My identify 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 subject of Information Analytics, the place I’ve gained experience in instruments like MS-Excel, Energy BI, and Energy Automate, incomes certifications instantly 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 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 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 function at FIS International Companies. As a Senior Analyst throughout 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 varied wants of our shoppers. This function not solely honed my technical prowess but in addition sharpened my capability to translate information 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 by means of 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 really captivated me about Information Science was its transformative potential – the flexibility to glean beneficial insights and make knowledgeable selections from uncooked information. This innate curiosity led me to discover numerous avenues for studying, together with certificates programs supplied by esteemed establishments like IITs. Nevertheless, 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 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 parts 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 apparent selection 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 beneficial information in Python, the importance of statistics in driving enterprise selections, and far more.
What stood out essentially the most was the unwavering assist from this system administration crew, 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 development. Professionally, it facilitated a major 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, remodeling 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 in addition automates duties, optimizing useful resource allocation throughout 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, notably within the Airtel Cash section, 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 Degree Settlement (SLA) adherence posed a major problem. It was essential to make sure that these alerts, instantly impacting income, had been promptly addressed throughout 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 stories produced in MS-Excel, which consumed 3-4 days because of massive 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 stories for all 14 international locations every day, finishing the duty inside quarter-hour. Subsequently, I built-in the outcomes of those SLA stories 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 important outcomes for our crew:
- Time Financial savings: The transition from month-to-month MS-Excel stories 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 assets extra effectively, enabling them to fulfill SLA targets successfully.
- Enhanced Efficiency Monitoring: The combination of SLA outcomes into the Tableau Dashboard offered 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 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 throughout the Income Assurance Compliance crew.
Transferring ahead, efforts are underway to additional enhance reporting frequency, aiming to publish stories 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.