Siri Kademani

Data Engineer with 5 years of experience in data engineering, business intelligence and data science
Expertise in SQL, Python, Tableau, and Qlik Sense. Certified in SnowPro Core and Tableau Desktop.
M.S. in Business Analytics from W.P. Carey School of Business at Arizona State University.
Strong background in data processing, analytics, and insight generation.

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What I can do

Proficient in utilizing tools and languages such as SQL, Python, Snowflake, Alation, JIRA, Microsoft Office, Tableau, and Qlik Sense.

  • Programming
    SQL, Python, HTML, Bash
  • Data Visualization
    Tableau, QuickSight, Qlik Sense, EDA using Matplotlib, Plotly
  • Machine Learning
    Descriptive/Predictive Analytics, NLP, Deep Learning, Libraries: Scikit learn, Pandas, Numpy
  • ETL Platforms
    Alteryx, Datanet, Cradle, Snowflake
  • Databases
    AWS Redshift, Google Big Query, MS SQL Server, Oracle
  • Project Management
    Agile, Waterfall Methodology using JIRA,Cross-functional Collaboration
  • Decision Modeling, Simulation & Optimization Problems
    Microsoft Excel's Solver, Risk and Precision tree tools
  • Statistics
    Linear/ Logistic Regression, A/B testing, Multi-variate testing, Clustering, Hypothesis testing
  • Key Skills
    Dimensional Modeling, Data Analysis, Unit Testing, Data cataloging using Alation
  • Automation tools
    Cron Job

Education

W. P. Carey School of Business at Arizona State University

August 2022 - May 2023

Master of Science in Business Analytics (MSBA) | CGPA: 4/4

Coursework: Enterprise analytics, Marketing Analytics, Lean Six Sigma, Quality Management, Descriptive and predictive analysis using ML, Natural Language processing, Deep Learning, Analytical Decision Making, Statistics.

B.V. Bhoomaraddi College of Engineering and Technology

July 2014 - May 2018

Bachelor of Technology (Computer Science Engineering) | CGPA: 7.25/10.0

Professional Experience

Business Intelligence Engineer

Amazon

Feb 2025 - Present
  • Building automated and scalable data pipelines.
  • Fetching insights using analytics for seller central/vendor central application by cross collaborating with stakeholders.

Business Analyst-Seller Trust

Amazon

July 2024 - Feb 2025
  • Collaborated with product and tech to track Seller engagement with DYK launch via reporting for all Sellers in scope of GPSR, providing stakeholders with valuable insights into seller engagement and potential SX improvements. Through deep-dive analysis of low post-launch engagement, the team identified a critical issue stemming from upstream 'home pod region' changes that prevented the DYK widget from displaying to 50% of sellers (981K), demonstrating the value of data-driven problem-solving in feature rollouts.
  • Saved 50% downtime by building pro-active alarms for the existing data pipelines to avoid any failure/false reporting.
  • Worked cross-functionally to create and integrate an alternative W8-BEN [an tax compliance initiative WW] reporting solution into the existing de-risking dashboard, enabling centralized tracking of Seller Journeys for AEF-onboarded initiatives (except DAC7) and demonstrating agility in addressing urgent business needs.
  • Dialed Up 30K sellers for DAC7 [an EU Tax compliance initiative] and analysed the strategic seller impact on de-risking, In scope sellers to AEF that consisted of Account health dashboard (AHD) and Account Health Rating (AHR).

Data Engineer

Gainwell Technologies

Feb 2024 - June 2024
  • Maintaining and enhancing data pipelines using Data stage.
  • Executing test cases in ALM for the Medicaid provider and manager websites led to a significant 20% improvement in website functionality and reliability.
  • By identifying and addressing potential issues proactively, I not only enhanced user experience but lso bolstered confidence in the websites' performance, ultimately driving greater satisfaction and efficiency for users.

Volunteer Research Assistant

Arizona State University

June 2022 - Present
  • Converted Excel Simulation, Optimization, Solver models to python scripts.
  • Optimized the Python code using NumPy braodcasting method to execute larger iterations.

Business Intelligence Engineer

Kipi.ai.

November 2021 - May 2022
  • Created a datapipeline to generate sales report and insights using Alteryx. Used Alteryx to clean, merge, parse and transform the data from CSV files.
  • Collaborated with ‘Data Extract’ team to gather, clean data operating python libraries and performed dimensional modeling to build Snowflake schema by constructing facts and dimension tables on Snowflake.
  • Mentored team of 4 Tableau developers to yield insights and track KPIs such as Profit, Sales, Turnover rate by developing dashboards.Also created OTT platform Analysis to track metrics such as # of visitors, click through rate and Ad Campaign result dashboards.
  • Leveraged Blasmiq tool for wireframing. Resulting dashboards enhanced stakeholder understanding, and achieved 50% reduction in data processing time, optimizing efficiency of pipeline key metrics.

Business Intelligence Analyst

Accenture

May 2020 - December 2020
  • Created an Alation catalog as data stewardship tool, cataloging different data types, including 401K data, to enable easy access and utilization across organization.
  • Facilitated informed decision-making with data cataloging, resulting in 23% improvement in data-driven processes. Empowered Analytics teams with easy access to valuable insights and leading to 40% reduction in time spent searching for relevant data.
  • Eliminated 5-6 hours of manual work by automating weekly & monthly report generation deploying bash scripting and Cron Job, leading to time savings of approximately 90% and increased productivity.

Associate Data Analyst

Accenture

July 2018 - April 2020
  • Executed end-to-end ETL UAT testing & monitored GCP Composer scheduling, promptly resolving any errors or bugs encountered.
  • Employed Google Cloud Shell for efficient data import and export from Google Cloud Storage. Headed maintenance of weekly scheduling process, ensuring smooth operations, and settling any issues to guarantee error-free report generation.

Projects

Customer Categorization for NPS Prediction - Axon Capstone Project, ASU

Devised binary classification model for text categorization using NLP based on customer reviews to avoid manual classification to save 2 days of manual work. Led a team to formulate Tableau dashboards and presented before and after insight results to client.

Market Analysis for Zomato's Expansion to the US

Propounded market-entry methods for expansion of Zomato in USA by conducting market analysis using data from competitors. Employed techniques like scraping Reddit data with PRAW library, data pre-processing, and LDA modeling. Identified topics such as delivery speed, customer service, and app features to devise launch strategies

Parking Lot Space Detection

Developed a Parking Lot space detector and counter using Computer Vision

Analysis on violence against women

Constructed Tableau dashboards to analyze causes for violence against women across world.

Visualizations

Sales Analytics Dashboard

Customer NPS Overview Dashboard

Customer NPS Cost Category Dashboard

Root Causes for Violence Against Women

Certifications

Generative AI for Beginners

Issued on July 2025 by Udemy

Tableau Desktop Certification

Issued on January 2022 by Tableau

Alteryx- The Complete Masterclass

Issued on September 2023 by Udemy

SnowPro Core Certification

Issued on April 2022 by Snowflake

HackerRank logo SQL Advanced Skill Assessment

Issued on June 2023 by HackerRank

Statistics for Business Analytics and Data Science A-Z™

Issued on July 2023 by Udemy

Hobbies

Loves creating art, journaling, cooking delicious vegetarian meals, running, and discovering new places!

Apart from being a Data Enthusiast, I enjoy spending most of my time in doing Art work called 'Mandala'.
Recently, I am focusing on improving my problem solving abilities by involving myself in solving problems using SQL, Python.
I have also started to enjoy cooking vegeterian meals at Home during my free time.

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