Data Analyst Customer Service

Siri Kademani ********@***.***

Tempe, AZ. 602-***-**** www.linkedin.com/in/sirimk/

SUMMARY

Data analyst with 4 years of experience in business intelligence, data visualization, and data mining. Expertise in SQL, Python, Tableau, and Qlik Sense. Strong background in data processing, analytics, and insight generation. Certified in SnowPro Core and Tableau Desktop.

EDUCATION

W. P. Carey School of Business at Arizona State University August 2022 – May 2023 Master of Science in Business Analytics (MSBA) CGPA: 4.20/4.33 Tempe, AZ

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) CGPA: 7.25/10.0 Hubli, India

PROFESSIONAL EXPERIENCE

Data Analytics Intern January 2023 – May 2023

Axon Scottsdale, AZ

Devised a robust binary classification model for text categorization, utilizing Natural Language Processing (NLP) techniques.

Successfully automated the time-consuming task of manually categorizing customer reviews. This resulted in significant time savings, sparing our team from two days of arduous manual work, and freeing up valuable resources for more strategic initiatives.

Led the development of Tableau dashboards to present KPIs such as Avg. Promotors, Detractors and Neutrals Net Promoter Score[NPS].

BI developer November 2021 – May 2022

Kipi.bi Bangalore, India

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. Initiated a new team of Tableau experts, administered webinars and managed multiple Snowflake, and Tableau trainings.

Business Intelligence Analyst May 2020 – December 2020

Accenture Bangalore, India

Created an Alation catalog as data stewardship tool, cataloging different data types, including 401K data, to enable easy access and utilization across organization for financial services, Wealth management and Personal Investing client.

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.

Enhanced Qlik Sense dashboards by incorporating business-driven features, solving errors, and automating reporting, resulting in streamlined operations and improved decision-making.

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 July 2018 – April 2020

Accenture Bangalore, India

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.

PROJECT EXPERIENCE

Restaurant Revenue Prediction, ASU: Implemented Random Forest, Decision Tree and XGBoost regressor and ensemble stacked model, after preprocessing dataset of 1 lakh instances to annual sales revenue of restaurants based on KPIs.

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 strategy.

Parking lot space detection counter: Built a model using Computer Vision for image classification of parking lots by plotting bounding boxes around the cars.

SKILLS AND ACTIVITIES

Programming: SQL, Python [Pandas, NumPy, NLTK, SpaCY, Matplotlib, TensorFlow, Keras], Bash scripting.

Tools and software: Snowflake, RDBMS [Oracle, MySQL], Tableau, Qlik sense, JIRA, GitHub, Microsoft (Word, Excel, PowerPoint).

Key Skills: Data Visualization, Data Manipulation, Machine learning, Insights generation, SDLC methodologies [Scrum - Agile, Waterfall]

Certifications: SnowPro Core Certification, Tableau Desktop Specialist, Udemy’s Statistics for Business Analytics and Data Science.

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