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Information Technology - Technical Professional of the Year
(Gold Winner)

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#TBA02923

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Paid

PO Created Date

2024-06-19 21:02:50

Paid Date

2024-06-19 21:11:47

Competition

2024

Season

Entry ID

TBE103153

Entry Submission Date

2024-06-02 15:56:17

Member's Name

Suman Chintala

Member's Email

chintalasuman@outlook.com

Entry Level

Information Technology

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IF24002 - Technical Professional of the Year

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Project Description

Suman Chintala is a highly accomplished business intelligence architect with 66 degrees. He has left substantial marks on the organization since they got hired in December 2020. With over 16 years of experience in IT, Suman stands out in leading data analysis and BI projects using Power BI, Google Looker, MicroStrategy and Snowflake. His knowledge of broad aspects of cloud technologies like Azure, AWS, and Google Cloud has empowered him to participate in strategic decision-making while nurturing data-driven cultures.

One of Suman's notable achievements was implementing call center sentiment analysis with AI/ML using Google Looker on Google Cloud. This initiative significantly improved the call review efficiency from below 1% to almost 100%, thereby enhancing the suite of services offered across Google Cloud domains. Additionally, Suman's creation of Gordon Food Services' MicroStrategy Auto AI Bot, which enhanced operational efficiency through natural language interactions, further demonstrates his ability to drive impactful change.

Suman's commitment to continuous improvement is evident in his various certifications in artificial intelligence, analytics, and cloud computing. Notably, he holds an Artificial Intelligence certificate from IEEE, among others. His dedication and expertise have been recognized with the Global Recognition Award for Pioneering Contributions in Business Intelligence and AI for 2024, further affirming his standing in the field.

Suman's work demonstrates how advanced BI & AI integration drives effectiveness through more efficient processes, business insight formulas & enhanced customer journey mapping practices." illustrates his use of CI/CD for Power BI implementation using Azure DevOps or creating interactive dashboards or optimizing data visualization exhibits his technical competence and creative thinking" portrays both his expertise in handling technical issues as well as the ability to think differently.

Combining Suman Chintala's technical skills with his strategic vision makes him a worthy nominee for the Titan Award. By significantly improving business intelligence practices, his contributions have increased efficiencies and the generation of valuable insights for various industries. Suman's commitment to excellence and innovation continuously pushes the limits of data analytics and AI as we know them.

Project Description for Judges

Question 1 : Provide a brief description / background of your nominated organizational, departmental, team, or individual circumstance. (Your response to this question will be used for public display if your entry is awarded.)

Question 2 : Outline your nominated organizational, departmental, team, or individual achievements, dated 1-3 years prior, based on your selected categories.

Outline of Achievements (2021-2024)

Individual Achievements - Suman Chintala

Development of Cloud-Based Analytics Platform (2023)

Summary: Led the development of a cloud-based analytics platform for educational outcomes improvement using Google Looker and BigQuery.

Impact: Successful proof-of-concept led to a $1M project win.

Technologies Used: Google Looker, BigQuery.

Call Center Sentiment Analysis Implementation (2023)

Summary: Voice-to-speech text transfer was implemented using generative AI with Google Looker for a call center client.

Impact: The call review efficiency improved up to nearly 100% from below 1%.

Technologies Used: Generative AI, Google Looker.

Transition of BI Systems for PwC UK’s HR Department (2022-2023)

Summary: I managed the transition from MicroStrategy to Power BI and from on-premises databases to Snowflake without any noticeable impact on operations.

Impact: Process optimization resulted in cost cuts that were significant.

Technologies Used: MicroStrategy, Power BI, Snowflake.

ERP System and Analytics Platform Overhaul for Gordon Food Services (2021-2022)

Summary: I directed the overhaul involving creation of MicroStrategy dashboards and a BigQuery-powered customer profitability analysis tool.

Impact: Decision making was made better

Technologies Used: MicroStrategy, BigQuery.

