Thursday, July 25, 2024

From Knowledge Analytics to Actual-Time Reporting: My Skilled Journey

My identify is Chetan Sharma, and I’m presently primarily based in Gurgaon, Haryana. Over the previous 5 years, I’ve been deeply immersed within the discipline of Knowledge Analytics, the place I’ve gained experience in instruments like MS-Excel, Energy BI, and Energy Automate, incomes certifications straight from Microsoft.

Past the realm of knowledge evaluation, I’ve a ardour for sports activities. I’ve had the privilege of representing Haryana State in Nationwide Soccer video games, showcasing my dedication and abilities on the sphere. Moreover, as a private pursuit, I’ve been studying boxing for the previous yr, discovering each bodily and psychological enrichment within the sport.

In essence, my skilled journey in knowledge analytics is complemented by my dedication to sports activities, reflecting a well-rounded method to each work and private improvement. 

Earlier than embarking on my journey with Nice Studying, I used to be entrenched in a dynamic function at FIS World Companies. As a Senior Analyst inside the Enterprise Intelligence and Digital Transformation group, my major accountability revolved round crafting impactful options for our clientele. Particularly, I spearheaded the event of bespoke Energy BI dashboards tailor-made to the various wants of our shoppers. This function not solely honed my technical prowess but in addition sharpened my capability to translate knowledge into actionable insights, driving enterprise outcomes.

My resolution to enroll within the Nice Studying program stemmed from a deep-seated need to raise my profession trajectory via upskilling. After three years of immersion within the company world, I felt compelled to broaden my horizons and delve into the realm of Knowledge Science, recognizing it because the pure development from my background in analytics.

What really captivated me about Knowledge Science was its transformative potential – the power to glean priceless insights and make knowledgeable selections from uncooked knowledge. This innate curiosity led me to discover numerous avenues for studying, together with certificates programs supplied by esteemed establishments like IITs. Nonetheless, it was Nice Studying that stood out among the many relaxation. The endorsement from a senior colleague, who served as a Lead Knowledge Scientist at CitiBank, additional solidified my resolution. Their firsthand expertise and suggestion underscored the credibility and high quality of training imparted by Nice Studying.

Furthermore, upon delving into Nice Studying’s choices, I used to be impressed by the meticulously crafted curriculum, tailor-made timetables, and publicity to industry-level tasks. These components promised a holistic studying expertise, bridging the hole between concept and sensible utility.

Maybe most compelling was Nice Studying’s sturdy profession help. The peace of mind of entry to profession alternatives post-completion instilled confidence in my resolution, making Nice Studying the plain alternative for my tutorial journey.

My expertise with Nice Studying has been distinctive. They’ve enabled me to faucet into my full potential by offering complete insights into the intricacies of the info science {industry}. Notably, they supported me in resuming my research after a five-year hiatus post-graduation. All through this system, I gained priceless information in Python, the importance of statistics in driving enterprise selections, and far more.

What stood out probably the most was the unwavering help from this system administration group, all the time prepared to help, and the dedication of mentors in clarifying doubts and guaranteeing conceptual readability.

This system has profoundly impacted each my skilled trajectory and private progress. Professionally, it facilitated a major upskilling journey, transitioning me from MS-Excel and Energy BI to proficiently constructing built-in reporting programs utilizing Python, SQL, and Tableau. This transition has allowed me to streamline processes by fetching knowledge from SQL Server, remodeling it via Python, and creating dynamic dashboards tailor-made for enterprise and higher administration wants.

This shift not solely minimizes human effort beforehand invested in handbook report preparation but in addition automates duties, optimizing useful resource allocation inside the firm. Personally, this transition signifies a milestone in my steady studying journey, empowering me to adapt to evolving {industry} calls for whereas enhancing effectivity and effectiveness in my function.

The issue space in our enterprise vertical at Airtel Worldwide LLP, significantly within the Airtel Cash phase, revolved across the administration of suspicious transactions flagged by SAS programs. With 150 million customers unfold throughout 14 international locations, we encountered roughly 15 million alerts month-to-month. The absence of reporting on Service Stage Settlement (SLA) adherence posed a major problem. It was essential to make sure that these alerts, straight impacting income, have been promptly addressed inside the agreed timelines to mitigate potential income loss.

To handle the SLA reporting problem within the Income Assurance Compliance group at Airtel Worldwide LLP, I leveraged Knowledge Science methods. Recognizing the inefficiency of month-to-month reviews produced in MS-Excel, which consumed 3-4 days on account of massive knowledge volumes, I devised an answer. Firstly, I related the SQL Database to a Jupyter Pocket book and scripted a course of to generate consolidated reviews for all 14 international locations day by day, finishing the duty inside quarter-hour. Subsequently, I built-in the outcomes of those SLA reviews right into a Tableau Dashboard, providing a complete view of weekly efficiency throughout all international locations and the analysts dealing with the alerts. This streamlined method not solely accelerated reporting but in addition enhanced visibility and monitoring capabilities, enabling proactive administration of suspicious transactions and safeguarding income integrity.

The implementation of the brand new reporting system yielded vital outcomes for our group:

  1. Time Financial savings: The transition from month-to-month MS-Excel reviews to day by day automated reporting through Jupyter Pocket book resulted in roughly 3-4 days of saved human labor. This optimization allowed the SAS/Airtel Cash group to allocate sources extra effectively, enabling them to satisfy SLA targets successfully.
  2. Enhanced Efficiency Monitoring: The combination of SLA outcomes into the Tableau Dashboard supplied visibility into analyst-wise alert dealing with, a beforehand missed side. This addition empowered the enterprise to determine brokers going through challenges in dealing with alerts, facilitating focused help and coaching initiatives to enhance total efficiency.
  3. Operational Effectivity: By streamlining reporting processes and enhancing efficiency monitoring capabilities, the initiative contributed to total operational effectivity inside the Income Assurance Compliance group.

Shifting ahead, efforts are underway to additional enhance reporting frequency, aiming to publish reviews on a close to real-time foundation. This steady enhancement displays our dedication to leveraging Knowledge Science for ongoing course of optimization and enterprise success.

Related Articles


Please enter your comment!
Please enter your name here

Stay Connected

- Advertisement -spot_img

Latest Articles