Data Analytics & Visualization, SQL, Python, Tableau, Power BI, ETL

Poojitha Srikante ************@*****.*** +1-573-***-**** Santa Clara, California

SUMMARY:

Experienced analytics professional with 7+ years in Data enablement, Visualization, and Process optimization. Skilled in scalable data modeling, ETL pipelines, and data governance. Expertise in delivering data-driven solutions by combining Business acumen, technical proficiency, and strong communication. Proven ability to collaborate with cross-functional teams, translate requirements, and deliver impactful results SKILLS:

Programming/Scripting: Python, SQL (MS SQL, Oracle PL/SQL, Teradata), Visual Basic for Applications (VBA) Data Visualization & BI Tools: Tableau, Power BI, MS Excel, SAP BEx Query Designer, Visio Data Engineering & Workflow Orchestration: Apache Airflow, Snowflake, SSIS, Alteryx, SAP BODS, SAP BW, MS Access Statistical Analysis & Experimentation: A/B Testing, Hypothesis Testing, Confidence Intervals, Regression Analysis, Statistical Modeling, Experimental Design Data Management & Warehousing: Data Modeling, ETL/ELT Processes, Query Optimization, Data Warehousing Concept Libraries & Analytical Tools: Scipy(stats), Statsmodels, Pandas, NumPy, Matplotlib, Seaborn, Plotly, Sqlalchemy Tools & platforms: Visual Studio Code, Docker, Anaconda, Jupyter Notebooks, Git EXPERIENCE:

Self-Led Data Analytics Learning & Certification Jan 2024- Present

• Completed ‘IBM Data Science Professional Certificate’ (Coursera), covering: Data Science tools & methodology, Python for Data Science, AI & Development, Python Project for Data Science, Databases & SQL for Data Science with Python, Data Analysis & Visualization with Python, Machine Learning and Applied Data Science Capstone.

• AI Python for Beginners (DeepLearning.AI): Gained hands-on experience using Python to interact with large language models (LLMs) via APIs, applying prompt engineering techniques to build AI-powered applications such as custom recipe generators, smart to-do lists, and vacation planners. Leveraged APIs to fetch real-time web data and integrated Python with AI tools for data manipulation, analysis, visualization, and automation workflows

• AI for All: From Basics to Generative AI Practice (NVIDIA): Developed a strong understanding of core AI concepts, terminology, and ethical considerations. Explored practical applications of Generative AI and capabilities of GPU computing in AI workflows

• Currently pursuing ‘Google Advanced Data Analytics Certificate’ (Coursera); completed modules on Python, Exploratory Data Analysis, Power of Statistics and Regression Analysis; expected completion within 1 month.

• Learning Apache Airflow via online resources (Academy.Astronomer, airflow.apache.org) and practicing pipeline automation; currently progressing through Udemy/Astronomer certification.

• Advanced Power BI skills: Performance optimization using complex DAX & query folding techniques, load balancing, row-level calculations, scalable data modeling, automation of complex ETL processes using Power Query M, data security with row-level security, and cloud data warehouse integration.

• Enhanced Tableau expertise: Implemented LOD expressions, table calculations, dynamic dashboards with parameter actions, custom visuals (radial charts, Sankey diagrams), dashboard optimization, Data governance & compliance via user filters and row-level security.

• Self-taught A/B testing: Designed experiments, interpreted results using hypothesis testing and confidence intervals; completed personal project with Python and statistical analysis.

• Strengthened analytical thinking and problem-solving skills by applying a structured approach to real-world business case studies. Improved SQL and Python proficiency through hands-on practice on platforms like LeetCode and InterviewQuery. Business Analysis Manager - T-Mobile, Overland Park, Kansas May 2023 – Nov 2023

• Extracted, transformed, and aggregated data to develop dashboards for operational reporting and performance management of Prepaid data. Insights supported business processes, marketing campaigns, sales strategies, and offer creation, driving new line activations, customer additions, and churn reduction

• Designed various metrics and KPI scorecards for leaderboard visualizations in Power BI using DAX/Power Queries. Tracked employee performance through quartile rankings, incentivized front-line employees, managed gaps in voice/chat metrics, and motivated agents to achieve business objectives by providing excellent customer service

• Collaborated with cross-functional stakeholders to address business challenges, escalations, and KPI fluctuations by delivering data-driven solutions. Developed executive-level presentations, communicated complex analytical insights, and identified root causes for corrective action

• Enhanced and maintained legacy dashboards by updating requirement changes, resolving technical issues, establishing efficient data repositories on a local server, and improving report performances. Enabled faster access to critical information, streamlined operations, and accelerated issue resolution

• Developed and implemented comprehensive data quality processes, including profiling, cleansing, validation, standardization, and monitoring, ensuring accuracy and reliability across dataflows for informed decision-making. Ensured data security and privacy by implementing row-level security and role-based access control (RBAC) in Power BI. Managed workspace permissions based on roles and teams’ relevancy, safeguarding sensitive information

