational streamline.

●Designed and implemented data-driven reports using SAS and Google Data Studio, providing leadership with actionable insights on supply chain efficiency, leading to a 15% reduction in delivery delays.

●Enhanced engagement by 40% through strategic social media content and precise YouTube editing, leveraging Google and Meta Facebook Analytics for a 25% improvement in campaign effectiveness.

●Monitored app performance metrics, including load times, crash rates, and error logs, ensuring optimal user experience.

●Built predictive models in Tableau to assess patient risk factors and readmission likelihood, resulting in a 10%

●Improvement in hospital readmission prevention initiatives.

●Used Power BI and Google Data Studio to integrate multiple data sources, creating consolidated reports that improved reporting accuracy by 25% and reduced data silos.

●Automated repetitive data analysis tasks using Python scripts, increasing productivity by reducing manual effort by 50%, and applied agile methodologies to manage project timelines and deliverables effectively.

●Developed end-to-end ETL workflows using Informatics and AWS Redshift, reducing data integration time by 35% and ensuring timely availability of critical patient data for analysis and reporting.

●Implemented data governance frameworks in Informatica and AWS, improving data consistency, reducing discrepancies by 20%, and ensuring compliance with healthcare regulations such as HIPAA.

●Designed interactive dashboards and comprehensive reports using Tableau to support data-driven decision-making across the organization.

PROJECTS

Article Clustering Analysis

●Scraped climate related articles from different news websites and analyzed distinguishing sentiments of the general population of different countries.

●Preprocessed unstructured data sets, performed text vectorization for clustering data using Agglomerative clustering, DBSCAN and Gaussian mixture.

●Performed internal and external evaluation to find the best clusters and visualized the defining sentiments of different regions

.

EDUCATION

Masters of Engineering in Artificial Intelligence, Stevens Institute of Technology, Hoboken, NJ (GPA: 3.8/4.0)

Coursework: Machine learning, Deep Learning, Statistics and Probability Theory, Big Data Engineering, web mining

Bachelors of Engineering in Electronics, Mumbai University, Mumbai, IN (GPA: 3.75/4.0)

Coursework: Operating systems, Advanced Web Technologies, Computer Networks, Embedded Systems and Microcontrollers

SKILLS

Languages & Framework - Python (Pandas, NumPy, Matplotlib, Seaborn), SQL, R, NoSQL, Excel, MS Office.

Developer Tools - Power BI, Tableau, Jenkins, GitHub, MongoDB, MySQL, PostgreSQL, Py Spark, Hadoop, ETL, Scala, Agile Technologies - Data Mining, Data Cleaning, Data Visualization, Redshift, AWS Glue, AWS Sage maker, Agile, GCP Data Studio, Big Query, Alteryx, SAS, Jira, HIPAA Compliance, Data Governance

Machine Learning: Logistic Regression, Naive Bayes, SVM, KSVM, Random Forest, Association Mining, Neural Networks,

Contact this candidate