Data Analyst Machine Learning

Vaishnavi Shamsundar

*********************@*****.*** 617-***-**** Dallas, TX LinkedIn

SUMMARY

Strategic and results-driven Data Analyst with over 4 years of experience in transforming complex data into actionable insights. Adept at analyzing both structured and unstructured data, applying advanced data mining techniques, and leveraging predictive models and machine learning algorithms to solve intricate business challenges. Committed to continuous learning and applying cutting-edge technologies to drive data-driven decision-making and contribute to organizational growth. SKILLS

• Languages: Python, SQL, R, C, C++

• Technologies: Predictive Modeling, Software Development (Agile), SAAS, ETL, ML, Statistics, LLM, Calculus, A/B Testing, Data Lake, Big Data Processing (Hadoop, Apache Spark, Apache Hive, Apache Flink, Apache Kafka, Sqoop), Time Series Analysis (ARIMA), Natural Language Processing (NLP) with NLTK, System Design, Data Warehousing (Snowflake, Redshift, Google BigQuery), Data Integration (Apache Nifi), Data Modeling (ER/ Studio, PowerDesigner), NoSQL

• Tools and Software: Microsoft Azure, AWS, Google Cloud, Jupyter, PyTorch, Snowflake, MS Excel, MySQL Server, PostgreSQL, Oracle, MongoDB, Redshift, Jira, Apache Airflow, Talend, Informatica, Microsoft SSIS, PyCharm, RStudio, Git, GitHub, GitLab

• Data Visualization: Tableau, Power BI, QlikView, Matplotlib, Seaborn, Plotly, D3.js, Shiny (for R), Dash (for Python), GeoPandas, Folium, QGIS, DAX

EXPERIENCE

Data Scientist Guidewire Software, San Francisco, Remote US Feb 2023- Present

• Developed and optimized WildFire 2.0 model using GLM and Python, boosting client engagement and product adoption by 90%.

• Executed seven Proof of Value projects, leading to an 86% client adoption rate.

• Streamlined Proof of Value process by automating software, reducing completion time from two weeks to two days, enhancing efficiency and customer satisfaction.

Associate Product Analyst Coop Homesite Insurance, Boston, US July 2021- Dec 2021

• Presented analysis that improved production line efficiency by 4 ms and reduced cancellation policies in an Agile environment.

• Developed a real-time Tableau dashboard, forecasting customer statistics and predicting payment cancellations for 2M records.

• Performed statistical programming on 110,000+ data rows, cleaning and visualizing with Tableau to prepare for analysis. Data Science Analyst Conspek Engineering Solutions, Bengaluru, India Jan 2019 - Aug 2020

• Architected data models by gathering business requirements and aligning them with strategic goals.

• Developed and tested 50+ strategies using Python, Power BI, OpenCV, and SQL, optimizing solutions and reducing cost and time.

• Executed data mining on 1 million records, achieving a 92% accuracy linear regression model. Associate Software Engineer Trainee Accord Software Systems, Bengaluru, India Jul 2018 – Aug 2018

• Designed and executed unit test cases for high-quality deliverables, ensuring thorough testing flow charts for each module.

• Strategized and developed test cases independently, resolved critical issues, and demonstrated comprehensive outcomes.

• Analyzed and reported test results to stakeholders, ensuring quality and accountability in each release. EDUCATION

MS in Analytics Northeastern University, Boston, USA Aug 2020 - Jul 2022 GPA: 3.8/4.0

BE in Information Science Visvesvaraya Technological University, Belgaum, India Aug 2014 - May 2018 GPA: 8.7/10

PROJECTS

Northeastern University CPS student attrition (Python, PowerBI) Jan 2022 - Apr 2022

• Implemented regression and optimization models such as Logistic and SVM to identify features impacting retention rate.

• Helped CPS Faculty in improving the student’s performance by building an optimized model with 92% accuracy.

• Identified the root cause problems which affected 4000 students in a period of 3 years. IBM HR Employee Attrition and Performance (Python, R, MySQL, Power BI, Tableau) Jan 2021 - Feb 2021

• Implemented regression model like LASSO using R to analyze parameters affecting employee attrition.

• Performed EDA and tuned few parameters to get the optimized results using regularization in python.

• Designed a better machine learning model by reducing attrition rate with increased accuracy of 90% from 60%.

Contact this candidate