Oncology Dashboards for Orlando Health (2021)

Description: I pioneered the establishment of Oncology Dashboards that integrated different data sources with BigQuery and Power BI.Setup infrastructure to connect various marketing data sources, setup DataPrep to connect to 3rd Party Data, determine the use case for Fivetran and start validating data

Impact: Demonstrated advanced capabilities in Data Analysis

Technologies Used: GCP Platform & BigQuery,Fivetran, Power BI.

Summary

In the last 1-3 years, Suman Chintala’s accomplishments exemplify his strong dedication to innovation, efficiency and excellence in business intelligence and AI which have greatly improved the capabilities of 66degrees LLC to develop advanced analytics platforms, successfully transition systems, and enhance decision making tools that has delivered significant value for clients. These achievements underscore Suman’s technical knowledge, strategic foresight and commitment to constant improvement in the industry that makes him a standout professional.

Question 3 : Provide examples of the strategies / plans you have introduced, in order to attain your nominated organizational, departmental, team, or individual achievements. Explain why the highlighted achievements are significant / unique.

Strategy

Revolutionizing call center operations involved integrating Google Cloud's Speech-to-Text API and Natural Language API with Google Looker. The motive was to automate transcription and analysis of calls, enabling real-time sentiments of customers to be accessed and a more vibrant and responsive call center environment.

Plan

Implementation plan was about designing an automated data pipeline that would efficiently transcribe and analyze call recordings. Key steps included:

Data Ingestion: Saved audio files from calls in Google Cloud Storage.

Transcription: Converted audio files into text using Google Cloud’s Speech-to-Text API. Generative AI separated customer speech from that of agents to ensure accurate transcription.

Sentiment Analysis: By examining the tone and mood, Natural Language API helped in ascertaining customer sentiments on a real-time basis.

Topic Analysis: This was useful for identifying main topics or trends of conversation, helping understand common customer queries and issues, thus facilitating better allocation of resources e.g training.

Call Quality Rating: Used a predetermined rubric to assess resolution effectiveness, communication skills, and protocol adherence during a call.

Data Integration and Visualization: In order to enable real-time analysis & visualization via google looker we integrated sentiment, topic, and call quality data with it; developed interactive dashboards that would provide actionable insights as well tracking key performance indicators through them.

Significance

The implementation of sentiment analysis in call centers had far-reaching consequences for operational efficiency and service quality. The major accomplishments were as follows;

Efficiency Improvement: It has seen its increase towards comprehensiveness by raising the call review efficiency from below 1% up to nearly 100%. There were faster responses that the AI provided in relation to what clients wanted since it was done on time.

Operational Enhancement: This resulted in considerable reductions in review time as well as labor costs given that automation made transcription processes efficient while analyzing them which reduced the manual effort involved in the process.

Business Impact: Improved insights into business trends and customer pain points by topic analysis enabled informed decision making and strategic improvements. It enhanced resource allocation for training purposes that would result into the improved overall call center performance.

Scalability: The system was able to scale up and evaluate all calls, offering comprehensive coverage and insights that were impossible with manual reviews before.

The transcriptions from this system have potential for future data science projects such as advanced topic analysis and trend identification. Moreover, this reporting dashboard is equipped with a daily analytical function allowing management to monitor patterns of performance and make data driven decisions. This project demonstrates how AI/ML can transform business processes, improve customer satisfaction, and boost operational efficiency.

Optional Context for Judges (Not for publication. This section is solely for judges' evaluation.)

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Link List

Actions	Link	Password Protected	Password	Display (Winner Info)	Display Checked
	https://66degrees.com/projects/	No		Display

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Actions	Name	Title Organization
	Suman Chintala	Business Intelligence Architect

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Remove	Actions	File Link	File Size	File Link (System Resize)	File Size (System Resize)	Display(Winner Page)	Display Check
		upload/entry/files/TBE103153/36971718852214.pdf	1.01MB	upload/entry/files/TBE103153/36971718852214.pdf	1.01MB	Hide

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