Ameya Kokate

Ameya Kokate Email and Phone Number

Lead Data Science Analyst @ HonorHealth
Texas, United States
Ameya Kokate's Location
Dallas-Fort Worth Metroplex, United States, United States
Ameya Kokate's Contact Details

Ameya Kokate work email

Ameya Kokate personal email

About Ameya Kokate

🔍 Who am I?A dynamic and detail-oriented Data and Analytics Engineer with over five years of data analysis, modeling, and visualization expertise. Proficient in leveraging tools like SQL, Python, R, Tableau, and Power BI, I specialize in transforming complex datasets into clear, actionable business insights.🚀 What I DoI am adept at employing advanced statistical and machine learning techniques to drive data-driven decision-making, demonstrating a solid process optimization and improvement record. My background includes engineering efficient dashboards in Tableau, employing robust SQL queries for data modeling, and utilizing Python for in-depth data analysis and forecasting.🎓 Educational BackgroundHolding a Master of Science in Business Analytics from The University of Texas at Dallas and a Bachelor of Engineering in Computer Science, I blend academic rigor with practical experience to deliver impactful business solutions.🌐 Current RoleAt Honor Health, I am a Sr. Data and Reporting Analyst contributing significantly to business intelligence, data architecture design, and predictive analysis. I am known for my collaborative approach, working alongside cross-functional teams to enhance data accessibility and drive insightful business decisions.🔑 Skills and ExpertiseData Analysis & VisualizationBusiness IntelligenceSQL, Python, R, Tableau, Power BIAgile MethodologyPredictive Analytics & Machine Learning💡 Looking ForwardI am always keen to connect with data science and business analytics professionals. Whether it's discussing the latest trends in data analytics, exploring potential collaborations, or simply expanding our professional networks, feel free to reach out!

Ameya Kokate's Current Company Details
HonorHealth

Honorhealth

View
Lead Data Science Analyst
Texas, United States
Website:
honorhealth.com
Employees:
9138
Ameya Kokate Work Experience Details
  • Honorhealth
    Lead Data Science Analyst
    Honorhealth
    Texas, United States
  • Honorhealth
    Senior Data Analyst
    Honorhealth Feb 2024 - Present
    Scottsdale, Az, Us
  • Principal Financial Group
    Data And Reporting Analyst
    Principal Financial Group Sep 2023 - Jan 2024
    Des Moines, Iowa, Us
    • Engineering dashboards using Tableau and backend MS SQL servers and data queries to enable efficient data source monitoring to display financial KPIs and identify patterns and key drivers in the business to provide actionable and timely insights to stakeholders.• Collaborated with solutions architects and developers to build reusable data views aligned with the business goals, leading to a 30% increase in process optimization opportunities identified through data analysis and business intelligence.• Leveraged Python packages like ARIMA to perform quantitative and qualitative analysis to support decision making processes, including risk trend analysis, time series forecasting and performance monitoring improving overall performance and revenue by 8%.• Performing data modelling using advanced SQL queries and ETL methodology in Snowflake to collate data from various sources and create analysis-ready datasets to provide analytical support and ensure data accuracy, creating Tableau dashboards to provide insights on multiple KPIs.• Analyzing complex business problems using data from internal and external sources to identify and interpret trends in datasets by following Agile methodology and creating documents and reports to provide critical insights to management and stakeholders.
  • Nationwide
    Data Analyst Intern
    Nationwide May 2022 - Dec 2022
    Us
    • Performed data modelling using advanced SQL queries and ETL methodology in Snowflake to collate data from various sources and create analysis-ready datasets to provide analytical support and ensure data accuracy, creating Tableau dashboards to provide insights on multiple KPIs.• Analyzed 5M accounts across 8 products to develop a scalable time-series forecasting model with 85% accuracy using regression analysis in Python and Databricks to predict sales and assist in designing marketing campaigns and strategies, increasing sales by 50K annually.• Implemented data modeling using SAS PROC-SQL and Power-BI to provide analytical and QA/QC support to ensure accuracy and develop insurance valuations for customer segmentation, providing insights to assess risk and identify market opportunities, driving underwriting efficiency.• Designed and developed a centralized, automated decision analysis tool in Power-BI to support performance monitoring of KPIs using superset visualizations to analyze trends, display real-time statistics, and identify areas of opportunity, thereby improving ramp-up reporting. • Collaborated with cross-functional teams to analyze existing systems, propose algorithms and processes, and create flowcharts, dashboards, and presentations, acting as a liaison between stakeholders and data architects.
  • Kantar
    Data Analyst
    Kantar Jun 2018 - Jun 2021
    London, Gb
    • Designed and developed scalable and robust data architectures that support business intelligence and reporting needs, including data modeling, data warehousing, and data governance to assist in drawing actionable insights from demographic and behavioral data.• Created custom view dashboards and advanced real-time visualizations using Power-BI to track and monitor KPIs and display statistical analysis and success metrics resulting in a 20% increase in efficiency and accuracy and reduce manual reporting time by 50%.• Leveraging CRM tools (Salesforce) and Tableau to deliver actionable insights and break down complex business problems into actionable insights, design analysis to drive insights and answer critical questions.• Assisted solutions architect and data scientists in ML model building by leveraging Python packages like Scikit, TensorFlow, etc. and providing statistical analysis on customer and transactional datasets to increase product reach.• Utilized data mining and statistical techniques to gather data on targeted variables by validating sources, querying, merging, and extracting data from the data warehouse (AWS Redshift & S3) to develop hypotheses and perform root cause analysis supporting A/B testing experiments.• Presented data analysis findings to stakeholders through engaging and informative presentations, increasing visibility into business performance and decision-making by 25%.
  • Oval Softtech
    Data Analyst
    Oval Softtech Jun 2017 - May 2018
    • Developed business process models using Waterfall methodology to document existing and future business processes.• Employed Matplotlib for creating various types of visualizations, including line plots, bar charts, histograms, and scatter plots, to effectively communicate insights from data.• Leveraged PyCharm as a dedicated IDE for Python development, offering advanced coding assistance, code navigation, & integrated testing capabilities.• Developed programs for manipulating arrays using libraries like NumPy, Pandas, Matplotlib, and Python.• Utilized VLOOOKUP to merge datasets from multiple sources to create visual representations of data through charts, graphs, and dashboards to ensure comprehensive and accurate analysis.

Ameya Kokate Education Details

  • The University Of Texas At Dallas
    The University Of Texas At Dallas
    Data Science
  • Savitribai Phule Pune University
    Savitribai Phule Pune University
    Computer Science

Frequently Asked Questions about Ameya Kokate

What company does Ameya Kokate work for?

Ameya Kokate works for Honorhealth

What is Ameya Kokate's role at the current company?

Ameya Kokate's current role is Lead Data Science Analyst.

What is Ameya Kokate's email address?

Ameya Kokate's email address is am****@****job.com

What schools did Ameya Kokate attend?

Ameya Kokate attended The University Of Texas At Dallas, Savitribai Phule Pune University.

Who are Ameya Kokate's colleagues?

Ameya Kokate's colleagues are Kathleen Wetzel, Christopher Cook, Sheryl Paglier, Caroline Murphy, Jodi Verleger, Shrm-Scp, Nicholas Pumilia, Carol Shoemaker.

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