My title is Chetan Sharma, and I’m at the moment based mostly in Gurgaon, Haryana. Over the previous 5 years, I’ve been deeply immersed within the area of Information Analytics, the place I’ve gained experience in instruments like MS-Excel, Energy BI, and Energy Automate, incomes certifications immediately 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 sphere. 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 strategy to each work and private improvement.Â
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 group, my main duty revolved round crafting impactful options for our clientele. Particularly, I spearheaded the event of bespoke Energy BI dashboards tailor-made to the varied wants of our purchasers. This position not solely honed my technical prowess but additionally sharpened my means to translate knowledge into actionable insights, driving enterprise outcomes.
My choice to enroll within the Nice Studying program stemmed from a deep-seated want to raise my profession trajectory by means of upskilling. After three years of immersion within the company world, I felt compelled to broaden my horizons and delve into the realm of Information Science, recognizing it because the pure development from my background in analytics.
What really captivated me about Information Science was its transformative potential – the flexibility to glean invaluable insights and make knowledgeable choices from uncooked knowledge. This innate curiosity led me to discover varied 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 choice. 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 tasks. These parts promised a holistic studying expertise, bridging the hole between idea and sensible software.
Maybe most compelling was Nice Studying’s sturdy profession help. The reassurance of entry to profession alternatives post-completion instilled confidence in my choice, 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 information science {industry}. Notably, they supported me in resuming my research after a five-year hiatus post-graduation. All through this system, I gained invaluable 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 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 development. Professionally, it facilitated a major upskilling journey, transitioning me from MS-Excel and Energy BI to proficiently constructing built-in reporting methods utilizing Python, SQL, and Tableau. This transition has allowed me to streamline processes by fetching knowledge from SQL Server, reworking it by means of 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, significantly within the Airtel Cash section, revolved across the administration of suspicious transactions flagged by SAS methods. With 150 million customers unfold throughout 14 international locations, we encountered roughly 15 million alerts month-to-month. The absence of reporting on Service Degree Settlement (SLA) adherence posed a major problem. It was essential to make sure that these alerts, immediately 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 Information Science methods. Recognizing the inefficiency of month-to-month experiences produced in MS-Excel, which consumed 3-4 days on account of giant 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 experiences for all 14 international locations each day, finishing the duty inside quarter-hour. Subsequently, I built-in the outcomes of those SLA experiences 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 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 vital outcomes for our group:
- Time Financial savings: The transition from month-to-month MS-Excel experiences to each 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 group 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 facet. This addition empowered the enterprise to determine brokers going through challenges in dealing with alerts, facilitating focused assist 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 group.
Shifting ahead, efforts are underway to additional enhance reporting frequency, aiming to publish experiences 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.