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

My identify is Chetan Sharma, and I’m at the moment primarily based in Gurgaon, Haryana. Over the previous 5 years, I’ve been deeply immersed within the discipline of Information 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 information 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 expertise on the sector. Moreover, as a private pursuit, I’ve been studying boxing for the previous 12 months, 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 position at FIS World Companies. As a Senior Analyst inside the Enterprise Intelligence and Digital Transformation crew, 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 position not solely honed my technical prowess but additionally sharpened my capability to translate knowledge into actionable insights, driving enterprise outcomes.

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

What actually captivated me about Information Science was its transformative potential – the flexibility to glean useful insights and make knowledgeable choices from uncooked knowledge. This innate curiosity led me to discover numerous avenues for studying, together with certificates programs provided 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 Information Scientist at CitiBank, additional solidified my determination. Their firsthand expertise and suggestion underscored the credibility and high quality of schooling 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 principle and sensible software.

Maybe most compelling was Nice Studying’s strong profession help. The peace of mind of entry to profession alternatives post-completion instilled confidence in my determination, making Nice Studying the apparent 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 useful data in Python, the importance of statistics in driving enterprise choices, and way more.

What stood out essentially the most was the unwavering assist from this system administration crew, at all times 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 big 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 additionally 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 position.

The issue space in our enterprise vertical at Airtel Worldwide LLP, notably within the Airtel Cash section, revolved across the administration of suspicious transactions flagged by SAS programs. With 150 million customers unfold throughout 14 nations, we encountered roughly 15 million alerts month-to-month. The absence of reporting on Service Degree Settlement (SLA) adherence posed a big 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 crew at Airtel Worldwide LLP, I leveraged Information Science strategies. Recognizing the inefficiency of month-to-month reviews produced in MS-Excel, which consumed 3-4 days as a consequence of massive knowledge volumes, I devised an answer. Firstly, I linked the SQL Database to a Jupyter Pocket book and scripted a course of to generate consolidated reviews for all 14 nations every 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 nations and the analysts dealing with the alerts. This streamlined method not solely accelerated reporting but additionally enhanced visibility and monitoring capabilities, enabling proactive administration of suspicious transactions and safeguarding income integrity.

The implementation of the brand new reporting system yielded important outcomes for our crew:

  1. Time Financial savings: The transition from month-to-month MS-Excel reviews to every day automated reporting through Jupyter Pocket book resulted in roughly 3-4 days of saved human labor. This optimization allowed the SAS/Airtel Cash crew to allocate sources extra effectively, enabling them to fulfill 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 facet. This addition empowered the enterprise to determine brokers going through challenges in dealing with alerts, facilitating focused assist 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 crew.

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 Information Science for ongoing course of optimization and enterprise success.

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