July 23, 2024



From Knowledge Analytics to Real-Time Reporting: My Professional Journey

5 min read
From Knowledge Analytics to Real-Time Reporting: My Professional Journey

My name is Chetan Sharma, and I’m presently based mostly in Gurgaon, Haryana. In excess of the past five yrs, I have been deeply immersed in the discipline of Information Analytics, where I have received expertise in instruments like MS-Excel, Electrical power BI, and Energy Automate, earning certifications directly from Microsoft.

Further than the realm of knowledge assessment, I have a enthusiasm for sports. I have experienced the privilege of symbolizing Haryana Point out in Nationwide Football game titles, showcasing my commitment and skills on the field. Also, as a own pursuit, I’ve been mastering boxing for the past calendar year, discovering both physical and psychological enrichment in the sport.

In essence, my specialist journey in details analytics is complemented by my determination to sports activities, reflecting a well-rounded technique to both of those do the job and own enhancement. 

Ahead of embarking on my journey with Excellent Mastering, I was entrenched in a dynamic part at FIS World-wide Services. As a Senior Analyst within the Company Intelligence and Digital Transformation crew, my principal duty revolved all around crafting impactful solutions for our clientele. Precisely, I spearheaded the advancement of bespoke Electrical power BI dashboards customized to the varied requires of our customers. This job not only honed my technical prowess but also sharpened my potential to translate details into actionable insights, driving enterprise results.

My final decision to enroll in the Great Mastering plan stemmed from a deep-seated drive to elevate my profession trajectory via upskilling. After a few decades of immersion in the corporate environment, I felt compelled to develop my horizons and delve into the realm of Details Science, recognizing it as the purely natural development from my qualifications in analytics.

What truly captivated me about Information Science was its transformative potential – the means to glean worthwhile insights and make informed choices from raw data. This innate curiosity led me to explore different avenues for discovering, which include certification courses provided by esteemed institutions like IITs. Having said that, it was Wonderful Mastering that stood out amongst the rest. The endorsement from a senior colleague, who served as a Direct Details Scientist at CitiBank, more solidified my selection. Their firsthand expertise and advice underscored the trustworthiness and high-quality of education imparted by Great Studying.

Also, upon delving into Fantastic Learning’s offerings, I was amazed by the meticulously crafted curriculum, customized timetables, and publicity to field-amount jobs. These aspects promised a holistic studying expertise, bridging the gap concerning theory and simple software.

Most likely most compelling was Excellent Learning’s strong vocation help. The assurance of entry to profession chances write-up-completion instilled confidence in my choice, building Fantastic Finding out the apparent selection for my academic journey.

My expertise with Excellent Finding out has been fantastic. They’ve enabled me to faucet into my whole possible by delivering detailed insights into the intricacies of the information science sector. Notably, they supported me in resuming my research after a five-calendar year hiatus submit-graduation. Through the program, I obtained beneficial know-how in Python, the significance of stats in driving business selections, and significantly far more.

What stood out the most was the unwavering assist from the system management staff, normally all set to assist, and the dedication of mentors in clarifying uncertainties and ensuring conceptual clarity.

The program has profoundly impacted both my expert trajectory and private development. Professionally, it facilitated a sizeable upskilling journey, transitioning me from MS-Excel and Electric power BI to proficiently constructing built-in reporting devices making use of Python, SQL, and Tableau. This changeover has allowed me to streamline procedures by fetching info from SQL Server, transforming it via Python, and developing dynamic dashboards tailored for enterprise and higher administration demands.

This change not only minimizes human hard work earlier invested in manual report preparation but also automates tasks, optimizing source allocation within the company. Individually, this transition signifies a milestone in my steady discovering journey, empowering me to adapt to evolving marketplace requires while maximizing effectiveness and effectiveness in my position.

The trouble space in our organization vertical at Airtel Intercontinental LLP, significantly in the Airtel Cash section, revolved close to the management of suspicious transactions flagged by SAS devices. With 150 million buyers unfold across 14 nations around the world, we encountered around 15 million alerts month-to-month. The absence of reporting on Services Degree Agreement (SLA) adherence posed a considerable obstacle. It was essential to make sure that these alerts, directly impacting income, had been instantly dealt with within just the agreed timelines to mitigate potential earnings decline.

To deal with the SLA reporting challenge in the Revenue Assurance Compliance crew at Airtel International LLP, I leveraged Details Science strategies. Recognizing the inefficiency of monthly experiences developed in MS-Excel, which consumed 3-4 times because of to massive information volumes, I devised a answer. For starters, I linked the SQL Database to a Jupyter Notebook and scripted a approach to make consolidated stories for all 14 countries everyday, finishing the job within just 15 minutes. Subsequently, I integrated the results of these SLA experiences into a Tableau Dashboard, featuring a detailed watch of weekly general performance throughout all countries and the analysts dealing with the alerts. This streamlined approach not only accelerated reporting but also improved visibility and checking capabilities, enabling proactive management of suspicious transactions and safeguarding earnings integrity.

The implementation of the new reporting procedure yielded major results for our crew:

Time Savings: The changeover from every month MS-Excel reports to day-to-day automatic reporting by means of Jupyter Notebook resulted in about 3-4 days of saved human labor. This optimization allowed the SAS/Airtel Revenue group to allocate sources additional successfully, enabling them to meet up with SLA targets successfully.

Improved Performance Monitoring: The integration of SLA outcomes into the Tableau Dashboard offered visibility into analyst-clever notify dealing with, a beforehand missed component. This addition empowered the organization to recognize agents experiencing difficulties in dealing with alerts, facilitating targeted help and schooling initiatives to boost in general functionality.

Operational Efficiency: By streamlining reporting procedures and enhancing general performance checking capabilities, the initiative contributed to over-all operational effectiveness within just the Income Assurance Compliance staff.

Transferring ahead, efforts are underway to additional increase reporting frequency, aiming to publish experiences on a around serious-time basis. This continuous enhancement demonstrates our motivation to leveraging Facts Science for ongoing system optimization and business good results.

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