• Optimized query performance by leveraging indexes, partitions, and analyzing query execution plans to identify bottlenecks. Monitored dashboard performance using Performance Analyzer and improved data handling for large datasets through incremental refresh and query folding techniques Senior Analyst Ops Insights - T-Mobile, Overland Park, Kansas June 2018 – May 2023

• Designed, managed, and presented a weekly operations dashboard to monitor porting metrics, KPI targets, and ticket statuses for business and vendor teams. Facilitated discussions on challenges and workarounds, identified metrics for further investigation, conducted root cause analysis, and documented key business communications and actionable feedback to improve vendor performance

• Developed Python scripts to extract and transform customer feedback data from multiple sources, including API integrations, into a centralized platform, delivering actionable insights into the Metro by T-Mobile customer experience

• Resolved discrepancies in incentive payouts for call center representatives by analyzing transactional data on orders and returns. Enhanced sales dashboards with comprehensive information, rectified incentive plans, and deterred fraudulent activities

• Built SSIS scripts with merge logic to integrate periodic flat file data into reporting tables. Leveraged this data to create automated dashboards, reducing manual intervention, standardizing processes, and significantly improving response times

• Spearheaded strategic reporting initiatives during the T-Mobile and Sprint merger by developing porting reports, mapping and analyzing data, and advising IT teams on incorporating key data fields into frontend systems. Leveraged these dashboards to reduce fallouts, enhance porting efficiency, and improve overall operational performance

• Developed PL/SQL functions, procedures, and tables to segregate Boost and T-Mobile data during the divestiture, ensuring data security and regulatory compliance. Restricted access to Boost-related data and dashboards, safeguarding competitively sensitive information and mitigating legal risks

• Successfully migrated an application hosted on Apache server software from an outdated Microsoft Windows OS to a newer version by collaborating with IT and DBA teams. Updated backend queries, EXE & Access MDB files, and directory structures. Led phased testing to ensure proper connectivity to the Oracle database, functionality of reporting websites, compliance with SSL certificates, and the successful execution of scheduled batch jobs and Control-M jobs

• Owned the Oracle reporting database for port-related information, overseeing maintenance, troubleshooting daily data loads and automated reports, ensuring data accuracy and timeliness. Maintained detailed system documentation to support operations

• Standardized legacy organization reports to Power BI format following the merger, streamlining reporting processes and eliminating manual weekly/monthly report generation. Trained users to adopt new BI tools, ensuring continuous availability of dynamic dashboards Process and Analytics Intern - Sprint, Overland Park, Kansas May 2017 - August 2017

• Designed and implemented Python scripts for automated data cleaning, transformation, and loading customer data into SQL databases, streamlining data management. Managed employee database systems by rectifying discrepancies in job role-profile assignments, ensuring data integrity

• Utilized Google Maps API integration in Python for geocoding customer addresses, validating address details, resolving ambiguities, and appending latitude/longitude information for accurate geolocation Programmer Analyst - SAP BI Consultant (Team Lead) - Cognizant, Bangalore, India January 2014 - May 2016

• Designed, implemented, and maintained SAP BW solutions and data models to support client data analysis and reporting needs, driving efficient data management

• Detected flaws in SAP BW data models, optimized intermediate processes, enhancing project delivery timelines. Managed daily/weekly/monthly process chains, ensuring timely data loading, resolving process chain failures to provide accurate data

• Led Quality Assurance efforts, validating functional and technical specifications, defining test cases, ETL processes, Bex queries and data consistency across environments. Trained and mentored 30 new team members in testing, stakeholder collaboration, and preparation of comprehensive test reports

• Created and optimized queries in SAP BEx Query Designer to provide actionable insights, enhancing supply chain efficiency, sales performance, and inventory planning

EDUCATION:

Ottawa University, Overland Park, Kansas Executive MBA- Information Technology June 2021 University of Missouri, Columbia, Missouri Master of Business Administration in Data Analytics May 2018 Nitte Meenakshi Institute of Technology, Bangalore, India Bachelor’s in Engineering in Electronics & Communication May 2013 CERTIFICATIONS:

• AI for All: From Basics to GenAI Practice NVIDIA Mar 2025

• AI Python for Beginners DeepLearning.AI Dec 2024

• IBM Data Science Professional Certificate- Python Coursera Jun 2024

• Power BI- DAX, ELT, Visuals Skillsoft Aug 2022

• Data Preprocessing, EDA, Normalization, Performance Skillsoft Aug 2022

• Correlation, Regression, Hypothesis testing Skillsoft Aug 2022

• Marketing Analytics Certification University of Missouri May 2018

• Tableau Desktop Qualified Associate Tableau Oct 2017 AWARDS AND RECOGNITIONS:

• T-Mobile/Sprint - 2 Impact Awards for successful server migration

• Cognizant – Spot Award for performance exceeding expectations

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