From Knowledge Analytics to Actual-Time Reporting: My Skilled Journey
My identify is Chetan Sharma, and I’m at present based mostly in Gurgaon, Haryana. Over the previous 5 years, I’ve been deeply immersed within the area 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 expertise on the sector. 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 information analytics is complemented by my dedication to sports activities, reflecting a well-rounded strategy to each work and private growth.
Earlier than embarking on my journey with Nice Studying, I used to be entrenched in a dynamic position at FIS International Providers. As a Senior Analyst inside the Enterprise Intelligence and Digital Transformation workforce, 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 purchasers. This position not solely honed my technical prowess but in addition sharpened my means to translate information into actionable insights, driving enterprise outcomes.
My resolution to enroll within the Nice Studying program stemmed from a deep-seated want to raise my profession trajectory by upskilling. After three years of immersion within the company world, I felt compelled to develop 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 flexibility to glean invaluable insights and make knowledgeable choices from uncooked information. 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 Knowledge Scientist at CitiBank, additional solidified my resolution. Their firsthand expertise and advice 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 initiatives. These parts promised a holistic studying expertise, bridging the hole between principle and sensible utility.
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 resolution, making Nice Studying the plain selection for my educational 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 invaluable information in Python, the importance of statistics in driving enterprise choices, and rather more.
What stood out essentially the most was the unwavering help from this system administration workforce, all the time prepared to help, and the dedication of mentors in clarifying doubts and making certain 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 techniques utilizing Python, SQL, and Tableau. This transition has allowed me to streamline processes by fetching information from SQL Server, reworking it by Python, and creating dynamic dashboards tailor-made for enterprise and higher administration wants.
This shift not solely minimizes human effort beforehand invested in guide 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 position.
The issue space in our enterprise vertical at Airtel Worldwide LLP, notably within the Airtel Cash phase, revolved across the administration of suspicious transactions flagged by SAS techniques. 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 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 deal with the SLA reporting problem within the Income Assurance Compliance workforce at Airtel Worldwide LLP, I leveraged Knowledge Science strategies. Recognizing the inefficiency of month-to-month studies produced in MS-Excel, which consumed 3-4 days as a result of giant information volumes, I devised an answer. Firstly, I related the SQL Database to a Jupyter Pocket book and scripted a course of to generate consolidated studies for all 14 international locations day by day, finishing the duty inside quarter-hour. Subsequently, I built-in the outcomes of those SLA studies 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 strategy 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 workforce:
- Time Financial savings: The transition from month-to-month MS-Excel studies to day by day automated reporting by way of Jupyter Pocket book resulted in roughly 3-4 days of saved human labor. This optimization allowed the SAS/Airtel Cash workforce to allocate assets extra effectively, enabling them to satisfy SLA targets successfully.
- Enhanced Efficiency Monitoring: The combination of SLA outcomes into the Tableau Dashboard supplied visibility into analyst-wise alert dealing with, a beforehand ignored side. This addition empowered the enterprise to determine brokers dealing with challenges in dealing with alerts, facilitating focused help and coaching initiatives to enhance general efficiency.
- Operational Effectivity: By streamlining reporting processes and enhancing efficiency monitoring capabilities, the initiative contributed to general operational effectivity inside the Income Assurance Compliance workforce.
Shifting ahead, efforts are underway to additional enhance reporting frequency, aiming to publish studies 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.
